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Avaya Chooses Gemini Enterprise and Google Workspace for AI-Driven Collaboration and Next-Gen Workplace Productivity

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Avaya Chooses Gemini Enterprise and Google Workspace for AI-Driven Collaboration and Next-Gen Workplace Productivity

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Avaya, a global leader in enterprise software solutions, announced it has adopted Gemini Enterprise as its core advanced agentic platform, and Google Workspace as its primary collaboration and productivity suite. This move reflects the company’s next step in equipping employees with solutions that spark innovation and improve productivity. In turn, it accelerates Avaya’s ability to deliver communications solutions that drive new value for customers.

Marketing Technology News: Martech Interview with Aquibur Rahman, CEO of Mailmodo

Gemini Enterprise supports Avaya’s AI strategy with a single, intelligent AI interface that connects disparate knowledge sources and makes entire workflows smarter. With the integration of Google Workspace with Gemini, Avaya employees will also benefit from a unified suite of cloud-native tools with AI built in, including Gmail, Google Docs, Google Drive, and Google Meet. Avaya’s decision to deepen its relationship with Google Cloud underscores a strategic commitment to simplifying its technology stack, enhancing AI-powered workplace tools, and boosting organizational agility.

It’s a decisive move toward building a more responsive company that’s better equipped to meet fast-changing customer needs. “Gemini Enterprise and Google Workspace will empower our employees through AI-driven insights and collaboration and next-gen workplace productivity ─ redefining our work environment,” said Pete Lavache, CMO at Avaya. “By reimagining workflows and unlocking greater agility across our teams, we can accelerate innovation and deliver high-value outcomes for our customers.”

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DIRECTV Named Exclusive Advertising Sales Solution for OAN and AWE

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MediaMint and Spotify Announce Global Partnership to Expand Impact for Advertisers Across Audio, Video and Display

One America News logo

DIRECTV Advertising to Represent OAN and AWE Across Major Distribution Platforms

Herring Networks, Inc., parent company of One America News Network (OAN) and A Wealth of Entertainment (AWE), announced an exclusive agreement with DIRECTV Advertising, under which DIRECTV Advertising will serve as the sole third-party sales and marketing agent for Herring Networks’ U.S. advertising inventory effective immediately.

Herring Networks will tap into DIRECTV Advertising’s resources, scale, and expertise, offering ad opportunities on connected TVs, traditional and virtual MVPDs, and over-the-air broadcasters. This also gives programmers and distributors confidence in how Herring monetizes its ad inventory.

Marketing Technology News: Martech Interview with Aquibur Rahman, CEO of Mailmodo

“This agreement underscores our commitment to best-in-class solutions anywhere our networks are available in the United States and beyond,” stated Charles Herring, President of Herring Networks. “MVPDs and virtual operators benefit when networks bring proficiency and professionalism to the marketplace. Working exclusively with DIRECTV Advertising ensures our inventory is represented with clarity, accountability, and effectiveness for brands.”

“We’re pleased to bring our expertise to Herring Networks,” said Amy Leifer, chief advertising sales officer for DIRECTV. “This agreement supports continued growth while providing advertisers with more scalable options that deliver meaningful results.”

The exclusive relationship strengthens Herring Networks’ presence in the advertising marketplace, ensures alignment with distributor expectations, and reinforces the long-term value of OAN and AWE to help brands reach their target audiences.

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Has Marketing Got A Culture Fit Problem? New Data Suggests It Might

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Has Marketing Got A Culture Fit Problem? New Data Suggests It Might

In the marketing world, agility is everything. Teams are expected to pivot at the speed of a trend and optimize their campaigns in reaction to real-time data. It’s a high-stakes, high-visibility part of any business. It also, new data suggests, has a complicated relationship with culture fit.

Earlier this year, TestGorilla conducted research on the challenges facing hiring teams when it comes to sourcing top talent. It found that, although 77% say active sourcing is crucial for their overall talent acquisition strategy, less than half of new hires are actively sourced.

It also uncovered an interesting anomaly within the marketing sector: Sourcing teams in marketing identify culture fit as a top sourcing challenge more than any other sector.

Why does culture fit matter so much to marketers? And what can we do to ensure the search for culture fit doesn’t hinder our chances of building diverse and inclusive teams?

The culture fit dilemma in numbers

The report, which is based on survey responses from hundreds of sourcing and recruitment professionals across industries, found that 44% of marketing recruiters and hiring managers are finding it difficult to source qualified candidates for their open roles. This is 10 percentage points less than the industry-wide average of 54%.

Marketing talent, it seems, is out there – and is relatively accessible to the majority of those who are looking, at least compared to other sectors. But despite this advantage, marketers are more challenged by one metric than any other group that was surveyed. And that metric is, you guessed it: Culture fit.

A full 56% of marketing professionals identify culture fit as a top sourcing challenge, compared to an industry-wide average of 47%. In the same dataset, most of these teams name diversity of candidate pipeline as a measure of success for their sourcing efforts (53% vs. 36% industry-wide).

Herein lies the paradox: “cultural fit” and “pipeline diversity” can act, if we’re not careful, as opposing forces. An obsessive pursuit of the former can become a barrier to achieving the latter. So why is marketing more interested in culture than other sectors? And how can teams and recruiters approach the search for culturally-aligned candidates without hiring more of the same person and hindering their chances of achieving meaningful diversity?

Why is marketing uniquely fixated on culture?

The answer may lie in the very nature of the job. Marketers are the guardians of the brand. They are responsible for its voice, its image, and its “vibe.” A logical (but flawed) assumption follows: to effectively communicate the brand, one must be the brand.

This can create a self-reinforcing bias. Hiring managers might, without even realizing, look for candidates who “feel” right for the brand – which, in many cases, means candidates who feel, think, and look just like them. If you find yourself looking for a certain kind of LinkedIn profile when you’re sourcing for marketing candidates, this might be you.

Cultural fit is a tricky term at the best of times. Too often it becomes a proxy for questions like – “Will I find this person easy to manage?” “Do they share my communication style?” or, dangerously, “Would I want to have a beer with them?”

This is not to dismiss the importance of hiring people who ‘get’ the brand. As brand guardians, it’s important for marketers to deeply understand and respond to the brand – it’s part of the job, after all. It’s just to say that filtering for fit can be a risk. If you’re judging an applicant’s culture fit based on a resume or a LinkedIn profile alone, you could be missing out.

Marketing Technology News: Martech Interview with Aquibur Rahman, CEO of Mailmodo

Marketers most likely to invest in new sourcing tech

It’s a weird time to be in marketing. Marketing sourcing teams are most likely to anticipate disruption from economic volatility and budget constraints (40% vs. 28% industry average), for example. According to other industry data, 70% of marketers expect AI to play a bigger role in their work, and 48% say that increasing AI adoption is a top goal. Marketers are under more pressure than ever to streamline operations and use AI to reduce spend.

Yet they’re also more likely than any other industry to plan new sourcing tech investment – 75% of those we surveyed are planning to invest, vs. just 61% across all industries. If anything, the drive to use AI for efficiency makes sourcing the best talent an even more pressing issue, as teams need collaborative problem-solvers who understand how to use new tech effectively.

It’s promising to see this investment mindset in the sector. But, given marketing’s culture fit dilemma, it’s imperative that teams invest in the right tools. Marketing recruiters don’t need another overpriced subscription to a resume database that carts over more of the same candidates, with very little information about who these people actually are. They need new ways to validate skills and cultural alignment fairly, and as early as possible.

By seeking ways to do this, they can make diverse candidate pipelines a reality. Maybe validating, rather than assuming, culture fit has been the best way to secure it all along.

MobiLoud Launches AI-Powered Analytics Dashboard for Real-Time Mobile App Insights

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MobiLoud Launches AI-Powered Analytics Dashboard for Real-Time Mobile App Insights

MobiLoud Launches AI-Powered Analytics Dashboard for Real-Time Mobile App  Insights - Biotechnology News Today - EIN Presswire

New reporting features give ecommerce brands full visibility into app revenue, engagement, acquisition, and push notification performance.

Ecommerce mobile app builder MobiLoud announced the launch of its new AI-powered analytics dashboard, designed to give ecommerce brands real-time, actionable insights into how their mobile apps perform and how much incremental value they drive for the business.

The new dashboard centralizes mobile app data into a single, intuitive view; eliminating the need for merchants to stitch together reports from multiple tools or rely on delayed, incomplete snapshots of performance.

The result is a clear, real-time understanding of how a MobiLoud-powered mobile app contributes to revenue, engagement, retention, and overall business growth.

When brands invest in a mobile app, they should be able to see, at a glance, how it’s performing and where it’s delivering ROI. That’s exactly what this launch enables.”

— Pietro Saccomani

The new analytics dashboard gives merchants a complete view of app performance in real time and access to a wide range of performance metrics, including:

– App revenue and conversion performance
– User engagement and retention metrics
– User acquisition and growth trends
– App performance vs. mobile website
– Revenue and engagement by product
– Push notification performance
– Push notification engagement and performance by campaign

Marketing Technology News: Martech Interview with Aquibur Rahman, CEO of Mailmodo

By bringing these metrics together, merchants can see not just what their app is doing, but how it fits into the broader ecommerce ecosystem and where it creates measurable lift.

“Most brands know their app is important, but very few have a clear picture of why it performs better – or where it’s driving incremental growth,” said Pietro Saccomani, Founder and CEO of MobiLoud. “This dashboard changes that. It gives merchants real-time clarity on how their app impacts revenue, engagement, and retention, so they can make smarter decisions faster.”

From Raw Data to Business Intelligence
Unlike basic analytics tools that focus on isolated metrics, MobiLoud’s new dashboard is designed to answer higher-level business questions, such as:
– How much revenue is the app generating compared to the mobile website?
– Which products perform best in the app?
– How effective are push notifications compared to other retention channels?
– How engaged are app users over time?

By leveraging real-time data processing and visualization, MobiLoud ensures that insights are always current, accurate, and easy to interpret, without requiring merchants to be data experts.

The dashboard is built for ecommerce operators, growth teams, and executives who need fast answers and clear signals – not complex spreadsheets. With AI-assisted insights and customizable views, teams can quickly identify trends, spot opportunities, and double down on what’s working.

“This is about accountability and confidence,” added Saccomani. “When brands invest in a mobile app, they should be able to see – at a glance – how it’s performing and where it’s delivering ROI. That’s exactly what this launch enables.”

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Crafter Software Pre-Announces CrafterQ, a New AI Chatbot Platform for Business Websites and Digital Channels

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Nutshell's AI Agent Marketplace is here to save you time and keep moving deals forward

CrafterQ AI Platform Waitlist Now Open Ahead of Official Launch

Crafter Software, the software development studio crafting AI-native platforms that power enterprise digital experiences, announced plans to launch CrafterQ, a new AI chatbot platform purpose-built for business websites and digital channels. The company has opened a public Waitlist ahead of the official product launch planned for early 2026.

CrafterQ is designed to help organizations deploy custom, accurate, secure and brand-aligned AI agents across websites, intranets, and digital experiences without the risks commonly associated with generic AI chatbots.

CrafterQ is designed to give organizations the benefits of conversational AI while keeping them firmly in control.”

— Mike Vertal, CEO of Crafter Software

“AI is rapidly becoming the new user interface for digital experiences, but most chatbot solutions were not built for enterprise realities like governance, accuracy, and brand control,” said Mike Vertal, CEO of Crafter Software. “CrafterQ is designed to give organizations the benefits of conversational AI while keeping them firmly in control.”

An AI Chatbot Platform Built for Business Use Cases

Many organizations still rely on either scripted chatbots with narrow capabilities or public LLM services that lack the controls required for business use. In contrast, CrafterQ is built specifically for business websites and digital channels where trust, accuracy, and compliance matter. The platform enables organizations to create AI agents that are tightly grounded in approved enterprise content, documentation, and knowledge sources.

Key capabilities of CrafterQ include:

– Data-Bounded AI Responses: CrafterQ agents answer questions strictly from approved enterprise content and documents, helping prevent hallucinations, misinformation, and off-brand responses.

– Enterprise-Grade Guardrails and Governance: Built-in controls for input/output filtering, access control, and auditability ensure AI interactions align with organizational policies and compliance requirements.

– No-Code Agent Configuration: Business teams can configure AI agent instructions, tone, and behavior without writing code, while technical teams retain full control over integrations and data sources.

Marketing Technology News: Martech Interview with Aquibur Rahman, CEO of Mailmodo

– Full Transparency and Analytics: Teams can review chat logs, analyze user questions, and continuously improve agent performance based on real interaction data.

– Omnichannel Deployment: Deploy AI agents across websites and other digital touchpoints to dramatically improve customer support, marketing engagement, sales enablement, and internal knowledge use cases.

Key Use Cases

CrafterQ is designed to support a wide range of high-impact business scenarios, including:

– Conversational AI for Marketing and Business Websites: Engage visitors more effectively by answering questions, guiding users to relevant content, and helping prospects understand products and services in real time.

– AI Agents for E-Commerce Experiences: Help shoppers find products faster, answer purchase-related questions, and drive higher conversion rates through guided, conversational selling.

– Conversational AI for Customer Support Portals: Improve service efficiency by delivering instant, accurate answers grounded in support documentation—reducing ticket volume and improving customer satisfaction.

Waitlist Now Open

Crafter Software is inviting organizations, digital leaders, and partners to join the CrafterQ Waitlist ahead of the official launch. Early access participants will receive product updates, previews of upcoming features, and priority onboarding opportunities. Select participants will be invited into the CrafterQ Beta Test program currently underway.

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VideoAmp Appoints Tony Fagan as CEO to Lead Next Phase of AI-Driven Growth

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TrafficGuard Appoints Scott Thomson as Head of AI to Drive Next-Generation Fraud Prevention and Platform Innovation

VideoAmp, the tech-first measurement company, announced a CEO transition, with Peter Liguori stepping down as Chief Executive Officer effective January 5, 2026, and Tony Fagan, currently President, assuming the role of CEO beginning January 6, 2026. Liguori remains a member of the board and continues to support the company’s long-term vision.

The transition reflects VideoAmp’s increased focus on innovation, advanced audiences, and AI-driven outcomes measurement.

Liguori has been a member of the Board for more than five years and, prior to his role as CEO, served as VideoAmp’s Executive Chairman. During his tenure, he helped build meaningful momentum across the business, deepening relationships across the publisher and agency ecosystem, strengthening partner confidence, and reinforcing VideoAmp’s position as a trusted leader in advanced audiences and outcomes measurement during a period of significant industry change.

Marketing Technology News: Martech Interview with Aquibur Rahman, CEO of Mailmodo

“As VideoAmp turns the page to its next, exciting AI chapter, I can think of no one more qualified to lead the company into the agentic future than Tony Fagan,” said Liguori. “I look forward to supporting him on this exciting journey.”

Fagan has served as President during a period of significant platform evolution, overseeing advancement of VideoAmp’s technology stack and outcomes-driven architecture. His elevation underscores the company’s belief that the next phase of growth will be led by deep technical leadership and a strong understanding of customer outcomes.

“VideoAmp delivers a best-in-class tech stack for advanced audiences and outcomes measurement,” said Fagan. “We are investing heavily in agentic optimization to drive campaign performance against those outcomes.”

Under Fagan’s leadership, VideoAmp will accelerate investment in agentic AI and intelligent optimization technologies designed to help advertisers, publishers, and agencies drive measurable results in an increasingly complex media landscape.

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YY Group and Graymatics Enter into Strategic Partnership for Preferred Distribution of AI Video Analytics in Singapore

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Comscore and Yahoo DSP Partner to Advance CTV Political Advertising with Proximic Political Audiences

Partnership to Drive Adoption of AI-powered Video Analytics Across Key Commercial Sectors

YY Group Holding Limited (NASDAQ: YYGH) (“YY Group”) and Graymatics-SG Pte Ltd (“Graymatics”) announced the formation of a strategic partnership for the preferred distribution of Graymatics’ AI-powered video analytics solutions in Singapore.

Under the terms of the agreement, YY Group will distribute Graymatics’ cloud-based video analytics platform in Singapore. Leveraging YY Group’s established presence in hospitality, retail, and facilities management, the partnership will enable enterprises to transform existing surveillance infrastructure into actionable business intelligence.

We are excited to partner with Graymatics to accelerate the adoption of their innovative solutions across our extensive client network.”

— Mike Fu, Chief Executive Officer of YY Group

The collaboration addresses the growing demand for intelligent analytics across Singapore’s commercial sectors. Graymatics’ platform extends beyond traditional security applications, enabling organizations in smart buildings, manufacturing, and retail to optimize operations, strengthen compliance, and make data-driven decisions. Together, the two companies aim to accelerate market adoption while delivering exceptional value to customers.

Marketing Technology News: Martech Interview with Aquibur Rahman, CEO of Mailmodo

“We are excited to partner with Graymatics to accelerate the adoption of their innovative solutions across our extensive client network,” said Mr. Mike Fu, Founder, Chairman, and Chief Executive Officer of YY Group. “This partnership represents a significant opportunity to enhance operational capabilities for businesses in Singapore while strengthening our position as a leading provider of smart enterprise solutions in the region.”

Mr. Abhijit Shanbhag, Chief Executive Officer of Graymatics-SG Pte Ltd, added: “YY Group’s strong market presence and proven execution capabilities in Singapore make them an ideal partner for us. This collaboration will accelerate our market penetration and enable us to better serve customers across Singapore.”

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2026 Global AI Trends: iMini AI Releases Precision Image Editing Tool

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2026 Global AI Trends: iMini AI Releases Precision Image Editing Tool

AI image generation and precision editing in one platform — empowering everyone to create stunning visuals with ease.

AI Image Generator technology is booming — but “easy to use” is still one of the industry’s biggest challenges. In recent years, AI Image Generators have rapidly spread across social media, marketing content, and personal creative projects, pushing visual demand to new highs. Yet behind the hype, many users still find themselves re-generating again and again — in a way that feels like gacha pulls, where you keep trying until something finally works. The process is time-consuming, unpredictable, and difficult to control from a cost perspective. Based on extensive user research, iMini AI set out to explore a more controllable and reliable creative path.Instead of treating AI Image Generation as a matter of luck, iMini AI began asking a different question: what if creators could actually stay in control?
Against this backdrop, iMini AI has launched its new Precise Editing Tool — designed to deliver more controllable, natural, and high-fidelity results from AI Image Generators, redefining how people interact with images and giving creators around the world an easier, more sustainable way to improve their visuals.

Marketing Technology News: Martech Interview with Aquibur Rahman, CEO of Mailmodo

iMini AI avoids the steep learning curve of professional editing software like Photoshop by deeply integrating AI Image Generator outputs with AI-powered editing. Users can fine-tune results directly during creation: simply highlight the area to adjust, describe the change (for example: “replace the text with ***” or “change this section to ***”), and the system completes the edit in one step. In practical terms, this means creators spend less time fixing mistakes and more time shaping the final look.The precise editing engine works across 3–9 intelligent layers, extracting visual elements to support background extension, object removal, subject isolation, and more — while ensuring smooth, natural transitions with the original AI-generated image. With support for 2K–4K output, visuals maintain clarity and accuracy without compression. This “local adjustment, global consistency” approach meets professional quality demands while dramatically lowering the barrier for everyday users — solving the long-standing problem of endless AI Image Generator re-runs just to achieve acceptable results.

And precision only works when it sits inside a complete workflow. Unlike traditional single-model platforms, iMini AI brings multiple leading AI Image Generator models into one place — including Nano Banana Pro, Seedream 4.5, Midjourney, Veo 3.1 and more. The platform supports creators across social content, e-commerce, brand design, freelancers, and digital nomads. Instead of switching between tools, copying prompts, and re-uploading assets, users can simply log in to iMini and complete the entire journey — from idea → AI Image Generator output → optimization — in one workflow. This new precise editing upgrade completes the final “optimize” step, helping users move faster with greater consistency.
Beyond tools, iMini sees creation as something users build together. That thinking led to the introduction of the Workspace + Community experience, transforming creation from one-way posting into a continuous cycle of collaboration and shared inspiration. Inside iMini, AI-generated works can be liked, saved, and built upon using open cases and reusable editing trails — turning AI Image Generator outputs into evolving creative media. Creators can learn from others, reuse templates, and gradually form workflows that suit their style.

Whether someone is a beginner exploring AI Image Generators for the first time or a professional working under tight deadlines, iMini AI aims to deliver a smooth, controllable, and trustworthy creative environment. This human-centered, full-workflow product philosophy continues to guide how the platform evolves.With this upgrade, iMini AI is tackling one of the industry’s toughest challenges — the inability to accurately control generation costs. Rather than being “just another AI Image Generator,” iMini AI integrates generation and precision editing into one ecosystem, enabling anyone to create better visuals with lower cost, higher efficiency, and more confidence.

In the long run, iMini AI hopes to make high-quality visual creation feel less like chance — and more like craft, fully leveraging the power of AI Image Generators to empower creators worldwide.

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TokTak Unifies Global AI Content Platform Under toktak.ai as Link-Based Creation Surges Worldwide

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TokTak Unifies Global AI Content Platform Under toktak.ai as Link-Based Creation Surges Worldwide

집에서하는부업 톡탁ai 로 콘텐츠 자동화하기 : 네이버 블로그

World’s first link-based AI platform that auto-creates and publishes social content across channels, now available via a single global domain with USD billing.

TokTak, an AI-powered content automation platform, has unified its global service under a single domain, toktak.ai, giving businesses and creators one address for accessing the platform from anywhere in the world. With this change, TokTak is positioning itself as a global standard for “link-first” social content creation and distribution.

TokTak is the world’s first link-based AI platform that lets users paste a product URL or enter a product name and have AI automatically generate ready-to-publish social content. From a single link, TokTak creates short-form video scripts, carousel-style posts, and blog-style copy, then publishes them across connected social channels. By centering the workflow on the product link rather than manual editing, TokTak helps small teams and solo sellers keep up with multi-channel marketing without rebuilding every asset from scratch.

Seeing our monthly content generation surpass 300,000 pieces and our total views reach 300 million is a clear sign that our link-based, AI-driven workflow is being adopted by real marketing teams.”

— Jin Kim, Chief Strategy Officer (CSO) at Bodaplay

The impact of this approach is visible in the platform’s growth. According to the company, TokTak now generates and publishes more than 300,000 pieces of content every month, while its active user base has been growing by an average of 83 percent per month. Content created through TokTak has accumulated over 300 million views across social channels, a level of activity the company sees as clear evidence that its world-first, link-based AI workflows are being adopted in real marketing operations by sellers, creators, and affiliate marketers.

Marketing Technology News: Martech Interview with Aquibur Rahman, CEO of Mailmodo

The move to a single domain is intended to make that adoption even easier. By designating toktak.ai as the global entry point, TokTak allows users to sign up, generate content, and manage their plans from the same address, whether they are operating in Asia, North America, Europe, or beyond.

On top of this, the global service supports 11 languages, with English as the primary working language and additional options including Korean, Vietnamese, Chinese, Japanese, French, German, Spanish, Portuguese, Russian, and Indonesian. When users switch languages inside TokTak, both the interface and AI-generated content—such as subtitles, body copy, and carousel text—are adapted to the selected language. This makes it easier for cross-border sellers and affiliate marketers to localize content for multiple markets while continuing to work from a single product source.

To match this global reach, TokTak has also standardized how users pay. For customers paying in U.S. dollars, the platform offers a unified global pricing model available as subscriptions and credit bundles. Payments can be made via PayPal or 3D Secure–enabled card payments, with the same set of plans and features available regardless of where the user is located.

“Since we opened up TokTak to global users, we’ve started to see how deeply it can fit into everyday workflows,” said Jin Kim, Chief Strategy Officer (CSO) at Bodaplay, the company behind TokTak. “Seeing our monthly content generation surpass 300,000 pieces and our total views reach 300 million has validated what we believed from the beginning. For us, these numbers are a clear sign that the world’s first link-based, AI-driven workflow is being adopted by real marketing teams, not just tested in demos.”

“Our focus going forward is to make it possible for small teams and solo sellers to test and grow in global markets with nothing more than a product link and a few clicks, instead of wrestling with complex editing tools,” Kim added. “We want TokTak to be the kind of global tool that teams keep using because it genuinely matches the way they work.”

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Hosted.com’s WordPress Hosting Infrastructure Enhancements for Uptime and Performance

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Hosted.com Examines Prompt Injection Threats Affecting Websites Using AI

Hosted.com®

Hosted.com’s WordPress hosting performance achieves 99.9% uptime & faster response times with advanced server architecture and CloudLinux resource partitioning.

Hosted.com has announced major infrastructure improvements to its WordPress Hosting platform, resulting in a verified uptime of 99.9% and enhanced overall system performance. These enhancements enable the company to deliver dependable website performance, enabling businesses to operate uninterrupted and without concerns about downtime.

The optimizations focused on refining the technical foundation that supports WordPress sites hosted on the company’s systems. These improvements include advanced server architecture, enhanced processing and resource allocation technologies, and refined caching and database systems designed to maintain steady performance and uptime.

Our focus is on improving uptime and reliability. By optimizing hardware and software, we deliver a high-performance, stable WordPress hosting that keeps websites fast, secure, and consistently online”

— Wayne Diamond

Server Hardware and Software
Hosted.com’s WordPress Hosting server infrastructure is built to meet the specific requirements of the WordPress CMS (Content Management System). The company uses high-frequency AMD processors and DDR5 memory to enhance CPU speed, content delivery, and database responsiveness even during peak traffic periods or spikes.

Marketing Technology News: Martech Interview with Aquibur Rahman, CEO of Mailmodo

These features are part of Hosted.com’s ongoing effort to provide a reliable platform for businesses that use WordPress to build and manage their websites.

In addition to the hardware, Hosted.com has enhanced its content and data distribution systems by integrating the WordPress LiteSpeed Caching plugin. These updates help manage the flow of content between servers and visitors, ensuring that static files and frequently accessed data load quickly without needing to be downloaded on each visit. The result is smoother site navigation and faster performance across varying device types and locations.

Hosted.com’s focus on optimization also includes database configurations that support WordPress performance. The system is designed to handle content-heavy, dynamic websites efficiently, improving querying and page responsiveness without requiring additional adjustments.

CloudLinux Server Software
Hosted.com’s partnership with CloudLinux, a Linux-based server operating system, provides resource partitioning and isolation features that allow the company to manage website performance and stability better.

CloudLinux’s Lightweight Virtual Environment (LVE) technology allows for the containment of resource usage within individual accounts. This prevents the “noisy neighbor” effect, a common challenge in shared hosting environments, where one website’s activity can impact others. Through this system, each site on the server is allocated its own CPU, memory, and I/O resources, ensuring balanced performance across all accounts.

The isolation capabilities of CloudLinux also provide an additional layer of security by minimizing cross-site vulnerabilities. Each account operates within its own secure container, reducing the risk of unauthorized access and protecting against the spread of malware or data theft.

Wayne Diamond, CEO of Hosted.com, said:
“Our objective has been to deliver tangible improvements that directly impact uptime and operational consistency. By refining both hardware and software-level performances, we can offer customers a reliable, high-performance WordPress environment. Each element has been implemented with long-term stability in mind. The integration of advanced operating system software backed by cutting-edge hardware components helps ensure that our customers’ websites stay up, available, and running smoothly.”

The hosting structure reflects Hosted.com’s emphasis on maintaining a dependable infrastructure for WordPress users. By combining high-performance hardware with sophisticated software tools, the company has reinforced its ability to deliver reliable hosting for a range of site sizes and configurations.

Looking ahead, Hosted.com plans to continue refining its system architecture to align with emerging web standards and technology developments. Its ongoing objective is to provide dependable uptime, consistent speed, and a secure environment for WordPress users.

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The New Martech Moat: Ecosystem Depth Over Product Differentiation

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The New Martech Moat: Ecosystem Depth Over Product Differentiation

In the past, great items were enough. A single new feature or workflow enhancement might make a digital marketing software company the best in its field for years. That edge is gone now. In Martech, the time that feature-based difference lasts has gotten much shorter, making even the most cutting-edge items easy to copy quickly. It used to take years to copy something, but now it can be done in a matter of months.

One reason is that “best-in-class” features are becoming more and more like other products. Advanced analytics, customization engines, attribution models, and automation are just a few of the features that are used to make premium prices worth it. Now, they are all over the ecosystem.

Open-source frameworks, shared design patterns, and AI models that are getting better all the time imply that competitors can copy fundamental features very quickly. In martech, it’s not enough to be “better” at one thing anymore if purchasers expect all products to be the same.

The speed of invention makes this strain much worse. Low-code tools, AI-driven development, and API-first architectures have all sped up the building process in the sector. Teams can now prototype, deploy, and iterate faster than ever before, which lowers the cost and risk of trying new things. Innovation has changed from being rare and hard to defend to being constant and easy to get rid of. In martech, speed is a double-edged sword: it helps things move quickly, but it also takes away long-term advantages.

Buyer expectations have changed over time. Marketing leaders don’t just look at tools on their own anymore; they also look at how well a solution fits into a data environment that is getting more complicated all the time. Integration reliability, data accessibility, and interoperability are becoming more important than little feature improvements.

A product that works great on its own but doesn’t fit in with the rest of the environment rapidly becomes a problem. This is where typical product-focused strategies start to fail in martech.

Defensibility is no longer only about individual products; it’s now about ecosystems. Ecosystems create value that grows over time through integrations, partners, shared data, and network effects that are far tougher to copy than features. They raise the costs of transferring not through contracts, but by making people dependent on them and making things easier. In today’s martech, the real moat isn’t what a product can accomplish by itself, but how well it fits into a network of capabilities that is always growing.

The main point is clear: exceptional products are still needed, but they aren’t enough anymore. As the pace of innovation speeds up and features become more equal, ecosystems—not products—will be what determines long-term survival and leadership. In the coming era, people who design for connectivity, extensibility, and shared value creation will be the ones who succeed, not simply those who make things that work well.

The Boundaries of Product Differentiation in MarTech

For a long time, the main fight in Martech was over how to make products different from each other. Vendors fought over features, performance, and ease of use, thinking that better functionality would lead to long-term market dominance.

That idea is no longer true. Today, feature innovation is no longer a way to go ahead of the competition; it’s just a way to stay in the game. This means that firms need to think about what really sets them apart in a market that is getting more crowded.

Feature Innovation Has Become the Baseline

Most modern Martech platforms include a set of features that are well-known: automation, analytics, personalization, attribution, and AI-assisted insights. What used to set category leaders apart is now required of everyone. Buyers think these attributes are there and look at other things when they rate them. So, innovation at the feature level doesn’t usually give a company a long-term edge; it only keeps them relevant.

This change has made it more expensive to get in and less rewarding. Teams have to spend a lot of money merely to be competitive, but those investments don’t often lead to a position that can be defended. Feature roadmaps that used to set companies apart now serve as maintenance plans, making sure that all companies are equal instead of leading the way.

AI as an Equalizer, Not a Differentiator

People thought that AI would be the next big thing in Martech, but it has swiftly become something that makes things more equitable. Pre-trained models, open frameworks, and AI services in the cloud make it easy for suppliers to add similar features. Predictive scoring, content production, and behavioral insights are now available in rival offerings of similar quality.

AI capabilities are becoming more and more standardized, so they no longer offer a long-term advantage. When every platform can say it has “AI-powered” features, the value moves from the model itself to how intelligence is used across platforms. AI makes the need for integration in Martech stronger, rather than replacing it as a way to stand apart.

UX, Workflows, and Analytics Are No Longer Enough

User experience and workflow design used to be great ways to stand out. Dashboards that are easy to use and processes that are easy to follow could help keep customers and reduce turnover. But today, design patterns come together quickly, and best practices propagate quickly across the industry. Things that seem new today will seem normal tomorrow.

Analytics capabilities, which used to set companies apart, are now the same for everyone. Dashboards, reports, and visualizations are looking more and more comparable on different platforms. In Martech, usability improvements are still important, but they aren’t enough on their own to make a long-term difference without more value for the whole ecosystem.

The Erosion of Switching Costs in Standalone Tools

Standalone tools are having a harder time because switching costs are going down. Customers can switch from one solution to another more easily than ever, thanks to cloud deployment, flexible contracts, and modular designs. Data portability and API access make lock-in even less likely, giving buyers the freedom to try out other vendors with little hassle.

This dynamic makes product-level distinction less effective as a defense. In Martech, a tool becomes interchangeable if it doesn’t play a key part in a larger ecosystem. Customers are less likely to be loyal when they don’t see any downside to switching.

Why Differentiation Without Integration Doesn’t Work at Scale?

The biggest problem with product differentiation is that it can’t grow without integration. As businesses get bigger, their marketing efforts involve more teams, platforms, and data sources. Tools that work alone cause problems, data silos, and inefficiencies that are worse than any benefits at the feature level.

In Martech, differentiation that doesn’t take integration into account doesn’t work since value is created between systems, not within them. Products need to work together to make the whole ecosystem work, allowing for data flow, orchestration, and cooperation. Without this, even the most cutting-edge features become useless.

The conclusion is clear: product differentiation alone is no longer a viable strategy. In a market where speed, equality, and interoperability are important, Martech leaders need to look beyond features and toward ecosystems that add value over time.

APIs Are The Building Blocks Of Today’s Martech Ecosystems

APIs have become the hidden structure that holds everything together as marketing technology stacks get more complicated. APIs are no longer merely technical tools that developers utilize in the background in today’s Martech world.

They are strategic infrastructure that decides how platforms grow, work together, and add value over time. The quality, dependability, and extensibility of its APIs are becoming more and more important to the health of a Martech ecosystem.

APIs as Strategic Infrastructure, Not Technical Plumbing

In the past, APIs were seen as utility plumbing: useful but not very interesting. That way of thinking has altered. APIs in modern Martech tell products how to work together in ecosystems, how partners can develop on top of platforms, and how customers can change their stacks. Well-designed APIs make it easier to come up with new ideas without adding a lot of unnecessary features to the main product.

When you treat APIs like important assets, they can be a strategic lever. They let vendors reach more people than just their own roadmap, which lets third parties create value that the core team never thought about. APIs turn Martech platforms from closed systems into open economic engines in this way.

Composability and Modular Marketing Stacks

Composable architecture is changing the way companies put together their marketing stacks. Instead of using monolithic platforms, teams are putting together modular systems with the best parts. APIs make this feasible by letting you change out, update, or combine tools without destroying the whole stack.

In Martech, composability makes businesses more flexible and able to bounce back. It makes it less necessary to rely on one seller and lets you try things out quickly. Platforms that have clean, well-documented APIs that allow modularity become the building blocks of these stacks. On the other hand, platforms that don’t support composability risk being left out.

Data Fluidity as a Competitive Advantage

APIs are the arteries that carry data, which is the lifeblood of marketing operations. Being able to transport data easily between systems like campaign platforms, CRM, analytics, and customer data layers gives you a big edge over your competitors. In Martech, how easily data moves around is often more important than any one feature.

Organizations can move faster and make better choices when they use APIs that let them share data in real time, have uniform schemas, and work reliably. When data flows freely, teams can make experiences more personal, spend money more wisely, and measure the effects more accurately. On the other hand, platforms that make it harder to get to data or limit access create friction that lowers value.

Why API Reliability and Consistency Matter More Than Feature Velocity?

Feature speed is tempting, but APIs that don’t work can bring even the most advanced platforms to their knees. In Martech ecosystems, being reliable and consistent is frequently more important than quickly adding new features. Trust is lost, and operational risk goes up when integrations break, answers are inconsistent, or changes are not documented.

APIs are very important for businesses that automate more of their labor and use systems that are connected to each other. Long-term planning and scaling are possible because of stable contracts, backward compatibility, and behavior that can be predicted. Vendors that put reliability first in their APIs make themselves look like trustworthy infrastructure. On the other hand, vendors that chase features at the expense of stability have a hard time keeping ecosystem partners.

Internal vs. External APIs: Making Innovation Possible at the Edge

Not every API does the same thing. Internal APIs make the main features of a product work and let teams work faster inside the company. On the other side, external APIs give customers, partners, and developers the freedom to come up with new ideas on the edge of the platform. In a robust Martech ecosystem, both are necessary.

External APIs let clients customize platforms to fit their own workflows and connect them to larger company systems. They also make it possible for marketplaces, extensions, and bespoke apps to be built on top of the platform, which adds to its value. The best Martech platforms pay equal attention to designing APIs for both internal and external use. They know that more and more new ideas come from outside the main product.

APIs are the building blocks of current Martech ecosystems, in the end. They make it possible to compose things, free up data flow, and move innovation from closed roadmaps to open networks. In a world where ecosystem depth is more important than independent features, APIs are no longer optional; they are the strategy itself.

Marketing Technology News: Martech Interview with Aquibur Rahman, CEO of Mailmodo

Marketplaces and Partner Extensibility

As feature-based distinction becomes less important, the focus of Martech is moving away from standalone products and toward platforms that let other people add value to them.

Marketplaces and partner extensibility are no longer just “nice-to-have” extras; they are becoming the main drivers of innovation, distribution, and long-term security. In this new world, the platforms that succeed aren’t the ones that ship the most features; they’re the ones that make it easiest for outside ideas to grow.

Why Platforms Win by Letting Others Build Differentiation?

No one vendor can know every use case, procedure, or industry detail that their customers will need. In today’s Martech, trying to achieve this often results in products that are too big and slow down innovation. Platforms that let partners avoid this trap by letting differences naturally grow at the edges.

Platforms become more useful without becoming more complicated by letting third parties make integrations, extensions, and solutions for specific industries. This method keeps the main product focused and steady as partners try out new things and specialize. In a way, the platform becomes a canvas, and differentiation becomes a shared goal instead of a major problem.

  • Partner ecosystems as engines of innovation

Partner ecosystems are becoming some of the most effective tools for innovation in Martech. Startups, agencies, system integrators, and even customers themselves add new features faster than any one corporate team could do on its own. These partners are closer to real-world issues, which gives them a unique perspective on new demands.

Ecosystem-driven innovation is different from traditional vendor-led innovation cycles since it happens all at once, all the time, and is based on demand. Several partners can try things out at the same time, test them in the market, and make them better based on what customers say. Innovations that work well grow naturally, while those that don’t die off. This is a natural selection process that makes the whole Martech ecosystem stronger.

  • The Shift From Vendor Roadmaps to Community-Driven Development

In the past, customers had to wait for providers to put features on tight roadmaps. That model isn’t working anymore. More and more, value creation happens outside of formal product plans in today’s Martech contexts. Customers and partners may construct what they need when they need it via community-driven development.

The vendor’s job moves from making features to taking care of the ecosystem. Vendors don’t make every decision about new features; instead, they focus on keeping platform standards, APIs, security, and governance in place. The result is a more flexible system, where innovation happens all the time instead of just once in a while, and that is far more in line with what the market really wants.

  • Marketplaces as Distribution, Monetization, and Validation Layers

Marketplaces represent the business side of partner extensibility. They do three important things in Martech ecosystems. First, they are distribution channels that give partners immediate access to a qualified user base. Second, they give developers methods to make money, which lets them build long-term companies on the platform.

Third, and frequently forgotten, marketplaces act as layers of validation. Customer adoption, reviews, and usage data rapidly show which extensions are worth using. This openness is good for everyone: customers can make better decisions, partners become more trustworthy, and platforms build trust in their ecosystem. As time goes on, the marketplace becomes a living map of where new ideas are being developed on the Martech platform.

How Extensibility Reduces Platform Churn and Increases Ecosystem Gravity?

Retention is directly affected by extensibility. When users customize a platform with their own connectors, workflows, and solutions made by partners, it costs more to switch. The platform becomes a part of the business not just technically, but also in terms of how it works. In Martech, this kind of lock-in isn’t forced; it’s earned by being useful and flexible.

Extensibility, on the other hand, makes ecosystems more attractive. Partners want platforms that have a lot of users and clear ways to make money. Customers like platforms that have a lot of different features and solutions that have worked in the past. This flywheel effect makes the platform stronger in the market, which makes it tougher for competitors to take its place.

From businesses that make things to economies that run on platforms

Marketplaces and partner extensibility are signs of a bigger change in Martech. Vendors are no longer only selling software; they are now running platform economies. Value creation is spread out, innovation is spread out, and differentiation is done as a group rather than by one person.

In this paradigm, success is less about getting the next major feature out the door and more about creating the right conditions for other people to succeed. Platforms that accept this change become more resilient, relevant, and scalable than product-focused competitors. As Martech grows and changes, marketplaces will not just support platforms; they will also define them.

Platform Gravity: How Ecosystems Draw in Customers?

In the congested Martech world of today, success is no longer based on who ships the most features the fastest. “Platform gravity” is what pulls customers, partners, and developers toward a shared center of value.

This is what makes a company a market leader. Platform gravity is what makes some ecosystems become necessary hubs while others stay on the outside. To understand how modern Martech markets come together around a few major ecosystems, you need to know how this gravity works.

What “Platform Gravity” Looks Like in Practice?

Aggressive sales practices or locking people into contracts do not produce platform gravity. It happens when a platform is so important to daily tasks that trying to work around it seems like a waste of time or dangerous. This gravity in Martech occurs when marketing teams utilize one system for planning, doing, and measuring, even if they have a lot of other tools around it.

In reality, this means that campaigns are planned with the platform’s data model in mind, processes are constructed to work with its orchestration logic, and reporting uses its metrics as the only source of truth. As time goes on, the platform becomes the place to go for making decisions. People don’t judge new tools based on how good they are on their own; they judge them based on how well they fit into the ecosystem.

Why Customers Standardize Around Hubs, Not Edges?

Customers are having trouble keeping up with their Martech stacks as they get bigger and more complicated. Managing a lot of technologies that don’t work together causes problems, inconsistent data, and sluggish execution. To get back control, companies naturally standardize around hubs, which are platforms that bring together data, procedures, and rules.

Edges are single-purpose instruments that may be great at some tasks, but they need hubs to stay useful. Customers demand a single area where strategy is planned and performance is tracked. Hubs lower the expense of complexity by providing a stable core, and edges fill in the gaps where differentiation is needed. This hub-and-spoke approach makes platform gravity stronger, which over time pulls more activity into the core.

  • Data Centralization as a Gravitational Force

Data is one of the things that pulls things together the most in Martech ecosystems. When a platform becomes the main place for storing customer, campaign, and performance data, it has too much power. Teams trust it because it has historical context, normalized metrics, and visibility across channels.

Once data is stored in one place, downstream processes like segmentation, personalization, attribution, and forecasting readily connect to that platform. It’s hard to move away from anything, not just because of technological problems, but also because copying years of carefully selected data and insights is expensive and risky. This data gravity makes sure that the platform stays the core reference point, even as new tools are added to the stack.

  • Workflow Orchestration and Daily Dependence

Workflow orchestration makes the platform more powerful than just data. In Martech, tools that help teams plan, carry out, and improve their work become a part of everyday life. The same system handles campaign approvals, automation rules, and performance warnings.

This makes people dependent on it all the time. Teams organize their work around the platform’s logic, train new employees on how to use it, and make sure that their own procedures fit with it. The platform stops being just a tool and becomes the main part of how marketing is done over time. This daily dependency makes gravity stronger than long-term commitments ever could.

a) Case Pattern: The Platform as the Default Source of Information

In many high-gravity environments, the platform becomes the main place to get data. Other tools may create data, but the platform is where it is finally synced, standardized, and analyzed. All of the reports, dashboards, and executive updates use the same technology.

As this pattern becomes more common, other data sources seem less important or complete. Decision-makers like the platform because it gives them stability and trust. In Martech, where faith in numbers has a direct impact on budget and strategy, being the default data source gives you a big edge.

b) Case Pattern: Partners Make the Platform Work Better for Each Other

Platform gravity changes how partners act as well. As an ecosystem grows, partners put a higher priority on being able to work with the main platform. They make sure that everything works together smoothly by building connectors, certifying workflows, and aligning roadmaps.

This makes a loop that keeps going. The more partners work to make a platform better, the more appealing it is to customers who want options and freedom. The ecosystem, not the particular product, becomes the unit of value over time. In Martech, this trend speeds up the process of consolidating around platforms that do a good job of getting partners to work together.

c) Case Pattern: Ecosystem Lock-In Without Agreements

One of the best signs of platform gravity is that customers don’t want to leave, even when there are no rigid contracts. The cost of leaving is not money, but work. If you leave, you’ll have to retrain teams, change how things function, and lose the benefits of the ecosystem.

This kind of lock-in is natural and long-lasting. Customers stay because the ecosystem works, not because they have to. In modern Martech, this is the highest level of platform gravity: loyalty based on value built into the platform instead of a contract.

Platform Gravity: The New Way to Get Ahead

As the Martech markets grow, platform gravity becomes the most important competitive edge. The market naturally gravitates to ecosystems that centralize data, organize workflows, and bring partners together. Over time, gravity takes over as the main force behind leadership, changing the way success is built and kept in the sector.

What does this mean for MarTech startups?

The Martech world has reached a turning point where just adding a better feature isn’t enough to stay alive. Innovation cycles are getting shorter, AI has made advanced features more common, and buyers are buying ecosystems instead of just tools. For new businesses, this trend makes it much harder to compete, stand out, and grow in today’s Martech industries.

Why Making a Better Feature Is No Longer a Long-Term Strategy?

In the past, a startup could triumph in Martech by doing one thing really well. Today, platforms with a wider reach can swiftly copy, package, or nullify feature-level benefits. AI speeds up this process by making advanced features like personalization, analytics, and automation available to everyone.

Because of this, startups that only focus on having more features are running out of time to be useful. Customers might use the tool, but they don’t want to make it the standard until it fits well with the rest of their system. In this setting, people care less about “What does this tool do?” and more about “How well does it connect, extend, and add value across the stack?”

a) Strategic Choice #1: Become a Platform

One way for Martech startups to grow is to become a platform. This implies changing how you think about design from focusing on the product to focusing on the ecosystem. Platforms put APIs, extensibility, and developer enablement ahead of adding more and more features.

Becoming a platform takes a lot of money and careful planning. It needs to bring in partners, enable integrations, and set up governance frameworks that encourage third-party innovation. Not every firm should try this route, but for those with horizontal use cases, high data gravity, or workflow centrality, platform ambition can make them safe for a long time.

b) Strategic Choice #2: Be an Ecosystem Partner That Sets the Standard for Your Category

Becoming a category-defining ecosystem partner is a more feasible approach for most firms. In this model, the startup doesn’t strive to take the position of the hub; instead, it becomes an important part of it. The goal is to have a key skill that both platforms and customers depend on, while also being a key part of the most important ecosystems.

In Martech, successful ecosystem partners are not just interchangeable add-ons. They become a part of core workflows, add unique data or intelligence, and closely follow platform roadmaps. They stand out because of their depth, not their width. Startups can grow without owning the whole platform by being the “best possible version” of a certain service inside an ecosystem.

When to Integrate Deeply vs. When to Stay Independent?

How closely Martech firms should work with bigger platforms is a very important choice. Deep integration means speedier distribution, cheaper costs for getting new customers, and more stickiness. But it can also make people more dependent and less able to make their own decisions.

Startups can service more ecosystems and keep their options open if they stay more independent. The price is that growth will be slower and adoption will be harder. The correct mix depends on the startup’s main value. If being close to a platform’s data and workflows makes the product better, full integration makes sense. If the goal is to get knowledge or neutrality across platforms, staying independent may be the best long-term choice.

Using bigger ecosystems without being taken over

One of the major threats in modern Martech is being taken over by a bigger ecosystem, either technically or strategically. To avoid this, new businesses need to be very explicit about what they possess that no one else does. This could be unique data, specialist knowledge of a certain field, or results that are different from what other platforms can simply copy.

Smart firms make synergies that bring value while still keeping control. They keep ownership of fundamental logic and insights while making functionality available through APIs. They also put money on brand, thought leadership, and customer trust, which are all harder to turn into money than just features.

Changing the way we think about product-market fit to ecosystem-market fit

Product-market fit is no longer enough in a Martech world driven by ecosystems. Startups need to find ecosystem-market fit, which means making sure their product, the platforms they work with, and the market structure as a whole all work together.

This entails posing new questions, including “Which ecosystems make our value greater?” What part of the customer’s workflow do we fit into? How do we get bigger while the ecology gets bigger? Startups that address these concerns early might become important parts of growing networks instead of just tools that are stuck in one place.

The New Way to Stay Alive for MarTech Startups

It’s apparent what this means for Martech startups: they need to be strategically positioned within ecosystems to be successful, not just be smart on their own. Startups need to plan for connection, adding value, and staying relevant for a long time, whether they want to be a platform, a partner, or an expert.

In this new world, the best businesses aren’t the ones with the most features; they’re the ones who know how ecosystems work and how they may provide them an edge in the Martech industry.

What does this mean for MarTech Leadership?

As the field of marketing technology grows, the way Martech leaders work is changing. Digital executives, CMOs, and CTOs are no longer picking tools on their own; they are betting on the whole ecosystem.

This transition shows that people now understand that long-term marketing success depends less on how good each product is and more on how well technologies work together, grow, and add value to the whole company.

CMOs and CTOs Are Evaluating Ecosystems, Not Tools

In the past, people bought Martech based on checklists of features and the needs of their campaigns in the short term. These days, CMOs and CTOs look at whole ecosystems, including the partners, integrations, development communities, and data flows that affect how a tool works over time. The capacity of a platform to work well with CRM, data warehouses, analytics, content systems, and AI layers is often more important than any one feature.

This change also affects how people work together inside the company. Marketing and IT leaders are uniting earlier in the decision-making process, realizing that Martech choices have architectural ramifications. What seems like a marketing choice now could turn into a business data need tomorrow.

Buying Decisions Are Shifting From Features to Interoperability

Interoperability is now a key factor in Martech leadership talks about what to buy. Now, leaders want to know how easy it is for this platform to work with other systems. How dependable are its APIs? Can it work with future use cases that we haven’t thought of yet?

Feature depth is still important, but more and more people consider it as a given. Vendors are different from each other in that they can work together in complicated, changing stacks. Tools that need special fixes or create data silos cause problems that get worse with time. Because of this, leaders choose solutions that fit well into existing ecosystems and lower the costs of integration over time.

Platform Risk Is Now a New Type of MarTech Due Diligence

As ecosystems become more important, platform risk has become a new worry for Martech leaders. Platform risk involves relying on one vendor, being open to sudden changes in prices, API deprecations, or strategic alterations that could throw operations off balance.

Now, due diligence goes beyond product roadmaps to include the health of the ecosystem. Leaders look at the size and durability of partner networks, how open APIs are, and how well the vendor has helped third-party innovation in the past. Choosing Martech in this situation is just as much about managing risk as it is about improving performance.

Why MarTech Leadership Is Turning Into a Game of Platform Economics?

Modern martech leadership is more like platform economics than buying software the old-fashioned way. Leaders consider ecosystem leverage, switching costs, and network effects. A platform with significant gravity may lower the cost of getting new customers, speed up deployment, and uncover value that goes beyond its main features.

This way of thinking about the economy also affects how we budget. Investments are justified not only by direct ROI but also by the platform’s capacity to accommodate various teams, use cases, and forthcoming initiatives. Leaders tend to choose platforms that operate as multipliers over time. These are the ones that make each new tool, dataset, or workflow more useful.

The Growing Importance of Ecosystem Strategy in Choosing Vendors

Ecosystem planning is now a key part of Martech leadership. When choosing a vendor, you need to know where they fit into the larger market, what partners they attract, and how they want to grow their ecosystem.

More and more, leaders ask vendors about their ideas for integrating products, their vision for the marketplace, and how they plan to work together to come up with new ideas. People who can clearly explain their ecosystem approach are more trustworthy than those who only talk about product features. In a lot of cases, the choice boils down to which ecosystem leaders want to be a part of for the next five to 10 years.

Leadership in an Ecosystem-Driven MarTech Era

In the end, Martech leadership is about being able to see the future and deal with complicated situations. As ecosystems take the role of tools as the unit of value, executives need to think about the whole picture and find a balance between interoperability, risk, and long-term economic benefit. In this new era, the best executives don’t just buy technology; they also design ecosystems that shape how Martech helps the whole company grow and stay strong over time.

Conclusion: The Moat Is No Longer the Product

For most of the last ten years, the main focus of Martech has been on making great products. Vendors fought over features, usability, and performance, and customers rewarded those who could show that their product was clearly better at doing its job. That reality has profoundly shifted. Strong products are still important, but they aren’t enough to keep a competitive edge anymore. Feature parity comes faster than ever, and new ideas that used to take years to copy can now be reproduced in months or even weeks. In this setting, the quality of the product is now the baseline, not the moat.

Ecosystem depth is now what decides who will survive in the long run and who will dominate the industry in Martech. Ecosystems add value over time that single products can’t. Platforms are tougher to replace when they are surrounded by strong integration networks, active partners, developers, and services that function well with them. People don’t just buy a tool; they buy into an operating environment that helps them execute their business, manage their data, and expand in the future. Leaving an ecosystem like this is expensive, not because of contracts, but because of lost connections and built-in value.

Three forces that are all connected will decide the future of the Martech competition. The first is how dense the integration is. Platforms that link deeply across marketing, sales, data, and analytics platforms become more than just tools; they become essential hubs. Every integration makes it harder to transfer platforms and makes the platform more useful. The second is getting partners involved. A strong partner ecosystem speeds up innovation more than any one vendor can do on its own. Agencies, technology partners, and developers add features, adapt solutions to different markets, and come up with new ways to use them that keep the ecosystem flexible and strong.

Data gravity is the third force. As data builds up and moves through a platform, it naturally draws in more apps, workflows, and people who are interested in it. As time goes on, the platform becomes the default mechanism for keeping records and coordinating things. This gravity makes it harder and harder for competitors to steal customers, even if they provide better stand-alone products. In Martech, data gravity is typically stronger than brand or price benefits.

These forces, when used together, change how we judge success. The best players aren’t always the ones with the best features; they’re the ones that let other people construct, interact, and come up with new ideas. This change is what makes ecosystems persist longer than point solutions and why platform-centric methods are the most popular when the market is consolidating and budgets are tight.

The main point of the thesis is clear: in Martech, the people who make the greatest individual tools will not win; the people who construct the most linked, deepest ecosystems will. As competition gets tougher and innovation cycles get shorter, ecosystem strategy—not just product differentiation—will decide who wins, who lives, and who goes away.

iMini AI Integrates Kling 2.5 Turbo and Wan 2.6 for Next-Gen AI Video Creation

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TwelveLabs Launches Pegasus 1.5, Turning Raw Video Into Structured, Queryable Data at Scale

iMini AI Expands Global AI Video Creation Capabilities with Kling 2.5 Turbo and Wan 2.6 Integration.

iMini AI, the leading all-in-one AI content creation platform,announced the strategic integration of two industry-leading video generation large models: Kling 2.5 Turbo and Wan 2.6. This milestone reinforces iMini AI’s position as a global pioneer in AI-powered video content creation, multimodal intelligence, and creative automation. With this upgrade, iMini AI continues to empower creators worldwide with professional-grade, end-to-end AI creative solutions.

iMini AI Boosts Video Generation with Kling 2.5 Turbo and Wan 2.6
iMini AI now integrates Kling 2.5 Turbo, renowned for dynamic visual coherence, advanced prompt understanding, and cost-efficient performance. By combining iMini AI’s intelligent orchestration with Kling 2.5 Turbo, creators can produce content ranging from social media shorts to high-quality brand advertising videos effortlessly.

Simultaneously, iMini AI leverages Wan 2.6 to deliver high-fidelity text-to-video, image-to-video, and reference video creation, all with synchronized audio and lifelike speech. iMini AI’s platform ensures that creators can generate cinematic-quality storytelling that closely mirrors live-action production, enhancing engagement and visual realism.

Through this dual integration, iMini AI enables creators to produce multi-scene narratives, complex animations, and synchronized audiovisual content, transforming creative ideas into polished videos—all within a single iMini AI interface.

iMini AI’s Global Creative Ecosystem
iMini AI employs a “Super Aggregation Agent” architecture to unify top global models into a seamless workflow. iMini AI intelligently interprets creators’ intentions and dynamically orchestrates optimal model combinations, ensuring smooth execution from initial concept to final production.

With over 50 advanced models integrated, iMini AI delivers comprehensive capabilities across text, image, video, and audio domains. The addition of Kling 2.5 Turbo and Wan 2.6 further enhances iMini AI’s video content creation ecosystem, providing creators with cinematic-level video generation, realistic motion, and synchronized audio—all within a single iMini AI platform.

Marketing Technology News: Martech Interview with Aquibur Rahman, CEO of Mailmodo

iMini AI Enhances Creator Productivity
iMini AI empowers creators across industries:
·Faster Production: iMini AI’s intelligent orchestration reduces dependency on manual editing and complex prompt engineering.
·Professional-Grade Video Quality: Kling 2.5 Turbo and Wan 2.6 integration ensures consistent visual coherence, natural motion, and precise audio synchronization within iMini AI.
·Multi-Scenario Applications: iMini AI supports social media shorts, marketing campaigns, product demos, e-commerce content, and narrative storytelling.
·Rapid Iteration: Creators can test multiple styles, scenes, and narratives quickly using iMini AI.
·Global Reach: Multi-language and cross-cultural content creation is fully supported through iMini AI.

iMini AI Sets Industry Standards
iMini AI establishes benchmarks in AI video creation:
·Cross-Modal Integration: iMini AI merges text, image, audio, and video generation into a unified workflow.
·Dynamic Model Orchestration: iMini AI automatically selects the optimal model for each task.
·Scalable Creative Solutions: iMini AI supports individual creators and enterprise teams alike.
·Collaborative Ecosystem: iMini AI encourages sharing of creative outputs, workflows, and best practices.
·Accessible Professional Tools: iMini AI lowers technical barriers, enabling creators of all levels to produce cinematic-quality videos.

iMini AI in Real-World Applications
·Social Media & Short-Form Content: iMini AI enables TikTok, YouTube Shorts, and Instagram Reels with professional motion and effects.
·Brand Marketing & Advertising: iMini AI helps create high-quality ad videos with cinematic visuals and audio.
·E-commerce Product Demos: iMini AI supports dynamic product visuals and promotional content generation.
·Digital Storytelling & Education: iMini AI produces narrative videos, tutorials, and explainer content with audio-visual integration.

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Optimove Launches Its New Email Marketing Solution, Significantly Enhancing Marketers’ Creative Power

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Optimove Launches Its New Email Marketing Solution, Significantly Enhancing Marketers' Creative Power

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Optimove’s next evolution of email marks a new era of email personalization at scale for Positionless Marketers. Enhanced capabilities combine industry-leading AI agents with state-of-the-art data foundations

Optimove, the creator of Positionless Marketing, announced the next evolution of its Email Marketing Solution, significantly enhancing the creative power offered by its platform to marketers. Optimove’s new email capabilities build on its recognition in The Forrester Wave™: Email Marketing Service Providers, Q3 2024, where it earned top scores for Personalization, Process and Workflow Innovation, Email Value, and Organizational Improvement.

Optimove’s 2025 Consumer Marketing Fatigue research revealed that email remains the top channel for customer engagement when marketers prioritize relevance and personalization. However, traditional email service providers (ESPs) are often siloed, lacking the data foundation necessary to achieve true personalization, which causes a delay in time-to-market as marketers rely on external teams and agencies. For teams looking to execute at speed and with dynamic data, legacy solutions are no longer enough.

Marketing Technology News: Martech Interview with Aquibur Rahman, CEO of Mailmodo

Optimove’s enhanced Email Marketing Solution combines industry-leading AI agents with a state-of-the-art data foundation to deliver more personalized, dynamic, and scalable messages to customers. Marketing teams are already realizing tangible benefits. The Email Marketing Solution has:

  • Doubled the average sales per customer via AI-led real-time email personalization, when measured against a control group
  • Removed dependency on external agencies for email program execution, accelerating creation and launch of email messages to less than one week
  • Consolidated seven emails into a single template, significantly reducing the overhead needed to manage multi-language campaigns

“Optimove’s enhanced Email Marketing Solution is a power tool for email marketers worldwide,” said Shai Frank, SVP Product and GM Americas at Optimove. “By combining industry-leading AI, a strong data foundation, and a UI designed to remove manual overhead, marketers can replace hours of testing and QA over dozens of static templates with a single dynamic one. The result is unlocking true personalization at scale across broadcast and triggered email programs.”

New native email marketing enhancements include:

  • Flexible Data Ingestion – Open data structure that lets marketers connect to any external data source and automatically updates all templates when changes occur without needing to perform changes manually
  • AI Content Recommendation Agents – One-to-one content and offer recommendations served by AI agents based on real-time customer behavior and robust historical context
  • Real-Time, Universally Triggered Emails – State-of-the-art event management engine that automatically triggers out-of-the-box or custom emails based on external events such as game scores, inventory, and price changes, delivering perfectly timed messages that anticipate customer needs
  • Kinetic Email Widgets – Interactive components that transform static emails into dynamic experiences, including countdowns, progress indicators, live content blocks, and more, all updated in real-time
  • Industry Standard Personalization Syntax – A simplified, consistent syntax built on Liquid to empower marketers to insert data, apply logic, and structure dynamic content, at scale

Optimove’s Email Marketing Solution enhancements come on the heels of another record setting holiday season where it powered its clients to year-over-year growth of +155% email messages, +166% SMS campaigns, and +400% mobile interactions.

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transcosmos launches AI training and annotation services leveraging talent across Japan and ASEAN

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transcosmos launches AI training and annotation services leveraging talent across Japan and ASEAN

With a Human-in-the-Loop model built on employees, gig workers, and technologies, transcosmos delivers specialized AI data annotation services in Chinese, Japanese, and Korean

transcosmos announced the release of highly specialized AI training and data annotation services in Chinese, Japanese, and Korean languages. The service covers both specialized and company-specific data, regardless of volume size. Specialized areas include geography, history, finance, and engineering.

Until now, most AI data annotation—operations that label and tag image, voice, and text data for AI training—has focused on general data in English. With global AI demand rising, market needs are shifting toward multilingual, highly specialized data annotation services.

Marketing Technology News: MarTech Interview with Haley Trost, Group Product Marketing Manager @ Braze

Leveraging its talent pool across Japan and ASEAN countries, transcosmos offers annotation services powered by professionals with deep expertise in CX domains such as contact centers, digital marketing, and system development. The service supports Chinese, Japanese, and Korean languages, covering markets with exceptionally high demands. Building on its network of talented employees and gig workers, specialists perform tasks including: data collection from documents and image sources in highly specialized fields; image, voice, and sentence labeling; emotion analysis; data extraction from contracts; and dialogue scenario creation and data generation.

Additionally, industry-experienced professionals annotate client-specific data—covering services, products, and customer inquiries—helping clients develop their own large language models (LLMs).

Marketing Technology News: Cross-Department Collaboration with Marketing Workflow Automation: Enhancing Alignment Between Sales, Customer Service, and Marketing Teams

To ensure seamless operations and smooth and effective talent assignment, transcosmos is developing a resource management system that centrally stores information on utilization rate, areas of expertise, certifications, qualifications, and work history. transcosmos plans to register approximately 40,000 individuals, primarily employees. This system will enable managers to assign the right people to the right projects based on requirements, timelines, and skill sets.

Building on expertise and know-how gained through performing data collection and AI data annotation projects at transcosmos AI Lab, transcosmos will expand data annotation into more specialized areas and increase supported languages, leveraging its global network beyond ASEAN.

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Mynd.ai Advances Platform Expansion and Ecosystem Monetization Strategy Through Planned Collaboration with Q101 Foundation

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Mynd.ai Advances Platform Expansion and Ecosystem Monetization Strategy Through Planned Collaboration with Q101 Foundation

Mynd.ai, Inc. IR Overview

Mynd.ai, Inc., a global leader in interactive classroom technology, announced that through its subsidiary, Promethean, is working with the Q101 Foundation toward finalizing a strategic Memorandum of Understanding (“MOU”) that is expected to support Mynd’s next phase of platform expansion, product diversification, and long-term ecosystem monetization.

The proposed collaboration is centered on the Open Quest Academy (“Open-Q”) educational ecosystem- an AI-driven, globally co-created and shared learning platform and content marketplace designed to enable educators and learners to create, distribute, and engage with educational content at scale. Subject to the execution of definitive agreements, Mynd.ai is expected to serve as the Foundation’s exclusive operating partner in North America.

Marketing Technology News: What is a Full Stack Marketer; What MarTech Matters Most to Full Stack Marketers?

Through this anticipated partnership, Mynd.ai intends to leverage Promethean’s extensive install base to introduce a content-enabled platform layer that extends beyond hardware and software. “This planned collaboration aligns directly with Mynd.ai’s strategic evolution toward a more diversified, platform-oriented business model,” said Lance Solomon, Mynd’s Chief Product Officer. “By integrating a scalable platform with an educational content marketplace into our existing technology footprint, we see a path to deepen customer engagement, increase lifetime value, and create multiple monetization pathways that complement our core hardware and software offerings.”

Management believes that expanding into content marketplaces and ecosystem-based platforms represents a natural extension of Mynd.ai’s strategy to capitalize on its scale, brand presence, and channel relationships. Over time, this approach is expected to enhance recurring revenue potential, improve revenue visibility, and strengthen the Company’s competitive positioning within the global education technology landscape.

Marketing Technology News: MarTech Interview with Lee McCance, Chief Product Officer @ Adverity

While discussions remain ongoing and subject to final agreements, Mynd.ai views the potential collaboration with the Q101 Foundation as an important step toward building a more resilient, diversified growth profile and delivering sustainable long-term shareholder value.

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Consult PR Shares Updates on AI Pay-Per-Click Challenges With Niche Keywords Categories

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Consult PR Inc., released an update from its ongoing AI series addressing how AI-enhanced pay-per-click programs perform when applied to niche keywords and specialized service categories. The firm shared strong results from AI-enhanced PPC programs across a majority of clients. That said, this update focuses on a smaller percentage of clients who have not seen the same outcomes and explains the reasons behind those differences.

According to the firm, AI-enhanced PPC programs are typically structured around broader keyword matching and conversational search trends rather than the tightly narrowed, industry-specific keyword structures used in legacy pay-per-click programs. For clients operating in very specialized service categories, this broader starting point can require weeks or, in some cases, months of training and refinement of the AI programs to reach performance levels similar to established legacy campaigns. During this learning phase, broader targeting can dilute results, particularly for clients working with smaller budgets.

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

To address this, Consult PR has implemented a hybrid strategy. Clients with detailed and niche legacy PPC programs continue running those programs with the majority of their budget. At the same time, a smaller portion of the budget is allocated to AI-enhanced PPC campaigns (that begin with broader matching). This allows the AI systems to train gradually over time. As the AI learns (with the right feedback) the niche aspects of a client’s service category, budgets and targeting can be assessed and tweaked accordingly. As of the release of this update, the firm notes that this refinement cycle is still in progress, and AI programs have not yet consistently surpassed legacy programs for niche keyword categories.

“AI-enhanced pay-per-click programs are producing strong results for many clients, but we are seeing that niche keywords and service categories require more time for training and refinement. These programs often start broader than legacy campaigns, which can impact performance early on. Our hybrid approach allows clients to continue running proven programs while giving AI the opportunity to learn. This is not meant to be an all-encompassing finding or a criticism of the AI efforts of the advertising platforms. In fact, we are excited about where this is heading. These are simply our findings to date, and we hope others in the industry share their experiences so we can learn from one another.” — Paul Ramkissoon, Chief Executive Officer (CEO), The Digital WOW, powered by ConsultPR.net

Marketing Technology News: Is the Traditional CDP Already Out of Date?

The firm added that participation in AI-enhanced PPC programs remains important due to expanded reach across Google properties, including search, display, video, Gmail, and Discover. Eventually, when AI-driven programs reach parity with legacy campaigns, at minimum, the additional delivery modes represent added value and increased exposure opportunities. Consult PR will continue to monitor PPC campaign performance and expects further improvement and updates as the “move to AI” journey progresses.

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MindMap AI Introduces Chat-Driven Mind Mapping to Turn Complex Content Into Clear Visuals

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MindMap AI Introduces Chat-Driven Mind Mapping to Turn Complex Content Into Clear Visuals

MindMap AI Logo

MindMap AI, a chat-based mind mapping platform, announces a year-end offer: 50% off annual plans and 30,000 bonus AI credits.

As year end exams, reporting deadlines, and planning cycles accelerate, individuals and teams are increasingly overwhelmed by unstructured information spread across documents, media, and notes. MindMap AI, an AI-powered mind mapping platform, helps users turn content from text, PDFs, videos, audio, and images into clear, editable visual maps in minutes making complex information easier to understand, organize, and refine.

Unlike traditional mind mapping tools that rely heavily on manual editing or static AI generation, MindMap AI introduces a chat-driven workflow that allows users to interact directly with their mind maps. Through natural language prompts, users can expand ideas, summarize sections, reorganize branches, and adjust structure conversationally. Changes are applied intelligently to the map itself, enabling users to refine thinking visually without rebuilding layouts from scratch.

Marketing Technology News: Martech Interview with Aquibur Rahman, CEO of Mailmodo

This approach is designed for students, educators, professionals, and creators who need to move from raw information to structured understanding quickly. From exam preparation and research synthesis to meeting notes and content planning, MindMap AI serves as a visual sense-making tool rather than a static diagram editor.

In 2025, MindMap AI released Version 2 of its platform, introducing several major upgrades. The update added AI Thinking Mode, which uses step-by-step reasoning to better understand context and relationships before generating or modifying a mind map. Version 2 also introduced stable, incremental AI updates that preserve users’ manual edits while expanding maps over time addressing a common frustration with AI tools that overwrite existing work. Additional improvements include a rebuilt AI Copilot Chat, expanded themes, new chart types, and practical organization widgets that support deeper exploration and clearer presentation of ideas.

To mark the year-end season, MindMap AI is offering a limited-time promotion on its annual subscriptions. Users who subscribe to the annual Pro plan will receive 30,000 bonus AI credits, while all annual plans are available at a 50% discount. The promotion runs from December 24, 2025 through December 31, 2025. Full details and plan comparisons are available on the MindMap AI pricing page.

The offer is designed to give new users a low-risk way to experience AI-powered visual thinking as they plan goals, projects, and learning for the year ahead.
Looking ahead to 2026, MindMap AI plans to introduce advanced LaTeX support and team-focused planning features, further expanding its capabilities for academic, professional, and collaborative use cases. The company aims to continue building a smarter, faster, and more reliable AI-powered workspace for visual thinking.

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iMini AI Launches Precise Edit for AI Image Generator Precision

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iMini AI | AI Image Generator & AI Video Creation Platform

With Precise Edit, iMini AI empowers anyone to refine AI-generated images visually—no complex prompts, no technical skills, and no trial-and-error.

iMini AI, the all-in-one AI creation platform, announced the launch of Precise Edit, a major advancement in AI Image Generator technology. This new feature enables users of all levels to make precise edits to AI-generated images by combining visual selection with natural-language instructions.

iMini AI Precise Edit is designed for everyone—from beginners to hobbyists—making high-quality image refinement intuitive, fast, and accessible. The core philosophy behind this launch is simple: “AI image generation and AI precision editing, everyone can easily create great images.”

Marketing Technology News: Martech Interview with Aquibur Rahman, CEO of Mailmodo

Why Simplified AI Image Editing Matters
As AI-generated images become part of everyday creativity, users demand more than automatic generation. Many traditional AI Image Generators require complex prompts and repeated trial-and-error, frustrating beginners.

iMini AI solved this by allowing direct visual editing, so users can select areas and make changes without worrying about affecting the whole image. This design ensures anyone can enjoy professional-looking results without prior experience.

Common Challenges Solved by iMini AI Precise Edit
Even with advanced models, most AI Image Generators rely on global prompts, causing issues like:
·Minor mistakes forcing full regeneration
·Editing one area accidentally changing others
·Same prompts producing inconsistent results
·Increased time and costs from repeated trials

iMini AI Precise Edit solves these problems with an intuitive, visual-first approach, delivering predictable results for everyone, from first-time users to hobbyists.

How iMini AI Precise Edit Works
Precise Edit introduces a new workflow for AI Image Generator outputs:
·Select a Region: Choose the exact area to modify.
·Provide Instructions: Describe the change in simple words.
·AI Applies Changes: iMini AI edits only the selected region, keeping the rest intact.
By combining region-based selection with semantic understanding, iMini AI ensures precise, consistent, high-quality results without requiring complex prompts.

From Guesswork to Intentional Editing
Traditional AI workflows often involve trial-and-error. iMini AI Precise Edit eliminates this guesswork:
·Users directly indicate which parts to change
·Edits are localized and predictable
·Even first-time users can produce polished images quickly

This approach transforms AI image generation from probabilistic experimentation into intentional control, reflecting the principle: AI image generation and AI precision editing, everyone can easily create great images.

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How AI is Making Marketers More Human

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How AI is Making Marketers More Human

Efficiency doesn’t build brand love. While much of the touted benefit of AI’s growing presence in marketing has been around increasing efficiency and productivity, marketers know that this alone will get them nowhere fast. Good marketing is about building meaningful connections on a personal level.

To bridge the gap between efficiency and emotional impact, marketers are turning to evidence-based creativity – the skill of marrying creativity with data to drive meaningful connections. Combining human creativity with AI-driven insights is now essential to producing, testing, and scaling ideas with measurable impact. The goal isn’t to turn every marketer into a data scientist, but to create teams where everyone can ask the right questions of their data and act on what they find.

Here are three ways marketers can effectively fuse AI-driven insights with human creativity to tell stories that resonate:

Human Connections at Machine Speed

AI is a powerful tool that can free marketers up to focus on the human side of the discipline, such as understanding customer needs, crafting emotionally engaging messaging and experimenting creatively. More than half of marketers say AI has already accelerated content creation, while 44% point to improved campaign planning and forecasting, and 42% cite the ability to deliver more personalized experiences.

But with this efficiency comes the risk of losing authenticity with audiences. AI can summarize reviews and draft case studies, but it can’t capture the vulnerability of a founder’s journey or the emotional connection of a customer through a recession. The best brand storytelling taps into culture, lived experiences, memory and meaning to create moments of real connection. AI tools can scale that kind of storytelling so that it feels personal and authentic to each customer.

For example, footwear and apparel brand On taps into real-life experiences of everyday runners and professional athletes, turning customer journeys into powerful storytelling. The brand documents the emotional highs and lows of running through the lens of real people and uses AI to amplify content distribution efforts across its website, social channels and app. By taking inspiring stories and amplifying them across owned content and marketing channels, On is able to quickly produce, scale and amplify inspiring content and turn customers into lifelong brand advocates.

Amplify Your Brand Voice, Don’t Dilute It

Generative Engine Optimization (GEO) has reshaped how people discover content and interact with brands, a trend that is about to accelerate in light of Walmart’s partnership with OpenAI to enable shopping through ChatGPT. Gaining and holding customer trust will require a greater focus on high-quality, consistent and emotionally resonant content that people feel and AI algorithms understand.

Overnight, GEO has upended outdated content practices of using generic and product-focused messaging and pushed brands to clearly define their differentiators, hone in on emotional storytelling and distribute it consistently across authoritative channels such as news outlets, company blogs and social media. AI can create this content in seconds, but brilliant marketers don’t just use AI to produce more content. They see it as a catalyst to make more informed decisions, move ideas from concept to market faster, and amplify rather than replace their own human creativity. Marketers’ ability to translate between machine and human will help brands appear more frequently – and more accurately and authentically – in generative AI results.

Marketing Technology News: Martech Interview with Aquibur Rahman, CEO of Mailmodo

The Marketing Skills That Matter Most Today

All of this paves the way for a new generation of marketers to emerge. These “full-stack marketers” blend creativity, strategy, and technical fluency to thrive in an AI-powered era. They’re reliant on AI-enabled workflows, skilled at writing effective prompts, and adept at weaving new technologies into daily operations. Nearly half of marketers now use both AI copilots in productivity software (49%) and generative tools for content creation (48%), underscoring how quickly these tools are reshaping the craft.

But what truly defines this new generation isn’t just their technical skills, it’s their mindset. Curiosity, empathy, and adaptability have become the soft-skill superpowers that separate good marketers from great ones. These qualities allow marketers to ask sharper questions, uncover deeper insights, and create work that resonates on a human level. In an era where anyone can access the same tools, it’s these distinctly human instincts that will determine who stands out.

The Path Forward

AI isn’t a threat to creativity but rather a catalyst. Nearly half of marketing teams point to AI-powered content tools as enablers of better campaigns, but they also emphasize the importance of clear processes, strong executive support, and cross-team alignment. In this new era of marketing, it’s important for marketers to embrace AI, not only to reduce repetitive tasks but also to enhance the human aspects of marketing, spend more time on creative brainstorming, and develop new ways to connect with audiences.

As a CMO, I believe creativity is intrinsically human-driven and creative thinking and individuality can’t be outsourced to AI. I’m also aware of the realities of today’s marketing environment, where speed and scale of personalization have become true differentiators. To keep up with the pace of innovation, marketers need to find a balance between fostering human creativity and using AI workflows to enhance that work.

Sorba.ai Partners With Appomax As Channel Partner For Thailand Industrial Ai

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Partnership expands no-code industrial AI across Thailand with predictive maintenance, advanced process control, vision AI, and seamless Ignition integration

SORBA.ai, the leading no-code industrial AI platform for manufacturing, energy, and critical infrastructure, announced a new channel partner with Appomax (www.appomax.co), a Thailand-based industrial AI and advanced analytics solutions provider. Through this partnership, Appomax will serve as an authorized channel partner for SORBA.ai, delivering next-generation industrial AI solutions to organizations across the Thailand marketplace.

This partnership enables manufacturers, utilities, energy producers, and industrial operators in Thailand to rapidly deploy SORBA.ai’s no-code/low-code AI platform, without requiring data science expertise, supported by Appomax’s local presence, domain expertise, and regional delivery capabilities.

Marketing Technology News: Martech Interview with Aquibur Rahman, CEO of Mailmodo

Expanded Offering for the Thailand Market

As part of the partnership, Appomax will offer the full SORBA.ai product portfolio, all seamlessly connected through SORBA.ai’s free Inductive Automation Ignition integration, enabling fast, secure access to real-time industrial data from the plant floor to the AI layer. The combined offering includes:

DataBridge – Securely connects and contextualizes data from PLCs, SCADA systems, historians, IoT platforms, and enterprise systems, creating a reliable foundation for industrial AI and analytics and forming your Unified Name Space (UNS).

Detect & Predict PdM Suite – Delivers real-time anomaly detection and predictive maintenance models to identify early warning signs of equipment degradation, reduce unplanned downtime, and improve asset reliability.

Simulate & Control APC Suite – Extends AI into advanced process control with digital twins, forecasting, optimization, and closed-loop recommendations to improve throughput, quality, energy efficiency, and operational stability.

VisionAI Module – Applies computer vision and AI to industrial images and video streams for automated inspection, defect detection, safety monitoring, and operational verification.

“Southeast Asia, and Thailand in particular, is a fast-growing market for industrial digital transformation,” said Yandy Perez, President & CEO of SORBA.ai. “Partnering with Appomax allows us to scale our platform through a trusted local expert who understands the operational and data requirements of industrial facilities in the region. With Appomax being a certified Inductive Automation partner, customers can move from data to AI-driven outcomes faster than ever combined with our free Inductive Automation integration.”

“Industrial companies in Thailand are seeking practical, secure AI solutions that deliver measurable operational impact,” said Vikan Chirawatpongsa, Chief Executive Officer of Appomax. “By partnering with SORBA.ai, we can provide a complete end-to-end Industrial AI stack that empowers engineers, operators, and process experts to deploy AI in minutes instead of months. With Appomax’s deep expertise in OT, MES, Unified Namespace, and industrial data architecture—combined with SORBA.ai’s no-code platform—we can help organizations accelerate their digital transformation and achieve real, sustainable results.”

Together, SORBA.ai and Appomax are committed to accelerating industrial AI adoption across Thailand, helping customers improve reliability, efficiency, safety, and sustainability using their existing infrastructure and operational expertise.

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