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GBT Technologies Announces Formation of Cube X Media to Launch National Digital Media and Content Platform

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GBT Technologies Announces Formation of Cube X Media to Launch National Digital Media and Content Platform

gbtlogo.jpg

New subsidiary to Drive Advertising, Branded Content, and Original Media across its Network

GBT Technologies, Inc., a technology developer specializing in artificial intelligence (AI), Internet of Things (IoT), and intelligent platform technologies, announced the formation of Cube X Media Corporation, a wholly-owned subsidiary focused on content creation, digital advertising, and media distribution across its network of interactive machines.

Cube X Media will serve as the Company’s dedicated media division, to produce targeted advertising campaigns, vertical content series, and original short-form and cinematic media created specifically for delivering high-impact content to target audiences.

“Cube X Media marks a pivotal step in our evolution as a company,” said Patrick Bertagna, GBT Technologies’ Chief Executive Officer. “We expect to unlock the full potential of our platform by combining physical timely access to essential products with a powerful digital media ecosystem.”

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Cube X Media will operate as a vertically integrated content engine, enabling brands, institutions, and sponsors to engage directly with consumers through high-visibility, data-driven placements.

The launch of Cube X Media represents a notable expansion of the Company’s business model, augmenting its physical “smart machines” infrastructure into a scalable digital media network.

Core offerings are to include:

  • Programmatic and direct advertising placements across Cube Wellness machine displays
  • Branded content delivery into targeted markets
  • Specialized content creation for corporate and institutional partners

Cube X Media is expected to leverage the Company’s digital advertising infrastructure technology ecosystem to deliver measurable and targeted content experiences.

The platform will offer advertisers:

  • Real-time audience engagement tracking
  • Precision ad targeting, demographic, and usage behavior
  • Closed-loop attribution between content exposure and consumer action

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Patrick continued: “This integration positions the Company as both a physical product distribution network, and a digital media platform, to create a diversified and scalable monetization model, to drive long-term enterprise value.”

With active machine deployments across multiple locations and a growing footprint, the launch of Cube X Media reinforces the Company’s transition into a multi-vertical platform.

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Clapper App Introduces Native AI Video Generation Tool

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Munch Studio Launches AI Video Editing Suite That Turns Long-Form Video Into Social Media Content in Minutes

What is Clapper App? -

New in-app tool lets users generate AI videos from scratch or from a photo – no third-party apps required

Clapper, the creator-first short-form video and livestream platform, announced the launch of its native AI video generation tool, giving creators the ability to produce AI-generated video content entirely within the Clapper app.

The new feature enables users to generate high-quality videos of four, six, or eight seconds in length, either from a text-based concept or by using an existing photo as a starting point. Creators can transport themselves into new settings, environments, and scenarios without relying on external editing tools or production resources.

The launch marks Clapper’s latest step in building a comprehensive, all-in-one creator platform. In recent months, the company introduced built-in editing tools, giving users the ability to trim, crop, adjust speed, and add text without leaving the app.

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The platform also recently launched Clapper Clubs, interest-based community spaces where creators and users can connect around shared passions. AI video generation is the newest addition to a suite that continues to grow.

The momentum behind these launches reflects a broader surge in platform growth. Clapper previously rose to #3 on the App Store during a period of heightened demand from creators seeking a stable, transparent social media platform. The app has continued expanding its feature set and global footprint since, and is now available in more than 80 countries.

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Every Clapper user receives two complimentary video generations at launch to explore the feature. The rollout is part of the company’s ongoing investment in an AI-powered, creator-centric ecosystem built around authentic storytelling and community-first values.

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AI Consulting Services Launched to Help NZ and Australian Businesses Automate Digital Marketing

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AI Consulting Services Launched to Help NZ and Australian Businesses Automate Digital Marketing

Clickthrough Digital

Clickthrough introduces AI consulting and AI consultancy services to help businesses automate digital marketing systems and stay competitive in the AI era.

After 17 years of delivering digital marketing services and training across New Zealand and Australia, Clickthrough has launched a dedicated AI consulting and AI consultancy service designed to help businesses automate and scale their digital marketing systems using artificial intelligence.

In our experience, businesses don’t have an AI problem—they have a strategy problem. AI works best when it’s embedded into systems, not used as a standalone tool.”

— Glen Maguire

In our experience, most businesses are already experimenting with AI—but very few are using it strategically. The result? Disconnected tools, wasted spend, and teams working harder instead of smarter.

This new AI consulting service is built to fix that.

Clickthrough’s approach focuses on helping businesses integrate AI into their existing digital marketing systems—automating repetitive tasks, improving campaign performance, and creating scalable growth engines across channels like SEO, Google Ads, and content marketing.

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

According to Clickthrough, the shift to AI-driven marketing is no longer optional.

“Businesses using traditional digital marketing alone are already falling behind,” says the team at Clickthrough. “Search, content, and customer engagement are being reshaped by AI. Companies that don’t adapt risk becoming invisible.”

This aligns with broader industry shifts, where AI is transforming search behaviour from keyword-based ranking to intent-driven, conversational discovery . In practical terms, that means businesses need smarter systems—not just more content or ads.

Why AI Consulting Matters Now

In our opinion, there are three clear problems holding businesses back:
– Too many tools, no strategy
– Teams are adopting AI tools randomly, leading to inefficiencies and rising costs.
– Manual marketing processes still dominate
– Campaign setup, reporting, and content creation are still heavily manual in most organisations.
– Search and visibility are changing fast
– AI-driven search is prioritising usefulness, context, and authority over traditional SEO tactics.

Marketing Technology News: Disrupt or Be Disrupted: The AI Wake-Up Call for B2B Marketers

Clickthrough’s AI consultancy is designed to address these challenges head-on by creating structured, scalable systems rather than one-off experiments.

What the AI Consultancy Service Delivers

The AI consulting service focuses on practical implementation, not theory. Key areas include:
– Automating Google Ads and campaign optimisation
– AI-powered SEO and content strategies
– Marketing workflow automation across teams
– AI tool selection and consolidation
– Training teams to use AI effectively in day-to-day roles

In our experience, the biggest wins come from combining AI with existing marketing systems—not replacing them. Businesses don’t need to start again—they need to upgrade how they operate.

A Focus on New Zealand and Australia

The service is tailored specifically for businesses operating in New Zealand and Australia, where many organisations are still early in their AI adoption journey.

Clickthrough believes this creates a significant opportunity.

“Right now, there’s a window where businesses can get ahead,” the company says. “Those who implement AI properly will build a long-term competitive advantage. Those who don’t will spend the next few years trying to catch up.”

This reflects a broader shift in digital marketing, where AI-driven strategies are moving from experimental to essential for sustained growth and visibility.

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TFSF Ventures Publishes Open-Source Dashboard and Video From Live 90-Day AI Agent Deployment

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TFSF Ventures Publishes Open-Source Dashboard and Video From Live 90-Day AI Agent Deployment

TFSF Ventures FZ-LLC (RAKEZ License 47013955), a venture architecture firm that deploys intelligent agent infrastructure across 21 verticals, has published a complete showcase package from a live autonomous agent deployment — including a public GitHub repository containing the full source code, a product walkthrough video, and a fully operational client dashboard — in what the firm describes as the first time a production AI agent deployment has been made publicly inspectable while operating under full client confidentiality.

The showcase is drawn from a mid-size law firm that has been running 15 autonomous agents across its daily operations for 90 consecutive days. The deployment handles client intake screening and lead scoring, court e-filing with automated confirmation tracking, time entry processing with rate review flagging, medical record OCR capable of extracting dates, diagnoses, and treatment plans from documents exceeding 40 pages, trust account reconciliation against live bank feeds, conflict of interest checking across more than 4,200 active matters, calendar management with deposition scheduling and conflict resolution, billing verification against engagement letter terms, document classification and indexing, and regulatory compliance monitoring with automated deadline escalation. The system processes over 970 tasks per day with 99.97 percent uptime.

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

The law firm authorized this release under the TFSF Ventures Ghost Architecture framework. Ghost Architecture is a confidentiality model where the deploying vendor cannot acknowledge the client relationship, expose identifying information, or reference the client in any marketing materials. All client names, partner names, case numbers, financial amounts, matter identifiers, and employee names have been removed or visually redacted throughout the dashboard, video, and source code. The operational logic, agent architecture, exception handling pathways, performance metrics, and infrastructure code remain fully intact and publicly accessible.

“Ghost Architecture was designed for exactly this moment,” a TFSF Ventures spokesperson said. “Our clients operate in competitive legal markets where the fact that they have deployed autonomous infrastructure is itself a competitive advantage. They do not want their competitors to know they have it. But they want other firms in their industry to see what is possible. This showcase proves that full transparency about capabilities and full protection of client identity are not mutually exclusive.”

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The firm noted that when it surveyed deployed clients about participating in the showcase, the response was immediate. Clients who had seen the operational impact of their deployments were willing to authorize sanitized showcases because the Ghost Architecture framework gave them confidence that their identity and competitive position would remain protected. The showcased law firm was among the first to volunteer.

The deployment achieved measurable operational results over the 90-day period. Monthly operational costs dropped from $22,800 for 4.1 full-time equivalent staff members to $487 in infrastructure costs, representing a 97.9 percent cost reduction. Total verified savings reached $66,950. Annual projected savings based on the 90-day trend are $267,756. The deployment achieved a 14-day payback period on the initial investment. Cost per task decreased from $0.42 at launch to $0.11 at the 90-day mark, a 74 percent reduction driven by compound learning effects as the agents processed increasing volumes of operational data.

The agents handled 345 operational exceptions over the 90-day period. Of those, 330 were auto-resolved without human intervention. Only 15 required escalation to a human operator. Average exception resolution time was 6 minutes. Exception types ranged from conflict of interest catches during client intake to trust account deposit discrepancies, court deadline changes requiring cascading updates across linked matters, e-filing format rejections requiring auto-correction and resubmission, and billing rate changes mid-matter flagged for partner approval.

The GitHub repository, hosted at github.com/SFOSTER2030/agent-command-center, contains the complete React and TypeScript codebase including the login screen, sidebar navigation, dashboard components, activity feed with real-time agent action logging, exception handling interface, metrics and ROI dashboards, deployment timeline view, and administrative settings. The repository has been reviewed and audited to confirm that no client-identifying information exists in the code, comments, configuration files, or commit history.

The walkthrough video, available on YouTube, demonstrates the platform as the client experiences it — from login through the real-time activity feed showing agents firing every three seconds across 10 operational categories, the exception log with detailed resolution pathways, the ROI dashboard with compound learning curves, and the full agent roster with individual performance metrics.

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HTAG Analytics Becomes First Australian Proptech to Launch MCP Integrations with Claude and Perplexity AI

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HTAG Analytics Becomes First Australian Proptech to Launch MCP Integrations with Claude and Perplexity AI

Subscription Services for Property Market Insights | HtAG

HTAG Analytics launches MCP connectors for Claude and Perplexity, giving AI agents live access to 40+ Australian property metrics across 5,000 suburbs.

HTAG Analytics Becomes First Australian Proptech to Launch MCP Integrations with Claude and Perplexity AI

The biggest bottleneck in property research isn’t data availability — it’s interpretation time. We’ve turned a process that took hours into a conversation that takes seconds.”

— Dr Matija Djolic

Sydney-based property intelligence platform HTAG Analytics has become the first proptech company in Australia to deploy native Model Context Protocol (MCP) integrations with both Claude by Anthropic and Perplexity AI — enabling AI agents to query live Australian property market data directly inside user workflows.

HTAG Analytics (htag.com.au), Australia’s leading independent property intelligence platform, today announced the launch of the HTAG Intelligence MCP Connector — making it the first proptech business in Australia to deliver native integrations with Claude (Anthropic) and Perplexity, the two most widely adopted AI agents globally.

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The HTAG Intelligence MCP Connector is available immediately at developer.htagai.com.

What Is the HTAG Intelligence MCP Connector?

The Model Context Protocol (MCP) is an open standard that allows AI agents to connect directly to external data sources and services. By publishing an MCP-compliant server, HTAG has made its entire property intelligence dataset accessible to any compatible AI agent — no manual API calls, no copy-pasting, no separate dashboards.

Users of Claude and Perplexity can now connect the HTAG Intelligence Connector and ask questions such as:

“What is the market cycle stage and RCS score for Paddington QLD?”
“Compare stock-on-market and days-on-market trends between Ballarat North and Alfredton VIC.”
“Find suburbs with gross yield above 5%, low vacancy rate, and RCS Capital Growth above 70.”

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The AI agent resolves the query in real time by calling the HTAG Intelligence API and returning structured, interpreted answers — drawing on 40+ live metrics across approximately 5,000 Australian suburbs and localities.

The Data Behind the Integration

The HTAG Intelligence API — now powering these integrations — exposes 34 endpoints across five core categories:

Market Scores & Analysis: HTAG’s proprietary Relative Composite Score™ (RCS) system rates every suburb from 1–100 across Capital Growth, Cashflow, and Lower Risk dimensions, calculated from 80+ underlying metrics. The composite Overall RCS provides a single investment-grade signal.

Market Cycle Intelligence: The Growth Rate Cycle (GRC) indicator reveals whether a suburb’s price momentum is accelerating, decelerating, or at a turning point — critical context for timing entry. Growth Pattern Deviation (GPD) and Growth Spillover Potential (GSP) metrics quantify how a suburb is performing relative to its own historical trend and its broader Local Government Area respectively.

Supply & Demand Analytics: Stock on Market (SoM), Inventory (months of supply), Days on Market (DoM), Vacancy Rate, Auction Clearance Rate, and Hold Period are all available as point-in-time snapshots and time-series trends — with both long-term and short-term regression slopes for each metric.

Fundamentals & Risk: IRSAD socio-economic decile, Renter-to-Owner ratio, Economic Diversity Index (EDI), Mining & Agriculture Dominance Index (MADI), Flood Risk Index, and Bushfire Risk Index are accessible through a single endpoint call.

Property Valuation: Individual property estimates, address standardisation, geocoding, environmental overlays, and demographic profiles complete the data suite.

Why This Matters for Buyers Agents and Property Investors

Australian buyers agents and property investors have traditionally accessed property data through fragmented portals, manually compiled spreadsheets, and periodic reports. The HTAG Intelligence MCP Connector eliminates that friction entirely.

“The biggest bottleneck in property research isn’t data availability — it’s the time it takes to pull data from multiple sources, interpret it, and form a view,” said Mat Djolic, Founder of HTAG Analytics. “By making the HTAG Intelligence layer natively accessible inside Claude and Perplexity, we’ve turned a research process that used to take hours into a conversation that takes seconds. This is what a buyers agent operating system looks like.”

HTAG’s typical price methodology — the proprietary alternative to median price used across all endpoints — controls for compositional bias and outlier distortion by fitting data across the full historical period, prioritising accuracy for the most recent month. This makes HTAG yield calculations more current than providers relying on rolling median-to-median comparisons.

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TwelveLabs Transforms UNICEF Korea’s 8TB Media Archive with Video Intelligence, Reducing Search Time by 95%

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TwelveLabs Transforms UNICEF Korea's 8TB Media Archive with Video Intelligence, Reducing Search Time by 95%

TwelveLabs Launches Ecosystem Partner Program to Extend Video Intelligence  in the Enterprise

Natural language search now surfaces any moment across 8TB of media — in seconds

TwelveLabs, the video understanding company, announced it has built an AI-powered digital archive for UNICEF Korea, transforming more than 8 terabytes of fragmented media into an instantly searchable asset library. The system reduces media search time by approximately 95%, turning previously inaccessible content into a real-time resource for campaigns and storytelling.

UNICEF Korea’s media archive spans decades of fundraising campaigns and child rights programs, comprising tens of thousands of hours of video and millions of images. Despite its value, the archive had remained largely unusable—scattered across individual PCs and network storage systems with no unified way to search or retrieve content.

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

Video-Native Intelligence, Not Keyword Search

TwelveLabs addressed this challenge using its Video-Native AI technology, which understands video beyond simple metadata or frame-based analysis—capturing relationships between visuals, audio, actions, and context at the scene level. As part of the deployment, UNICEF Korea’s existing NAS data was migrated to AWS S3, creating a scalable, structured foundation for indexing and retrieval.

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Staff can now search the archive using natural language queries such as “children collecting water at a field site in Africa” or “end-of-year fundraising campaign clips,” and instantly receive relevant results with precise timestamps. Footage buried for up to a decade is now fully accessible and ready for immediate use in campaigns, reporting, and content production. New media is automatically indexed upon ingestion, ensuring the archive remains continuously searchable.

Results

  • 95% reduction in media search time
  • Thousands of manual folder reviews eliminated
  • Faster campaign planning and content production workflows
  • Full 8TB historical archive now searchable and active

“UNICEF Korea’s media archive is more than a storage repository—it’s a first-hand record of where support is needed and how programs operate in the field,” said Jae Lee, CEO of TwelveLabs. “When organizations can access that information instantly, it sharpens decision-making across everything from campaign strategy to resource allocation. We see significant potential to bring this capability to any organization with large, underutilized media archives.”

UNICEF Korea marks TwelveLabs’ first deployment in the non-profit organization sector, extending the platform’s reach beyond media and enterprise into organizations managing large-scale mission-critical archives.

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AI Website Builder Kite Handles SEO, Bug Fixes, and Maintenance for Freelancers and Small Businesses

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Floyi Publishes Three-Pillar Topical Authority Audit for SEO and AI Search Teams

New platform from Appsmith combines conversational web design with AI agents that keep websites performing for months and years to come.

Kite (kite.ai), a new AI website builder from Appsmith, is now available for freelance web designers and small business owners who want a professional website without the ongoing burden of website management. This new platform turns a guided conversation into a professional website, then goes further: maintaining and optimizing those websites automatically using AI agents.

Unlike most AI website tools that generate quick designs and leave the rest to users, Kite walks people through the design process with insightful questions, curated options, and real-time adjustments that shape the website around the needs of the business. After publication, Kite’s AI agents continuously monitor, optimize, and fix issues without requiring human intervention. Users get websites that perform as well six months after launch as they do on Day One.

“The dirty secret of every website builder is that building the site is the easy part,” said Abhishek Nayak, co-founder and CEO of Kite. “The hard part is everything that comes after. Pages drift out of SEO. Contact forms break. Links go dead. Small businesses don’t have someone on staff to catch that, and they shouldn’t need to. These are problems that should never happen in the first place. We built Kite so they don’t.”

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

A New Platform for Freelance Web Designers

Kite is gaining early traction among freelance web designers who build and manage websites for clients. The AI website builder addresses several pain points specific to this growing market.

Freelancers using Kite can deliver websites that look professional and convert, without needing to code, design, or maintain them. Instead of starting from generic templates, Kite generates several distinct design directions based on a client’s business. From there, designers shape the site through conversation — testing headlines, layouts, imagery, and content — the way they work with a creative partner.

After launch, Kite’s background agents handle ongoing website maintenance tasks like SEO, broken link detection, and quality assurance. These processes are often overlooked, but they quietly erode a site’s performance when they go unmanaged. Meanwhile, built-in guardrails keep clients from introducing errors into their sites through routine updates, so designers and clients can both trust that websites stay functional and in line with good design principles.

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Built for Small Businesses Who Have Better Things to Do

Small business owners like photographers, personal trainers, wedding planners, and restaurateurs are also turning to Kite because it eliminates the ongoing complexity of website maintenance. The intuitive interface and autonomous agents address a crucial pain point for people with limited time or attention to spend on their web presence.

“I’ve built websites with Wix, Webflow, Figma Sites, Framer, WordPress, Bolt, and Lovable. The difference with Kite is the effort needed, time it takes, and overall cost to build something that looks the part. In a couple of days I can build what I want and get the output quality that I want,” says Naveen Prabhu, co-founder and CEO at GetReplies.

A New Product from Appsmith

Kite is a new product from Appsmith, the open-source internal tools platform backed by $52 million from Insight Partners, Accel, and Canaan. Appsmith serves as operational infrastructure for teams at Dropbox, AWS, ByteDance, and dozens of other enterprises, and has earned more than 39,000 GitHub stars from developers worldwide.

“Building Appsmith taught us one of the most important lessons behind Kite: there’s a world of difference between getting software up and running and keeping it running well over time,” said Nayak. “That’s true for enterprise dashboards, and it’s just as true for the websites that small businesses depend on to find clients and grow. Kite is what happens when you apply that lesson to the web.”

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Enformion Launches Licensed Identity Intelligence Infrastructure to Power AI and Modern Data Platforms

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Enformion Launches Licensed Identity Intelligence Infrastructure to Power AI and Modern Data Platforms

Enformion Wins 2024 MarTech Breakthrough Award

Enformion has launched its licensed Identity Intelligence Infrastructure, a unified data foundation designed to help organizations reduce data fragmentation and accelerate AI-driven innovation. By connecting billions of identity, contact, location, and professional data points into a high-fidelity identity spine, the platform enables more accurate identity resolution, improved analytics performance, and scalable data integration. Covering 98% of U.S. adults and delivered through flexible deployment options, the infrastructure simplifies the data supply chain while supporting modern AI and data platform needs.

Enformion announced the launch of its licensed Identity Intelligence Infrastructure, a unified foundation designed to help data aggregators, resellers, and marketing and CRM platforms drive identity intelligence, reduce fragmentation, and accelerate AI-driven innovation.

As organizations scale AI and analytics initiatives, fragmented data ecosystems and inconsistent identity signals continue to limit performance. Industry research indicates that only 31% of companies consider their data AI-ready, while 34% report revenue loss due to siloed data environments (TechRadar).

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

Enformion connects billions of records across consumer identity, contact points, location history, and professional activity to create a high-fidelity identity spine. Delivered directly into customer environments via API, batch, Snowflake, or cloud storage, the Identity Intelligence Infrastructure covers 98% of U.S. adults and incorporates deep historical intelligence streams—providing a scalable foundation for identity-driven applications. It also simplifies the data supply chain into a single, trusted provider.

“Modern platforms don’t need more data—they need better identity intelligence,” said Chris Lundquist, Chief Executive Officer of Enformion. “As AI adoption accelerates, the quality and consistency of identity intelligence data has become a critical dependency. We’re providing a reliable identity intelligence backbone for organizations—helping them grow analytics capabilities, enhance model accuracy, and bring innovative products to market with clarity and control.”

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

The robust offering simplifies data integration while providing identity resolution and operational efficiency, empowering organizations to reduce technical overhead, enhance AI and analytics performance, and unlock new product and partnership opportunities.

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MarTech Interview with John Petralia, CMO at PubMatic

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MarTech Interview with John Petralia, CMO at PubMatic

John Petralia, CMO at PubMatic chats about the latest adtech innovations and trends that are shaping unique advertising experiences in this interview by MarTechSeries:

_____

Hi John, take us through some of your best marketing moments over the years?

When I look back on my career, the moments that stand out most are when marketing created real value, both for customers and for the business.

Great marketing starts with authentic connection. It’s about understanding the business challenges your audience is facing and creating experiences that feel frictionless and genuinely helpful. When customers can clearly see how your solution helps them move their business forward, that’s when marketing becomes even more impactful.

I’ve also seen firsthand how powerful it is when marketing investment is directly tied to revenue growth. Some of the most defining moments in my career have been when organizations shifted their mindset, from viewing marketing as an expense to recognizing it as a true growth lever. When that connection becomes clear, it changes how companies operate and how teams align.

And beyond outcomes, the moments I value most are about the people. As a leader, there’s real joy in setting a bold vision and raising the bar in a way that stretches a team’s capabilities. Creating that constructive discomfort, and then watching people exceed what they thought was possible, is one of the most rewarding parts of my job.

What are some of the top trends that will define advertising and lead the ad tech ecosystem in 2026 in your view?

Advertiser expectations are reshaping the ad tech space this year, particularly around fee transparency and the growing impact of AI across the buyer journey.

Transparency has long been a friction point in digital advertising, and it’s re-emerging as a central issue. Advertisers want clearer visibility into fees, supply paths, and how value is distributed across the ecosystem. That scrutiny is only increasing as budgets face greater accountability.

At the same time, AI is fundamentally reshaping how campaigns are planned, activated, and optimized. We’re moving beyond AI as a reporting layer to more agentic systems that can actively manage decisions in real time, improving efficiency, performance, and yield across the lifecycle of a campaign. As those capabilities mature, they’re compressing timelines and reducing operational friction for buyers.

The intersection of these trends makes this a transformational moment for ad tech. Advertisers are demanding smarter execution powered by AI, and clearer economics across the supply chain. The platforms that can deliver both will define the next phase of growth for the industry.

As a marketing leader, how are you using modern martech and ad tech to align with business growth goals?

At PubMatic, we’re embedding AI across the full spectrum of our marketing capabilities to ensure our work is tightly aligned to growth.

That starts with strategy: using AI to help refine positioning for key audiences and sharpen how we communicate value. It extends into the development of sales enablement materials, targeted campaigns, and campaign assets. From there, we leverage AI in activation and optimization within our marketing automation systems, and ultimately in measuring performance and impact.

We’re also building internal AI agents that support planning and prioritization across go‑to‑market teams, while integrating best‑in‑class external AI tools where they accelerate execution.

By leveraging AI from strategy through measurement, we’re creating stronger alignment between marketing activity and measurable business outcomes.

Marketing Technology News: MarTech Interview With Fredrik Skantze, CEO and Co-founder of Funnel

How do you see the scope of marketing and advertising changing today, given that new AI-powered martech and ad tech impact how marketers and advertisers are trained and hired to form modern teams?

As AI-powered martech and ad tech make more aspects of execution measurable and optimizable, the expectation for ROI has increased, even in traditionally brand-led environments. At the same time, we’re seeing strong growth in high-impact formats and moments like CTV, mobile, and live sports. These environments allow marketers to connect with audiences in meaningful moments and measure performance with far greater precision.

That shift is changing how teams are structured and hired. Modern marketers need to be comfortable operating at the intersection of brand and performance. They need data fluency, an understanding of AI-enabled tools, and the ability to translate insights into business impact.

Four martech and marketing best practices you’d leave our readers with before we wrap up?

Be a growth partner.

Marketing should be directly tied to revenue and business outcomes. When you align your work to growth, you elevate marketing to a true value creator.

Create frictionless, value-driven experiences.

The goal isn’t just to reach your audience. It’s to help them solve real business challenges. The more relevant and seamless the experience you can provide, the more trust and impact you build.

Invest in continuous capability building.

The skills that made marketers successful in the past won’t be enough on their own. AI, data, and evolving formats require ongoing innovation in how teams operate and the skills they develop.

Organize for speed and adaptability.

The digital advertising ecosystem is evolving swiftly. Teams that embrace experimentation, agility, and cross-functional collaboration will stay ahead of the curve.

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Programmatic Advertising Solutions | SSP Programmatic | PubMatic

PubMatic is a leading AI-powered ad tech company delivering digital advertising performance. Through an intelligent, unified platform that connects buyers, publishers, data partners, and commerce media networks, PubMatic delivers superior performance with greater transparency, control, and efficiency.

About John Petralia

John Petralia, is CMO at PubMatic

Intentwise introduces “Commerce Observability”

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Intentwise introduces "Commerce Observability"

Last week, Intentwise, a leader in marketplace management technology, defined a new category: Commerce Observability, the operating standard for modern marketplace commerce.

Marketplace commerce has an observability problem. Signals are fragmented across multiple marketplaces and multiple siloes within those marketplaces. These fractured signals create blind spots and erode profitability.

Commerce Observability is the ground truth for your commerce teams, and it is the essential layer for an AI-centric future. Commerce Observability ties together ads, retail, competition, and cross-channel signals into a connected layer that your teams and AI can act on.

By coining Commerce Observability, we are putting a name to the system that leading brands and agencies operate on—a way to understand all of your signals across Amazon, Walmart, TikTok, Shopify, Meta, and let your team and AI take informed actions.

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

Intentwise’s Commerce Observability is made possible through our three core products:

Intentwise Foundation is the infrastructure layer of Commerce Observability. Unify and standardize commerce data across platforms, plus get AI-ready data pipelines and MCP-driven agentic access.

Intentwise Intelligence lets brands and agencies see what’s driving performance across the entire system. Eliminate blind spots with unified diagnostics and dashboards that offer visibility across Amazon, Walmart, TikTok, Shopify, Meta, and more.

Always know which products are at risk of losing Buy Box or running out of stock, with a live queue of urgent events. Plus, benefit from anomaly detection and AMC-powered shopper intelligence.

Intentwise Optimize turns that visibility into precise, scalable execution across your advertising portfolio. Get advertising automation, audience activation, and performance orchestration—all built on our Commerce Observability platform.

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Intentwise clients who received early access to the Commerce Observability stack have already revolutionized their day-to-day operations. “Our team is now identifying performance drivers faster and delivering stronger insights to clients,” said Matt Snyder, CEO of Brands Excel. From clients, “the response to the new reporting approach has been fantastic.”

“Without Commerce Observability, you are operating blind,” said Sreenath Reddy, CEO of Intentwise. “Marketplace performance is driven by an interconnected system of signals. If those signals aren’t connected, you cannot act with confidence, and your AI will fail. Commerce Observability is the operating standard.”

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AI Agents Force Rethink of SaaS Pricing and Improve Customer Experiences

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AI Agents Force Rethink of SaaS Pricing and Improve Customer Experiences

New enterprise deployment data from Automation Anywhere shows AI service agents resolving more than 80% of employee support requests, reducing ITSM licensing costs by up to 50%.

Automation Anywhere, the leading provider of Agentic Process Automation (APA) and agentic solutions, released new data showing that its AI agents are materially changing the economics of enterprise IT support. Based on analysis of millions of service requests and tickets across more than 70 enterprise deployments, the company found its AI agents resolving more than 80% of employee service requests on average, potentially reducing IT service management (ITSM) licensing costs up to 50%.

The findings signal a fundamental disruption in pricing enterprise software. For decades, enterprises have paid a “SaaS tax”— a compounding cost tied to seats, usage, and growing complexity, rather than outcomes. As AI systems diagnose and resolve service issues autonomously, pricing models tied to seat licenses, including those used by legacy SaaS platforms, are increasingly disconnected from the work performed.

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Across enterprise deployments using Automation Anywhere’s purpose-built AI agents for service desks and ITSM, organizations reported:

  • AI agents auto-resolving more than 80% of IT support requests.
  • ITSM licensing costs may reduce up to 50%, resulting in large enterprises saving more than $5 million annually on average.
  • Significant reductions in service desk workload, including 50% fewer call volumes and faster resolution times.
  • Time-to-value with first AI agents in as little as 8 weeks.
  • Corresponding gains in employee productivity.

The shift comes as enterprise software costs continue to rise. Gartner reports that “SaaS vendors are driving substantial cost increases for enterprise clients, with renewal uplifts reading 10 to 20% on average — far exceeding global inflation and typical IT budget growth.[1]” At the same time, AI adoption is accelerating this change with its core promise of helping CIOs reduce the SaaS tax of legacy ITSM platforms.

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Legacy ITSM platforms are largely priced based on per-seat licenses, and platform usage, meaning organizations spend more as their workforce and IT complexity grow. As AI agents, especially those purpose-built with domain-specific knowledge, execute more work autonomously, fewer employee and customer service interactions are required, challenging pricing models tied to service desk seats and usage.

“AI agents aren’t just reducing cost, they’re raising the standard for how work gets done,” said Mihir Shukla, CEO and co-founder of Automation Anywhere. “They can prevent issues, resolve them instantly, and deliver consistent, high-quality outcomes. That resets expectations for service across the enterprise.”

With strong traction with Fortune 1000 enterprises in IT, Automation Anywhere customers are expanding agentic AI-first services from IT to support HR, finance, procurement, and broader customer and employee experience workflows, signaling a rapid shift as AI agents begin executing tasks directly across enterprise systems.

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The Arena Group and Playwire Partner to Bring High-Impact Ad Inventory to Scale

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The Arena Group and Playwire Partner to Bring High-Impact Ad Inventory to Scale

The Arena Group Holdings, Inc. Logo

The Arena Group Holdings, Inc. , the brand, data and IP company home to many of the most recognizable brands including TheStreet, Parade, Men’s Journal, Athlon Sports, Surfer, ShopHQ and more, announced its partnership with Playwire, the ad monetization platform for digital publishers, bringing scale to high-impact advertising inventory. Through the partnership, Playwire’s direct sales team has the ability to sell Flex Suite advertising units across The Arena Group’s portfolio of brands.

The Flex Suite is Playwire’s exclusive set of high-impact advertising formats. It uses code-on-page technology to provide custom placements that go beyond the capabilities of standard programmatic advertising. The formats now available across The Arena Group’s portfolio include:

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  • Flex Video: Large-format mobile video that loads above content and remains sticky as the user scrolls. Auto-play, non-skip, 15-second creatives built to capture attention and keep it.
  • Flex Skin: A cross-platform, adhesive, dynamic unit highly sought after by premium brands. It compresses as users scroll and supports video and shoppable features.
  • Flex Rail: A full-screen interactive mobile canvas that loads as an animated overlay, prompts the user to expand for a large-format video or interactive experience, then collapses and stays in view.
  • Roadblock (SOV Add-On): Any Flex Suite unit can be upgraded to 100% Share of Voice, blocking out the competition entirely on that first impression across our network.

“The synergy between Playwire’s sales force and our premier brand portfolio represents a strategic partnership positioned for significant scale,” said Chris Heck, VP of Integrated Marketing at The Arena Group. “By integrating Playwire’s Flex Suite across our properties, such as Parade and Men’s Journal, we are providing advertisers with streamlined access to a curated ecosystem of premium, high-impact brand environments.”

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Additionally, this partnership seamlessly unlocks the opportunity for brands to partner with The Arena Group’s network of sites on custom branded content campaigns, allowing brands to connect with target audiences through immersive storytelling that perfectly complements Playwire’s Flex Suite activations.

“The Arena Group has built something rare in digital media: a portfolio of brands that people trust and return to,” said Jayson Dubin, CEO at Playwire. “Pairing that kind of audience quality with Playwire’s direct sales reach and Flex Suite capabilities is a combination that should get every serious advertiser’s attention. We’re proud to bring this partnership to market.”

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BlueDolphin Launches as the First AI-Powered Business Transformation Platform, Marking Strategic Rebrand from ValueBlue

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Robutler Launches Unified Infrastructure Platform for AI Agent Commerce

BlueDolphin Logo

Company Unveils Next Generation Platform with New AI-First Experience, Major Enhancements, Free Trial, and a New Company Identity as BlueDolphin

ValueBlue announced its transformation into BlueDolphin, unveiling a new brand and platform vision designed to redefine how organizations execute business transformation.

The launch marks a significant milestone following the company’s 15th anniversary earlier this year. BlueDolphin now expands beyond traditional enterprise architecture to support transformation from strategy through execution, bringing together solution design, architecture management, and strategic planning in a single AI-powered platform. While the product has long been known as BlueDolphin, the company now fully adopts the name as its unified brand.

Transforming Transformation

In today’s business environment, change is constant, high-stakes, and unavoidable. Yet according to Bain & Company, 88 percent of organizations remain constrained by fragmented tools, disconnected teams and information, and approaches built for a slower, simpler world. The result is the illusion of progress, where significant time and resources are invested without meaningful impact.

BlueDolphin is leading a new way to change those odds.

“Too many organizations are working harder than ever without moving forward,” said Jelle Visser, CEO of BlueDolphin. “They plan, align, and redesign, yet momentum never builds. We take a different approach. By bringing strategy, architecture, and solution design into one connected, AI-powered flow, we turn transformation into continuous, collaborative, and measurable progress.”

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With this evolution, BlueDolphin also addresses a new class of transformation challenges, including how organizations manage and scale AI and autonomous agents across systems, processes, and teams.

As organizations move from experimenting with AI to using autonomous agents more widely, new challenges are emerging around how to manage and control them. Without a shared view of the business, clear rules, and coordination across teams, these systems can quickly become fragmented and difficult to manage. BlueDolphin provides a central layer of control for AI-driven work.

By connecting agents to a shared architecture and guiding their actions through solution design, the platform ensures decisions stay aligned with business goals, follow defined standards, and adapt as the organization evolves. This allows organizations to scale AI automation with confidence while maintaining visibility and control.

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Expanding Beyond Enterprise Architecture

This launch reflects BlueDolphin’s expansion into a broader business transformation platform, bringing together Strategic Planning, Architecture Management, and Solution Design in a single, integrated environment. By connecting these capabilities, BlueDolphin enables organizations to align strategy and maintain a unified view of data, processes, and stakeholders across current and future states. Teams can shape and manage initiatives within one system that keeps decisions aligned and plans grounded in reality.

AI is embedded across the platform as a foundational capability, supporting natural language querying, AI-assisted modeling, impact analysis, and decision support to enable faster insights and more informed decisions.

As part of the launch, BlueDolphin is introducing new AI capabilities, enhancements to its solution design features, improved platform navigation, and a free trial of the platform. These updates accompany the company’s transition to a unified BlueDolphin brand, reflecting its expanded product scope and positioning.

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Levanta Acquires Perch+, Expanding Its Affiliate Marketplace with Hundreds of Amazon Sellers and Publishers

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Levanta Acquires Perch+, Expanding Its Affiliate Marketplace with Hundreds of Amazon Sellers and Publishers

Screenshot 2026-02-27 at 5.55.48 PM.png

The acquisition accelerates Levanta’s marketplace growth and gives Perch+’s sellers and publishers access to modern affiliate infrastructure

Levanta, the leading affiliate and creator platform for e-commerce, announced the acquisition of Perch+, one of the earliest affiliate networks built specifically for Amazon sellers. Perch+’s network of sellers and affiliate partners will now operate within Levanta, giving them access to a modern affiliate and creator platform built for e-commerce.

Levanta is acquiring Perch+ at a time of significant momentum, having grown 60% since last year. In 2026 alone, it has expanded its platform to support unified affiliate and creator programs across Amazon, Shopify, and Walmart, and introduced Paid Placements, which enables brands to secure flat-rate creator deals with affiliate-level performance measurement. The acquisition of Perch+’s sellers and affiliate network is the latest step in that momentum, further strengthening Levanta’s position as the leading platform for affiliate and creator-driven e-commerce.

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“Perch+ built meaningful traction with Amazon sellers early on when very few affiliate platforms were focused on their needs,” said Ian Brodie, CEO and Co-Founder of Levanta. “By bringing this network into Levanta, we’re expanding opportunity on both sides of the marketplace — more brands for creators, and more creator-driven growth for brands.”

For Perch+ brands, the move to Levanta represents a significant upgrade in capability, enabling them to work directly with 60,000+ vetted partners in Levanta’s Marketplace, with advanced tooling for creator recruitment at scale and full support for Amazon Attribution and Creator Connections. Brands can also run Paid Placement campaigns, automate Product Sampling, and surface who is already talking about their brand across social, all from a single system.

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For creators and publishers, the transition brings more than just a new platform. Levanta’s platform offers improved tracking, faster payouts, and a more centralized place to manage partnerships. Creators gain access to a significantly expanded roster of brands and greater earning opportunities, giving them more ways to land paid campaigns, earn performance-based commissions, and get products into their hands to create content.

“We built Perch+ to help Amazon brands tap into affiliate marketing as a meaningful growth channel,” said Jason Baer, chief marketing officer at Infinite Commerce, parent company of Perch+. “Levanta has built the platform and scale to take that vision much further. We’re excited to see the network continue to grow within Levanta.”

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Swoogo Launches Native MCP Server, Becoming the First and Only Event Platform to Connect Live Event Data to AI Tools

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Swoogo Launches Native MCP Server, Becoming the First and Only Event Platform to Connect Live Event Data to AI Tools

Event teams can now query registrations, analyze attendance, and vibe code custom event sites using Swoogo together with Claude, ChatGPT, Gemini, Lovable and others

Swoogo, the event management platform for B2B event teams, announced the launch of its native Model Context Protocol (MCP) server. Swoogo is the first and only event management platform to offer a native, ready-to-use MCP server, giving event teams direct access to their live event data inside AI tools like Claude, ChatGPT, Gemini, Lovable, Replit, and Cursor.

Setup takes five minutes. No code or engineering resources required.

MCP is an open standard that lets AI tools connect securely to external systems. With Swoogo’s MCP server, the AI tools event teams use every day can now read, query, and act on real event data.

“Most event platforms are building AI inside their own walls and stopping there,” said Chris Sykes, CEO of Swoogo. “We’re building AI into Swoogo too, but we’re also doing something different: connecting event data to the AI tools our customers already use. Planners shouldn’t have to choose between our AI and theirs.”

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Three use cases, one connection

Swoogo’s MCP server unlocks three capabilities for event teams:

Conversational data access. Event teams can ask plain-language questions about registrations, session capacity, attendee profiles, and more, and get answers in seconds without opening a dashboard or exporting a spreadsheet. Which companies have the most registrants? Which sessions are approaching capacity? Who still needs follow-up? Swoogo delivers answers.

AI-powered event builds. With tools like Lovable, Replit, or Cursor, event teams can vibe code a fully branded event site or registration experience through conversation. Teams describe what they want, the tool builds it, and registration data flows directly back into Swoogo as the system of record. No design team or engineering resources required.

Cross-event intelligence. Most event data lives in silos, one event at a time, one report at a time. Swoogo’s MCP server connects the dots across an entire event portfolio and pulls in outside data sources to add context event data alone can’t provide. For example, by pairing two completely different data sources, like Swoogo and a CRM, teams can identify which attendees converted to customers, compare which events and regions drove the most revenue, and pinpoint which content or experiences closed the most deals. The server enables insights across an organization’s full event history that no single dashboard could surface, powering recommendations teams can actually act on.

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Why it matters

Most event platforms are building AI as closed, internal features that live inside their own products. Swoogo took a different approach: rather than locking AI capabilities behind a proprietary interface, Swoogo built an open connection point that lets event teams bring their own tools.

Because MCP is an open standard, Swoogo’s MCP server works with any AI tool that supports the protocol. As adoption grows, Swoogo’s compatibility expands automatically.

Swoogo’s MCP functionality also compounds with other connected data sources. Paired with Salesforce, event teams can identify which attendees turned into pipeline. Layered with company data, they can segment registrants by industry. The insights stack.

“We didn’t want to build another chatbot,” said Mike Olivieri, CTO of Swoogo. “We wanted to build a connection point. The best AI tool for any given team is the one they’re already using. Our job is to make sure their Swoogo data is there when they need it.”

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RankScore Launches ‘Vibe SEO’ AI Agent to Automate SEO for Businesses

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RankScore Launches 'Vibe SEO' AI Agent to Automate SEO for Businesses

Gulf Coast Brands

RankScore gives small businesses a full SEO workflow for a one-time fee, replacing tools that cost $400 a month and agencies that cost thousands

Gulf Coast Brands LLC, a Tampa-area digital media and software company, has launched RankScore, an AI-powered SEO platform built for small business owners, solo founders, and content operators who need search results without the overhead of agencies or enterprise tools.

Most small businesses lose in search not because their product is worse, but because their content is.”

— Sam Frost, founder

The platform centers on Artemis, an AI agent that handles the full SEO workflow in a single conversation — finding keyword opportunities, writing optimized articles, and publishing them directly to your website. Where traditional tools like Ahrefs and SEMrush hand users data and walk away, Artemis executes.

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RankScore launched with a lifetime deal priced at $99 — a one-time payment covering all features, all future updates, and no renewal fees.

Early results have been notable. Simon Hood of Sooper Books, the award-winning children’s storytelling platform, said the tool helped take his site “from near zero to hundreds of thousands of clicks in Google.” A lawn care business owner reported his organic traffic doubling within weeks.

“Most small businesses lose in search not because their product is worse, but because their content is,” said Sam Frost, founder of RankScore and Gulf Coast Brands LLC. “Agencies charge $3,000 to $8,000 a month. The big SEO tools charge $400 a month and still make you do all the work. I built RankScore because neither of those options made sense for the businesses I kept seeing struggle.”

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The $99 lifetime deal includes keyword discovery, AI-generated articles, one-click publishing, rank tracking, topic cluster planning, and priority support. A 30-day money-back guarantee covers every purchase.

RankScore is live at rankscore.co. The lifetime deal is available for a limited period before moving to a monthly subscription model.

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Vuzix Ships Follow-On Production Order from Major Defense Customer for Waveguide-Based AR Display Systems

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Vuzix Ships Follow-On Production Order from Major Defense Customer for Waveguide-Based AR Display Systems
  • Order supports broadening initial production rollout of next-generation head-mounted display program

Vuzix Corporation, a leading supplier of AI-powered smart glasses, waveguides, and augmented reality technologies, announced that it has received and shipped against a new six-figure follow-on production order for waveguide-based AR display systems from a U.S.-based company that is a leader in technologically advanced and intelligent solutions for the global aerospace and defense industry.

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The display component systems being delivered under this order support the customer’s initial production rollout of a next-generation head-mounted display (HMD) program. This further follow-on order reflects continued customer progress toward broader deployment and further validates the role of Vuzix waveguide and display technologies in advanced defense-oriented wearable display solutions.

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“We believe this order reflects the value of our waveguide-based display technologies in demanding defense applications and reinforces Vuzix’ position as a trusted supplier of advanced optical systems. Vuzix continues to expand its presence in defense and other high-performance OEM markets where advanced optics, display performance, ruggedization, and domestic manufacturing are critical to customer success,” said Paul Travers, President and Chief Executive Officer of Vuzix.

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Xoople Announces $130M Series B to Build Earth’s System of Record for the Agentic Era

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Xoople Announces $130M Series B to Build Earth’s System of Record for the Agentic Era

Xoople Logo

Xoople, the data infrastructure company building a global system of record for physical change on Earth, announced it has closed a $130M Series B, bringing its total raised to $225M, from investors including Nazca Capital, MCH, CDTI (Government of Spain), Buenavista Equity Partners and Endeavor Catalyst. This capital makes Xoople the top funded company in the category, with satellites capable of producing the most precise, reliable, scientific-grade data sets that will expand enterprise access to physical-world intelligence to power the AI and agentic revolutions as it starts commercialization this quarter after seven years in development.

“Every major computing era creates a new system of record; those that define that system become the economic centers of that era,” said Fabrizio Pirondini, CEO of Xoople. “CRMs gave companies a system of record for customers. Cloud platforms create systems of record for software and data. We are building the system of record for the physical world in the AI era with Xoople. After seven years developing our system in stealth, we are incredibly excited to begin commercialization in Q2 and start scaling up that capability in the market.”

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As AI systems increasingly move from analysis to autonomous action through agentic workflows, the need for and ability to easily ingest reliable ground-truth data about the physical world is expected to grow rapidly – optimizing supply chains, managing infrastructure, underwriting risk, responding to disasters, and monitoring geopolitical and security risks. As models become increasingly commoditized, proprietary datasets that connect digital systems to the physical world are emerging as a critical source of advantage. Xoople calls this infrastructure and data layer the “Earth’s System of Record,” and the company expects that it will be transformational in providing AI with a real-time understanding of the physical world.

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Since its creation in 2019, Xoople has worked in stealth mode, building its end-to-end system while forging global strategic partnerships to integrate its Earth data layer directly into existing business tools, to allow organizations to seamlessly analyze and act on real-world information.

Xoople’s private preview customers include government agencies and Fortune 500 companies who use the intelligence to enable:

  • Supply chain optimization and infrastructure monitoring
  • Agricultural forecasting and resource planning
  • Insurance risk modeling and disaster response
  • Urban planning and infrastructure resilience
  • Scenario planning and forecasting

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Five9 Appoints Jay Lee as Chief Marketing and Growth Officer

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Five9 Appoints Jay Lee as Chief Marketing and Growth Officer

Five9, Inc. Logo

Experienced GTM and analytics leader to unify marketing, data, and revenue strategy to accelerate AI-driven CX innovation

Five9, Inc. (“Five9”), provider of the Intelligent CX Platform, announced the appointment of Jay Lee as Chief Marketing and Growth Officer, effective April 6, 2026. This new role unites global marketing with revenue strategy and operations to create a more powerfully aligned go-to-market (GTM) engine for a cohesive, insights-driven, and streamlined experience for customers and partners at every stage of their journey with Five9.

Lee brings extensive experience driving business transformation, growth, and measurable financial outcomes across enterprise technology and payments industries. His appointment reflects Five9’s continued investment in integrating marketing, operations, data, and analytics to accelerate innovation and deliver more personalized, intelligent customer experiences.

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“Jay’s appointment comes at a defining moment for Five9 as we continue to accelerate our leadership in AI-powered customer experience,” said Amit Mathradas, CEO, Five9. “His ability to connect sales and customer-facing teams with underlying data and analytics to influence how we market is exactly what companies need in this next era of CX. Jay brings a rare combination of strategic marketing vision, creativity, and operational rigor, with a deep understanding of how to translate customer insight into meaningful business outcomes. As we advance our CX vision, where human expertise and AI work seamlessly together, Jay will be instrumental in helping our customers unlock greater value from their customer experience investments.”

“I’m thrilled to join Five9 at such a pivotal moment,” said Jay Lee, Chief Marketing and Growth Officer, Five9. “Customer experience, data, and commerce are converging faster than ever, and Five9 is uniquely positioned to lead that transformation. I look forward to working with the team to strengthen our brand further, deepen customer relationships, and drive measurable business impact through innovative, data-driven marketing and GTM strategies.”

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Lee joins Five9 from Icertis, where he served as Chief Marketing Officer, leading a global marketing and sales development organization driving brand, demand generation, and GTM planning and execution. Prior to Icertis, he served as Chief Marketing Officer at Avalara, where he led global demand generation and communications strategies to support commercial growth across markets and customer segments. Earlier in his career, Lee held senior leadership roles across B2B and B2C organizations, including GE Capital, American Express, and PayPal. His background across consulting, finance, marketing, and enterprise technology has shaped a disciplined, data-first approach to go-to-market strategy, with deep expertise in revenue operations and execution.

Lee is known for his collaborative leadership style, emphasizing idea generation, thoughtful problem-solving, and mentorship to help teams build durable, real-world skills across strategy, storytelling, and execution. He holds an MBA from Columbia University and a Bachelor of Science in Electrical Engineering from Cornell University.

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New Study Finds Alert Fatigue Has Become a Production Reliability Risk and Incident Response Alone Is No Longer Enough

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New Study Finds Alert Fatigue Has Become a Production Reliability Risk and Incident Response Alone Is No Longer Enough

Engineers spend 40% of their time firefighting while outages are discovered by customers before monitoring tools catch them

Modern production environments have outpaced the incident management practices built to support them, and the deficiency is now producing measurable failures. A new study released by NeuBird AI finds that nearly half of organizations (44%) experienced an outage in the past year directly linked to suppressed or ignored alerts, and a vast majority (78%) experienced at least one incident where no alert fired at all, leaving engineers to discover failures only after customers were already affected. Meanwhile, 74% of executives say their organizations are actively using AI to address these problems, compared to just 39% of engineers. The 2026 State of Production Reliability and AI Adoption Report, based on a survey of 1,039 SRE, DevOps and IT operations professionals conducted in February 2026, documents an industry at an inflection point: reactive, alert-driven incident response is no longer sufficient for the scale and complexity of modern production environments, and the path forward requires autonomous systems that can prevent, resolve and optimize operations end to end.

“This data highlights a gap in how tools support modern production environments,” said Gou Rao, CEO and co-founder of NeuBird AI. “As systems grow more complex, alert-driven approaches alone can’t keep pace. Teams need AI that works alongside them to identify risks before they surface, resolve incidents faster and continuously improve operations so reliability scales with the business.”

Incident Management Is Consuming Engineering Capacity and Driving Up Costs

According to the 2026 State of Production Reliability and AI Adoption Report, the majority of engineering teams spend 40% or more of their time on incident management rather than product development and innovation.

The overhead compounds quickly.

  • When a business-impacting incident strikes, almost all (93%) of organizations pull in three or more engineers to resolve it and nearly 40% involve six to ten people.
  • Thirty-six percent of teams spend five to ten hours every week on incident reports and post-mortems alone.
  • With 83% of teams navigating four or more tools during a live incident, every context switch adds time to an already costly response.

The financial exposure of infrastructure downtime is significant.

  • Sixty-one percent of organizations estimate infrastructure downtime costs at least $50,000 per hour, and 34% put that figure at $100,000 or more.
  • Almost 60% of organizations report their mean time to resolve a critical incident is between 30 minutes and two hours.
  • With almost 90% of companies handling up to 50 incidents per month, the cumulative cost of downtime is a material business risk.

Burnout is also a direct downstream consequence. Nearly 40% of organizations report that more than a quarter of their on-call engineers show burnout symptoms related to incident management.

“The math is stark. At a median downtime cost between $50,000 and $100,000 per hour, a one-to-two-hour resolution window for a critical incident represents $50,000 to $200,000 in direct exposure per event, not counting the engineering hours that disappear into diagnosis, root cause analysis and post-mortems,” continued Rao. “MTTR is the number one KPI organizations track for incident response, which reflects how central resolution speed is to operational performance, yet most organizations are still resolving incidents the same way they were five years ago.”

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Alert Fatigue Has Crossed from Morale Problem to Reliability Risk

When asked to identify their challenges, respondents ranked alert fatigue and noise at the top, followed by insufficient automation, knowledge silos and documentation gaps, difficulty identifying root causes and integration challenges between tools.

  • Seventy-seven percent of on-call teams receive at least ten alerts per day, and 57% report that fewer than 30% of those alerts are actionable.
  • Engineers have adapted accordingly, with 83% ignoring or dismissing alerts at least occasionally.

Taken together, these findings describe an environment in which reactive, manual incident management has become the default, leaving little capacity for the preventive work, capacity planning and reliability improvements that would reduce incident volume over time.

Executives and Practitioners Report Sharply Different Realities on AI Deployment in Incident Management

When it comes to AI in incident management, executives and practitioners are living in two different realities. A majority (74%) of C-suite respondents say their organization actively uses AI for incident management, while only 39% of practitioners say the same. Executives report what has been purchased or decided; practitioners report what is running in the environments where they work.

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The divide in perceived impact of AI is equally pronounced.

  • C-suite respondents overall were nearly three times as likely as practitioners to say AI has significantly reduced operational toil (35% vs. 12%).
  • Among practitioners who do use AI tools, 28% said the impact on their workload has been less than 10%.
  • Practitioners aren’t skeptical of AI; more than half say they’re actively evaluating AI solutions. They are more realistic about what’s been deployed, not what’s been purchased or decided.

Among organizations that have deployed AI in incident management, automated root cause analysis is the leading use case, followed by anomaly detection and prediction and alert correlation and noise reduction. Budget constraints were cited as the top barrier to AI adoption, followed closely by concerns about AI increasing system complexity and security and compliance concerns.

Today, the company also announced $19.3 million in new funding, led by Xora Innovation, and the launch of its autonomous production operations agent, bringing continuous predictive intelligence across cloud, on-premises and hybrid systems. With NeuBird AI Falcon, NeuBird AI’s next-generation engine, platform, DevOps and SRE teams can now prevent issues before they impact services, resolve incidents in minutes and continuously optimize operations.

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