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Coforge Advances Data Cosmos, a Next-Gen AI-Enabled, Cloud-Native Data and Analytics Platform Designed to Accelerate Enterprise Transformation

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Coforge Advances Data Cosmos, a Next-Gen AI-Enabled, Cloud-Native Data and Analytics Platform Designed to Accelerate Enterprise Transformation

Platform delivers advanced data modernization, management, orchestration and agentic AI capabilities for the intelligent enterprise

Coforge Limited , a global digital services and solutions provider, announced the advancement of Coforge Data Cosmos, an AI-enabled, cloud-native data engineering and advanced analytics platform, to enable enterprises to transform fragmented data landscapes into intelligent, high-performing data ecosystems.

Part of Coforge’s technology stack, Data Cosmos is a foundational innovation platform that powers cloud-native, domain-specific solutions built using standard, reusable technology blueprints including Coforge’s own IP, accelerators, agentic components, and domain-aligned solutions. The platform has been engineered to tackle real-world challenges such as data fragmentation, legacy systems modernization, high maintenance costs, limited self-service analytics, lack of unified governance, manual operations, and the complexity of GenAI adoption.

Marketing Technology News: MarTech Interview with Omri Shtayer, Vice President of Data Products and DaaS at Similarweb

At its core, Coforge Data Cosmos is structured around five strategic technology solution portfolios — Supernova, Nebula, Hypernova, Pulsar, and Quasar — that guide enterprises across the full data transformation lifecycle. Supernova accelerates modernization and migration from legacy to cloud; Nebula delivers modern data management in data governance, and metadata and data quality management by leveraging GenAI and agentic systems. Hypernova powers next-generation, cloud-native data platforms; Pulsar enables agentic, autonomous, always-on DataOps and MLOps. Quasar accelerates GenAI adoption within enterprise data ecosystems by enabling LLMs with Model Garden and orchestrating AI workflows at scale via Quasar Platform.

To further increase speed-to-value, Coforge has deployed the Data Cosmos Toolkit, a powerful suite of 55+ IPs and accelerators and 38 AI agents powered by the Data Cosmos Engine. This toolkit enables enterprises to move faster with AI-enabled utilities and frameworks, scaling transformation with speed, reliability, and measurable impact.

Data Cosmos also powers Galaxy solutions; pre-built and custom-developed domain solutions tailored for specific industries. Galaxy solutions combine industry-specific data models with the Data Cosmos toolkit and the five technology solution portfolios to solve vertical-specific challenges, enabling faster transformation and smarter decision-making. Coforge currently brings these solutions to key sectors including banking and financial services, insurance, travel, transportation and hospitality, healthcare, public sector, and retail.

The platform is backed by a robust ecosystem of leading cloud providers and technology partners, enabling Data Cosmos to run seamlessly across multi-cloud and hybrid environments while integrating with modern data and AI platforms. This ecosystem approach ensures enterprises can leverage their existing investments while adopting the latest in cloud, data, and AI innovation.

Speaking about the solution, Deepak Manjarekar, Global Head – Data, Coforge, said, “With Data Cosmos, we are setting a new benchmark for how enterprises convert data complexity into competitive advantage. This platform reflects our belief that the future belongs to organizations that can incorporate intelligence into every layer of their business. Our goal is simple – give our clients a data foundation that is fast, adaptive, and AI-ready from day one.”

The platform is already being adopted in complex transformation programs, including unified data platform modernizations, AWS-powered data transformations, and unified data operations initiatives for global clients across financial services, insurance, and other industries.

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Levelpath Launches Agent Orchestration Studio as a Fast Track to Agentic Procurement

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Levelpath Launches Agent Orchestration Studio as a Fast Track to Agentic Procurement

Levelpath enables procurement departments to easily create and deploy unlimited custom AI Agents and multi-agent workflows at no extra cost

Levelpath, the premier AI procurement platform, announced the launch of Agent Orchestration Studio, a no-code tool that allows procurement teams to create their own AI Agents and multi-agent workflows. It safely empowers non-technical users to build AI Agents that automate every step of the procurement process, from intake and sourcing to contracts and stakeholder management.

“We have hundreds of procurement professionals already working hand-in-hand with our AI Agents to get work done faster, and they are spinning up new agents every day. “

Levelpath already leads the way in end-to-end agentic procurement, with a library of dozens of AI Task Agents and Assistants that can route purchase requests, draft RFPs, analyze supplier pricing, update stakeholders, track contract obligations, and flag renewals. Built on top of the industry’s only supplier graph, Levelpath’s AI Agents know the full history of an organization’s supplier relationships and understand its workflows. This ensures that their work is accurate, compliant, and impactful to procurement teams.

Now customers can apply Levelpath agentic AI to an even greater array of tasks by using Orchestration Studio to design their own custom AI Agents and even entire multi-agent workflows. Because the platform understands their existing processes and policies, there is no need to map out every step before AI Agents optimize their workflows.

Most notably, procurement can deploy as many AI Agents as they need, at no extra charge. While many procurement platforms charge per agent, per prompt or per token consumed, Levelpath’s AI is fully embedded in the platform.

“Customers are incredibly excited by the potential of agents to reduce cycles, eliminate inefficiencies and free procurement teams to drive serious value from their supplier relationships. But, in practice, for many there are just too many barriers to agent adoption,” said Stan Garber, Co-Founder and President at Levelpath. “Organizations are worried about relying on IT resources, lengthy configurations, agent errors and unpleasant billing surprises. Our platform removes these obstacles. We have hundreds of procurement professionals already working hand-in-hand with our AI Agents to get work done faster, and they are spinning up new agents every day. We’re excited to see all the work that they can automate with Orchestration Studio.”

Levelpath AI Assistant now executes tasks

In addition to the launch of Orchestration Studio, Levelpath has expanded the capabilities of its popular AI Assistant, which draws on data from across the entire procurement process to make impactful suggestions or provide guidance. The AI Assistant can now take real workflow actions inside a project, such as approving, rejecting or reassigning steps, adding comments or generating and attaching documents. Users can even request multiple actions in a single prompt.

Marketing Technology News: MarTech Interview with Omri Shtayer, Vice President of Data Products and DaaS at Similarweb

Automated governance

Security and policy compliance remain the highest priority across the Levelpath platform. All of Levelpath’s AI Agents operate within a governed permissions framework (and within existing workflow rules), giving procurement teams the speed they need without putting compliance or oversight at risk. Every step an AI Agent takes is recorded in the Activity Log and timestamped, providing a clear audit trail of agentic actions.

Benefits for procurement teams

Orchestration Studio enables organizations to accelerate time to value from agentic AI. Businesses can:

  • Automate high-value steps instantly: Turn manual handoffs into automated actions, including routing intakes, generating documents, attaching files, and validating data without redesigning workflows.
  • Scale with reusable AI Agents: Activate pre-built AI Agents and templates to deploy summaries, supplier matches, notifications, and validations across teams.
  • Accelerate procurement cycle times: Surface relevant records automatically, match documents, and trigger next steps so contracts, invoices, and reviews move forward in seconds.
  • Improve governance and visibility: Link invoices, contracts, POs, projects, and supplier records automatically to provide a complete audit trail and reduce risk.

How Orchestration Studio works

Orchestration Studio automates procurement workflows by detecting key events, analyzing supplier and policy data, and deploying AI Agents to take real-time action. Its automation framework is organized into four core stages that move work from trigger to execution in a governed, auditable sequence.

Step 1: Trigger an Event
Automation begins when a defined event occurs, such as an intake submission, OCR completion, a sourcing event launch, or a workflow step opening. These triggers immediately activate Orchestration Studio without requiring manual follow-up. Work progresses as soon as the system detects the signal, reducing delays between stakeholders.

Step 2: Retrieve Context
Once triggered, Orchestration Studio pulls relevant supplier, contract, project, and policy data from the Levelpath supplier graph and existing workflows. It analyzes prior supplier history, approval paths, spend thresholds, and governance requirements. This ensures every automated action is informed by accurate, organization-specific context.

Step 3: Apply Business Rules
The system applies configurable business rules to determine routing, approvals, and compliance checks. Based on these conditions, it automatically connects the right stakeholders at the right time. For example, when a legal review step opens, a legal-ready summary can be generated and routed instantly. Approvals follow predefined rules, reducing bottlenecks across procurement, finance, and legal teams.

Step 4: Execute Actions
Task Agents handle focused activities such as summaries, data extraction, validations, and document generation, while Workflow Agents coordinate multi-step orchestration across teams and systems. Agents can approve, reject, reassign, notify stakeholders, or trigger downstream workflows in real time. Multiple actions can occur within a single workflow cycle. Every action is logged and timestamped to maintain governance and auditability.

See Orchestration Studio in action at LevelUp

Orchestration Studio will be unveiled this week at LevelUp, the premier AI procurement conference in San Francisco. Orchestration Studio is generally available to Levelpath customers. The three-day immersive event brings together procurement, finance, and technology leaders to explore real-world customer success stories, discover cutting-edge product innovations, and dive deep into the role of AI in transforming procurement.

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Teramind Launches the First AI Governance Platform for the Agentic Enterprise

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Teramind Launches the First AI Governance Platform for the Agentic Enterprise

Complete visibility, audit trails, and policy enforcement across every AI tool and autonomous agent – from Microsoft Copilot and Google Gemini to Claude Code and shadow AI

Teramind, the global leader in workforce intelligence and user behavior analytics, announced Teramind AI Governance, the first platform to extend enterprise-grade behavioral oversight to every AI tool and autonomous agent operating across the modern workforce.

“This isn’t a technology gap – it’s a governance gap,” said Isaac Kohen, Chief Product Officer at Teramind. “The answer isn’t less AI. It’s governed AI. Teramind gives organizations the confidence to say yes.”

The need is urgent. Teramind’s Internal Research Team found that more than 80% of workers now use unapproved AI tools on the job, one-third have shared proprietary data with unsanctioned platforms, and 49% actively hide their AI use from IT. Worker access to AI rose 50% in 2025 alone (Deloitte), and 23% of organizations are already deploying autonomous agentic systems (McKinsey). Yet until now, no platform existed to govern all of it in one place.

Marketing Technology News: MarTech Interview with Omri Shtayer, Vice President of Data Products and DaaS at Similarweb

“This isn’t a technology gap – it’s a governance gap,” said Isaac Kohen, Chief Product Officer at Teramind. “The answer isn’t less AI. It’s governed AI. Teramind gives organizations the confidence to say yes.”

What Makes It Different

Teramind AI Governance requires no new infrastructure and delivers visibility from day one – capturing prompts, responses, and autonomous actions across ChatGPT, Microsoft Copilot, Google Gemini, Claude Code, and shadow AI tools. Key capabilities include complete prompt and response logging, visual evidence capture via screen recording and OCR, full transcripts of autonomous agent activity, behavioral detection of shadow AI by execution pattern rather than signature, and automatic enforcement of existing security policies against AI agents.

According to Teramind’s Insider Risk Management Team, AI-associated breaches now cost organizations more than $650,000 per incident – a figure that rises as agentic AI accelerates the scale of potential exposure. With 50% of developers using AI coding tools daily, and agentic systems capable of executing hundreds of commands in thirty seconds, the window for ungoverned AI activity is closing fast.

Built for Compliance Landscape

Teramind AI Governance produces continuous, automatic audit trails across SOX, HIPAA, CMMC, FedRAMP, SOC 2, ISO 27001, and the EU AI Act – meeting the governance standards Deloitte’s 2026 State of AI in the Enterprise identifies as critical for organizations scaling autonomous systems.

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Brick Marketing Develops System for Balancing SEO, AI Search, and Content Marketing

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Brick Marketing Develops System for Balancing SEO, AI Search, and Content Marketing

Brick Marketing - Digital Marketing Agency

Brick Marketing today announced the development of a structured, integrated system designed to help businesses of all sizes and across all industries grow through a balanced combination of traditional search engine optimization (SEO), Generative Engine Optimization (GEO) for AI-powered search, content marketing, and strategically aligned social media promotion.

Brick Marketing (https://www.brickmarketing.com/) today announced the development of a structured, integrated system designed to help businesses of all sizes and across all industries grow through a balanced combination of traditional search engine optimization (SEO), Generative Engine Optimization (GEO) for AI-powered search, content marketing, and strategically aligned social media promotion.

As search behavior evolves and AI-powered search experiences become more prominent, Brick Marketing’s system focuses on helping organizations maintain strong traditional search visibility while also positioning their brands to be discovered, cited, and trusted within AI-generated answers. The approach is grounded in long-term growth, data-driven strategy, and alignment with business goals rather than short-term tactics.

Marketing Technology News: MarTech Interview with Omri Shtayer, Vice President of Data Products and DaaS at Similarweb

A Strategic, Technical, and Content-Driven SEO Foundation

At the core of Brick Marketing’s system is traditional SEO, which remains essential for long-term visibility and credibility. Brick Marketing’s SEO approach focuses on technical excellence, on-page optimization, content relevance, and authority building. This includes site architecture optimization, page speed and performance improvements, keyword and intent research, metadata optimization, and structured content that aligns with how real buyers search.

Rather than chasing vanity metrics, Brick Marketing emphasizes SEO strategies that support measurable business outcomes, such as qualified traffic, lead generation, and sustained visibility in competitive search results. This foundation allows businesses to benefit from compounding gains over time while avoiding the volatility associated with short-term or overly aggressive tactics.

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Seedtag Welcomes Brendan McCarthy as Chief Marketing & Communications Officer

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Seedtag Welcomes Brendan McCarthy as Chief Marketing & Communications Officer

Seedtag | Where Context Becomes Intelligence

Criteo CMO joins Seedtag to accelerate global growth 

Seedtag, the global Neuro-Contextual advertising company, announced today the appointment of Brendan McCarthy as Chief Marketing & Communications Officer. McCarthy will oversee Seedtag’s global marketing and communications strategy, supporting the company’s rapid international expansion while driving the evolution of privacy-first, Neuro-Contextual advertising across the open web and CTV.

McCarthy joins Seedtag following his tenure as Chief Marketing Officer at Criteo, where he helped transform the company’s positioning from a single-product point solution to the leading AI-centric commerce media platform. He brings more than  20 years of  strategic marketing and communications experience with Fortune 500 companies including Nielsen, Samsung and eBay, blending data, creativity and thought leadership to deliver measurable business impact.

Marketing Technology News: MarTech Interview with Omri Shtayer, Vice President of Data Products and DaaS at Similarweb

“At Seedtag, we believe the future of advertising isn’t about tracking people— it’s about understanding them,” said Brian Gleason, CEO of Seedtag. “Brendan brings the rare ability to turn vision into momentum and innovation into impact. As we expand Liz and our Neuro-Contextual platform globally, his leadership will help brands connect with audiences in more meaningful, measurable ways.”

McCarthy will lead a global team focused on advancing the company’s brand, driving demand, and aligning marketing and communications as an integrated growth engine. His appointment comes at a pivotal moment for Seedtag, following 46% year-over-year revenue growth in North America in 2025 and continued global momentum fueled by its proprietary AI platform, Liz.

“Seedtag has proven it can disrupt the status quo with a years-long track record of rapid growth in mature advertising markets,” said McCarthy. “I’m confident we can accelerate that momentum by aligning our brand and global communications to drive even more value for our clients. We have a unique opportunity to lead the category as the premier AI-driven partner for brands that value both innovation and consumer trust.”

Seedtag is the creator of Neuro-Contextual Advertising. Applying Liz, the company’s proprietary AI built on neuroscience, Seedtag decodes real-time interest, emotion, and intent to deliver relevant, privacy-first advertising across CTV, video, and the open web. Seedtag’s Contextual OS makes context the foundation of modern planning, helping brands build deeper connections that drive performance, while empowering publishers to maximize the value of quality content.

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XTM and Vistatec Launch Enterprise AI Content Globalisation Partnership

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XTM and Vistatec Launch Enterprise AI Content Globalisation Partnership

An end-to-end enterprise operating model built on XTM’s AI globalisation platform and delivered with Vistatec’s expertise.

XTM and Vistatec today announced the launch of an enterprise AI globalisation partnership. The partnership is designed to help organisations operationalise AI-driven global content as a production capability, with the governance, auditability, and expert delivery required to scale across teams, markets, and content types.

This introduces an end-to-end enterprise AI globalisation service built on XTM’s SaaS platform, with Vistatec providing expert translation services including implementation, governance, and optimisation support. The approach is designed for enterprises that need faster global execution without compromising brand control, compliance requirements, or operational visibility. In practice, this covers the full lifecycle of global content — from intake and governance through delivery, quality control, and reporting.

As AI moves from pilots to day-to-day production, time-to-market is increasingly tied to operational maturity. In many organisations, AI-enabled content and translation tools are being adopted independently across departments, which can increase volume but also introduce inconsistency, duplicated effort, and limited enterprise-wide oversight.

Marketing Technology News: MarTech Interview with Omri Shtayer, Vice President of Data Products and DaaS at Similarweb

Vistatec provides the expert services that help enterprises adopt and run the model successfully, including translation programme delivery, localisation engineering, governance frameworks for responsible AI, and ongoing optimisation. This supports structured rollout and continuous improvement aligned to brand, regulatory, and organisational requirements.

XTM provides the AI-driven globalisation platform — the enterprise system for orchestrating global content operations across teams, markets, and channels. The platform applies AI based on content type and risk level, embeds governance and audit trails, routes work between AI and human expertise, and provides reporting that links globalisation activity to cost, quality, and time-to-market.

“Enterprises are under pressure to scale global content fast, but most are operating with a patchwork of tools, teams, and providers,” said Lorcan Malone, CEO of XTM International. XTM provides the AI globalisation platform that orchestrates the full lifecycle — from content intake and governance to execution, quality control, and reporting. With Vistatec as a delivery partner, customers get an end-to-end operating model instead of managing multiple LSPs, disconnected workflows, and inconsistent standards.”

“This partnership gives enterprises a complete delivery cycle built around XTM’s platform, enhanced by Vistatec’s services across localisation engineering, AI governance, and ongoing optimisation. The result is one consistent model across teams and markets, with clearer visibility into outcomes,” commented Caroline O’Connell, Chief Revenue Officer, Vistatec.

Through the partnership, enterprises can:

● Launch faster while maintaining governance and auditability
● Scale AI globalisation with consistency across teams and markets
● Reduce rework and duplicated effort as content volume grows
● Gain visibility into global content cost, quality, and operational performance
● Position globalisation as a measurable growth enabler

“AI increases speed, but it also increases responsibility,” said Vistatec’s Chief Marketing Officer, Simon Hodgkins. “We support enterprises with governance frameworks, domain expertise, and structured adoption so they can adopt AI safely, deliver results, and keep trust at the heart of it.”

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Predactiv Introduces New Lookalike Modeling Feature In The Predactiv Data Platform For Advertising Success and New Product Development

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Predactiv Introduces New Lookalike Modeling Feature In The Predactiv Data Platform For Advertising Success and New Product Development

The new lookalike modeling capability enables companies to transform proprietary data into scalable, activation-ready audiences, new products, and incremental revenue streams, without the need for complex engineering or extensive in-house resources.

Predactiv announced the launch of Lookalike Modeling, a powerful new feature available in The Predactiv Data Platform. Lookalike Modeling was designed to offer clients a push button approach to a common data challenge. Previously, companies spent significant time and resources building models and scoring files. Predactiv now offers those same capabilities without the heavy lift.

With Lookalike Modeling, organizations can onboard proprietary data into The Predactiv Data Platform and quickly build a model that will find look-a-likes, at scale. The newly built audiences can be distributed for digital activation, leading to increased conversions. Our modeling solution enables advertisers to activate scalable, high-value audiences across omni-channel campaigns, from display to CTV, and drive measurable performance outcomes.

Marketing Technology News: Martech Interview with Meena Ganesh, Senior Product Marketing Manager @ Box AI

Turning Owned Data into Scalable Products

Many organizations own valuable first-party data, but lack the infrastructure or expertise required to model, expand, and commercialize it at scale. Predactiv Lookalike Modeling bridges that gap by enabling users to onboard their data directly into the platform and apply lookalike modeling to expand reach, strengthen signals, and increase the overall value of their data assets.

Through a simplified, guided workflow, users can:

  • Onboard single or multiple seed data securely into The Predactiv Data Platform
  • Automatically create modeled audiences using predictive intelligence and enrichment signals
  • Expand their data to a significantly larger addressable universe
  • Generate powerful audiences for advertising, activation, and analytics

The result could also be a new data product that leads to a new revenue stream.

“Many organizations sit on incredibly valuable data, but lack a practical way to turn it into scalable products,” said Dana Hayes, Jr., CEO of Predactiv. “With Lookalike Modeling, we’re removing that barrier. Predactiv gives data providers and data-rich organizations a faster, more accessible path to transform their owned data into expanded, high-value audiences, and ultimately into new, recurring revenue streams.”

Unlocking New Revenue Streams for Data Providers

For data providers in particular, Lookalike Modeling represents a direct path to monetization. By transforming owned datasets into expanded, modeled audiences, data providers can create differentiated advertising products that appeal to brands, agencies, and platforms seeking high-quality targeting signals.

Instead of selling raw data or limited signals, data providers can scale their data into products that enable them to break into new advertising and activation channels. In effect, Lookalike Modeling offers data providers the fastest path to incremental revenue. Predactiv is the infrastructure layer that enables organizations to evolve from data owners into data product companies.

Marketing Technology News: Feature-Rich to Functionally Effective: Adjusting your Martech Strategy

Early Access Now Available in The Predactiv Data Platform

Lookalike Modeling is now available through an early access program in which participants will gain hands-on access to the new capability. Early access partners will work closely with the Predactiv team to help shape the future of modeling-driven data monetization within The Predactiv Data Platform.

In addition, Predactiv can provide custom, managed service modeling solutions that meet the specific objectives of clients and data providers.

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Proofpoint Launches AI-Enabled Discovery & Archive Suite for Small to Medium Businesses

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Proofpoint Launches AI-Enabled Discovery & Archive Suite for Small to Medium Businesses

New Nuclei Suite delivers archiving, AI-driven communications intelligence and optional lexicon-free supervision in a single platform with cost-effective licensing

Proofpoint, Inc., a leading cybersecurity and compliance company, announced the global availability of Nuclei Discovery & Archive Suite, a new digital communications governance and archiving (DCGA) solution purpose-built for modern small- to medium-sized (SMB) organizations. Designed to address the growing regulatory, e-discovery, and operational challenges facing lean IT and compliance teams, the Nuclei Suite combines rapid deployment, powerful enterprise-grade functionality, and cost-effective subscriptions in a cloud-native platform.

“Organizations are frustrated by legacy archiving tools that are complex, expensive, and slow to deliver value,” said Harry Labana, senior vice president and general manager of Proofpoint’s Digital Communications Governance business unit.

As digital communications continue to expand across email, collaboration tools, mobile messaging and social platforms, SMBs are under pressure to retain, govern and investigate content without the staffing or budgets of large enterprises. According to the U.S. Chamber of Commerce, more than half of small businesses say navigating regulatory compliance requirements is negatively impacting their growth, and 47% say they spend too much time on compliance tasks.

The Nuclei Suite directly addresses these challenges with a streamlined experience that enables administrators to deploy the solution and begin capturing data in minutes. “Organizations are frustrated by legacy archiving tools that are complex, expensive, and slow to deliver value,” said Harry Labana, senior vice president and general manager of Proofpoint’s Digital Communications Governance business unit. “The Nuclei Suite delivers an AI-first simple-to-deploy solution that unifies archiving and communications intelligence, helping SMBs quickly identify risk, strengthen compliance and reduce operational overhead.”

Simple: Rapid Deployment and Streamlined Administration

Small- to medium-sized organizations often rely on lean resources to manage IT, security, and compliance. The Nuclei Suite is designed to be deployed in minutes, enabling organizations to quickly begin capturing data with minimal setup. A single, intuitive administrative interface provides a centralized view for managing users, policies, ingestion, and reporting, eliminating the need to navigate multiple consoles or products.

Proofpoint manages ongoing solution updates in collaboration with customers, reducing maintenance overhead. Organizations can also easily ingest legacy data and expand subscriptions to support additional users, digital communications channels, or archive storage as needs evolve.

Marketing Technology News: MarTech Interview with Omri Shtayer, Vice President of Data Products and DaaS at Similarweb

Powerful: Archiving and Communications Intelligence Without Enterprise Complexity

While smaller in size, these organizations still require advanced capabilities to support regulatory compliance and investigation readiness. The Nuclei Suite delivers self-service, enterprise-grade functionality, including:

  • Intuitive search to quickly locate and retrieve archived content
  • Litigation hold to preserve data against deletion
  • Data export without added export fees
  • Built-in reconciliation and reporting to track archive health and ingestion status

Unlike traditional supervision platforms built for large enterprises that rely on complex lexicons, manual tuning, and dedicated compliance teams, the Nuclei Suite also offers optional supervision designed specifically for SMBs.

Its AI-first communications intelligence, including agent-based analysis, identifies conduct, compliance and insider risks across digital channels without lexicon creation or ongoing rule maintenance. Uniquely integrated with Proofpoint Insider Threat Management, the Nuclei suite provides clear visibility into communications risk, strengthening oversight with faster deployment and lowering operational overhead compared to legacy solutions.

Cost-Effective: Transparent Licensing and Built-In Value

The Nuclei Suite is designed to help organizations do more with constrained IT budgets, offering a simple per-user, per-connection licensing model that supports capturing content from more than 80 digital communications channels. For organizations using Microsoft 365, a single connection includes support for Exchange email, Teams, OneDrive, SharePoint, Viva Engage, and Copilot.

Each subscription includes 10 gigabytes of pooled archive storage per user and connection, with the flexibility to add additional storage as requirements grow without complex pricing structures.

Proofpoint was recently named a Leader for the second consecutive time in the 2025 Gartner® Magic Quadrant™ for Digital Communications Governance and Archiving Solutions. Gartner evaluated 14 vendors for its October 2025 report and recognized Proofpoint as a Leader for its Ability to Execute and Completeness of Vision.

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Truecaller Expands Global Direct Ad Sales With New Exclusive Reseller Partnerships

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Truecaller Expands Global Direct Ad Sales With New Exclusive Reseller Partnerships

File:TrueCaller Logo.png - Wikimedia Commons

Truecaller today announced a series of exclusive regional reseller partnerships across Africa, MENA, Southeast Asia and India, marking a significant step in accelerating its global direct advertising sales strategy.

The initiative strengthens Truecaller’s ability to build direct brand relationships across high-growth markets and supports the company’s long-term ambition to scale a more diversified and resilient advertising business internationally

Truecaller has entered into three separate exclusive reseller agreements::

  • 365 Digital will serve as the exclusive reseller for Truecaller Ads in South Africa and Kenya
  • AnyMind Group will cover Ghana, Nigeria, MENA, and Southeast Asia
  • Integrated Media Tech will represent Truecaller Ads across India

Marketing Technology News: MarTech Interview with Omri Shtayer, Vice President of Data Products and DaaS at Similarweb

Together, these partnerships expand Truecaller’s international direct sales distribution, enabling brands and agencies to access premium, first-party data-driven mobile advertising solutions across key growth regions.

Fredrik Kjell, COO at Truecaller, said: “In 2025, we spent considerable effort on strengthening the fundamentals of Truecaller Ads’ direct sales capabilities, and I am pleased to announce these important reseller agreements. Truecaller’s internal sales function, combined with strong resellers in multiple regions, is a key component in our plan to grow our direct sales business.”

Strengthening Direct Sales Across High-Growth Regions

Truecaller today reaches around 150 million users outside India with a growth of 50 % since the end of 2023. The exclusive reseller agreements across Africa, MENA, and Southeast Asia increase the company’s local sales execution capacity in markets where digital advertising demand continues to expand.

By combining Truecaller’s global user base and brand-safe environment with established regional sales partners, the company enhances its ability to scale direct advertising revenue outside its core markets.

Expanding Direct Sales Coverage in India

In India, Integrated Media Tech will expand Truecaller’s direct sales coverage beyond metro regions, strengthening access to regional and mid-sized advertisers and broadening the company’s advertiser base in one of its largest markets.

These partnerships reflect Truecaller’s continued focus on strengthening its global monetization infrastructure. By expanding exclusive direct sales representation across multiple regions, the company advances its strategy to build a more diversified, scalable, and resilient advertising business.

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Ecer.com Powering the Mobile Evolution of B2B Trade

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Ecer.com Powering the Mobile Evolution of B2B Trade

Ecer Technology- Google Global Premier Partner,focus on foreign trade  promotion, digital marketing, Google promotion, search engine optimization.

The landscape of global B2B commerce is undergoing a profound migration. Orders are no longer confined to office desktops; instead, they are increasingly being finalized on smartphone screens. As trade shifts from fixed workstations to mobile spaces, “fingertip transactions” are becoming the new global standard. Leading this transformation is Ecer.com, which is leveraging technical innovation to reconstruct foreign trade business for the mobile era.

Eliminating Time Zones with 24/7 Responsiveness
In traditional trade, waiting across time zones often leads to lost opportunities, with inquiries sometimes taking over a day to receive a response.
Qingdao KaFa Fabrication Co., Ltd. targeting distant markets like South America, a 10-hour time difference previously meant average response times exceeded 18 hours, allowing competitors to intercept urgent orders.
By integrating with the Ecer.com mobile system, businesses can now utilize AI multi-language real-time translation and instant messaging. Personnel can receive alerts and reply instantly via their phones, with the system automatically matching professional terminology and translating text. This has successfully compressed average response times to under 10 minutes, turning the obstacle of time zones into a manageable variable.

Marketing Technology News: MarTech Interview with Omri Shtayer, Vice President of Data Products and DaaS at Similarweb

Building Trust Through the Screen
Trust remains the core element of B2B transactions, but traditional field inspections are costly and time-consuming. Ecer.com has solved this by integrating VR factory inspections, panoramic displays, and mobile video interactions directly into its platform.
 Global buyers can now “walk into” a factory site from anywhere to view equipment operation and quality control.
 Critical judgments that once took weeks of preparation for an international visit can now be made in a matter of hours.

One Phone, One Complete Business Cycle
Mobile technology is not just changing how partners talk; it is reconstructing the entire trade workflow. From searching for suppliers and online negotiations to remote factory audits and final order placement, ECER has integrated the complete foreign trade chain into a single mobile terminal.
This integrated closed-loop system means:
 Complex operations that previously required multiple platforms are now seamlessly connected.
 Enterprises can advance order processes efficiently without switching between tools.
 Response speed and digital capability have become the new benchmarks for global competition.

As the trade scene migrates from the desktop to the palm, the pace of global business is accelerating. The future of foreign trade competition no longer begins at a physical exhibition or ends with an email—it begins with a single tap on a screen.

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HYTN Announces Extension of Marketing Program

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HYTN Announces Extension of Marketing Program

HYTN.jpg

HYTN Innovations, a pharmaceutical manufacturer specializing in cannabis, announces, further to its news release on January 9th 2026, that it is extending its engagement of MCS Market Communication Service GmbH (“MCS”) to provide certain marketing and communications services.

The engagement is expected to commence on March 3, 2026, and continue for a period of approximately 60 days, or until the allocated budget is exhausted, subject to earlier termination or extension at the discretion of the Company. The services to be provided by MCS are expected to include the review and evaluation of existing marketing and communications materials, including the Company’s website and corporate presentation, the development of digital content and advertising materials, keyword optimization, project coordination, and media distribution services, with the objective of increasing general awareness of the Company and its business. MCS will execute these services through online platforms using demographic, geographic, keyword, and interest-based targeting to reach relevant investor audiences.

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MCS is arm’s-length to the Company. In consideration for the services, the Company has agreed to pay €50,000 to MCS. No securities of the Company will be issued as compensation, and to the knowledge of the Company, neither MCS nor any of its principals hold any securities of the Company.

MCS Market Communication Service GmbH is located at Saarlandstraße 28, 58511 Lüdenscheid, Germany; email: info@mcsmarket.de.

HYTN Innovations Inc. is a pharmaceutical company specializing in the formulation, manufacturing, marketing, and sale of products containing psychoactive and psychotropic compounds, including cannabis-derived cannabinoids. The Company focuses on serving federally regulated markets by applying pharmaceutical-grade development, manufacturing, and quality systems. HYTN advances products to market by identifying regulated market opportunities and leveraging its integrated development and commercialization platform.

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Wix Launches App in ChatGPT, Expanding Website Creation to one of the World’s Leading Conversational AI Platforms

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Wix Launches App in ChatGPT, Expanding Website Creation to one of the World’s Leading Conversational AI Platforms

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Users can now generate Wix Harmony websites directly within their ChatGPT conversations

Wix.com Ltd. a leading global platform for creating, managing and growing a complete digital presence, announced a collaboration with OpenAI to  launch the Wix app in ChatGPT. Built using OpenAI’s Apps SDK and powered by Wix’s Model Context Protocol (MCP), the app enables anyone to create a professional-grade Wix Harmony website directly within the ChatGPT interface.

Within ChatGPT, anyone can simply describe the website they want via text or voice and a fully functional, production-ready Wix Harmony website is generated instantly. From there, they can add relevant business capabilities, analyze performance, and implement changes, all through conversation. Existing Wix users can also connect and manage their business seamlessly within ChatGPT.

“With Wix Harmony we’ve redefined how people can build online, and now we’re extending that experience into ChatGPT,” said Shahar Talmi, GM of Developer Platform at Wix. “By adding another powerful entry point to Wix Harmony, we’re making it even easier for anyone to start, run and grow their online presence in the environments they already use every day.”

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“We want to help our customers use AI to solve problems and deliver genuine impact,” said Sanj Bhayro, Managing Director EMEA Sales at OpenAI. “Wix is a great example of the kind of real-world value apps can bring into ChatGPT, helping users go from an idea to a live online presence all in one place.”

To begin, anyone can start a ChatGPT prompt with “@Wix” and the Wix app will automatically surface within the chat.  Every website created through the Wix app runs on Wix’s enterprise-grade infrastructure, with built-in capabilities for commerce, scheduling, payments, SEO and GEO, accessibility, performance, security – and more, all  included by default. The website can then be accessed through the chat or through their Wix Business Manager.

Wix’s vision is to simplify complex technologies and deliver the best tools for every type of user and business to create online. Powered by advanced AI and enterprise-grade infrastructure, Wix is trusted by millions of users worldwide. Founded in 2006 and strengthened by the acquisition in 2025 of Base44, the no-code application platform, Wix is continuing to build for the future of the internet.

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First Large-Scale Study by AI Search Monitoring Platform OtterlyAI Shows YouTube is #2 Social Platform for AI Citations

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First Large-Scale Study by AI Search Monitoring Platform OtterlyAI Shows YouTube is #2 Social Platform for AI Citations

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First analysis of 100 million AI citations across six platforms shows AI search engines favor reference-style video content , and that platform citation behavior varies sharply

OtterlyAI, An AI search monitoring and optimization platform, published findings from its YouTube Citation Study 2026 , the first large-scale study to examine how YouTube content is cited across the six leading AI search platforms.

Derived from a dataset of more than 100 million AI citation instances collected over a 30-day period, the research reveals a clear pattern: AI search engines overwhelmingly cite long-form, reference-style YouTube videos, with Shorts accounting for just 5.7% of observed citations. The findings also show that popularity metrics , views, likes, and subscriber count , carry near-zero correlation with citation frequency, challenging a core assumption in content marketing strategy.

Marketing Technology News: MarTech Interview with Omri Shtayer, Vice President of Data Products and DaaS at Similarweb

Key Findings

  • YouTube is the second most-cited social media platform in AI Search, behind only Reddit. Across 5.5 million social media citations in the dataset, YouTube accounted for 31.8% of citation volume. Reddit led at 46.4%. Together, the two platforms represent 78.2% of all social media citations observed across the six AI search platforms analyzed.
  • AI search engines regularly cite YouTube videos that most audiences have never found. 40.83% of AI-cited YouTube videos had fewer than 1,000 views at the time of analysis. 36% carried fewer than 15 likes. Channel subscriber count showed a near-zero Pearson correlation with citation frequency (r = −0.03), consistent across all channel sizes. The median cited channel had fewer than 41 total videos. OtterlyAI’s working interpretation: AI citation behavior resembles reference selection more than recommendation , favoring topic fit and structural clarity over audience scale.
  • Long-form video accounts for 94% of AI citations. Shorts account for 5.7%. The largest single citation cluster fell in the 10–20 minute range (32.1% of cited videos), followed by 5–10 minutes (26.1%) and 20 minutes or longer (17.6%). Within the small share attributed to Shorts, citations were concentrated almost entirely within Google’s AI surfaces , with negligible inclusion from ChatGPT, Perplexity, Copilot, or Gemini.
  • Platform behavior is highly fragmented , and strategically consequential. Perplexity (38.7% of total YouTube citations) and Google AI Overviews (36.6%) drive the large majority of YouTube citation volume. ChatGPT contributes just 4.4%. Gemini and Microsoft Copilot each account for less than 1%. Microsoft Copilot’s social citation behavior diverges sharply from all other platforms: LinkedIn accounts for 43.8% of its social media citations , more than Reddit and YouTube combined , consistent with Microsoft’s product ecosystem.
  • Timestamped YouTube videos function as multi-citation assets , exclusively within Google’s AI surfaces. Of all timestamped citations in the dataset, 73% appeared in Google AI Overviews and 27% in Google AI Mode. No timestamped YouTube citations were observed in ChatGPT, Perplexity, Microsoft Copilot, or Gemini during the observation window. Among timestamped videos cited by Google’s AI platforms, 78% were cited more than once , typically across two to five distinct chapters , multiplying citation surface area from a single video asset. Only 31% of cited videos contained timestamp or chapter-style structure, suggesting significant optimization upside for publishers targeting Google’s AI surfaces. 

Why AI Search Visibility for YouTube Content Matters Now

Multiple independent studies have documented measurable click-through rate declines when AI-generated summaries appear in search results, as answers are delivered directly inside the interface rather than directing users to source pages. For brands relying on organic search traffic, this shift elevates the strategic value of being cited as a source inside an AI-generated answer , rather than ranking below one.

YouTube, with more than 2.7 billion monthly active users, is already among the most frequently cited domains in AI-generated responses. What this study adds is precision: citation behavior in AI Search does not mirror YouTube’s engagement-based ranking signals. A structured video with a descriptive title, clear chapters, and a keyword-aligned description can be cited in AI Search regardless of view count or channel size. A high-traffic video with no structural metadata may not appear at all.

Description length (r = 0.31) and hashtag presence (r = 0.20) emerged as the only metadata variables with meaningful , though still modest , positive relationships with repeated citation frequency. All popularity signals registered at or near zero.

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LumeFlow AI Integrates Seedance 2.0 and Nano Banana 2 to Boost Content Creation

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LumeFlow AI Integrates Seedance 2.0 and Nano Banana 2 to Boost Content Creation

LumeFlow AI expands its all-in-one dashboard with the latest next-gen video and image models, alongside advanced Motion Mimic and Lip Sync precision tools.

LumeFlow AI, the one-stop AI content generation platform, has expanded its all-in-one dashboard with the latest next-gen video and image models: Seedance 2.0 for video and Nano Banana 2 for high-fidelity imagery. This major update is accompanied by the release of Motion Mimic and Lip Sync, a dual-tool suite designed to bridge the gap between simple AI generation and professional-grade video production.

With this release, LumeFlow AI further strengthens its strategy of integrating multiple leading AI models into a single dashboard, enabling creators to access cutting-edge technology without maintaining multiple subscriptions.

Expanded Video Generation Capabilities with Seedance 2.0 & Kling 3.0

Seedance 2.0 has recently drawn industry attention for its multimodal input capabilities and its handling of motion-rich scenes. Public demonstrations suggest strengths in dynamic movement rendering and scene composition. While the model’s standalone global access remains limited, LumeFlow AI provides users with integrated access within its platform environment.

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Kling 3.0 further improves physical motion realism, cinematic camera dynamics, and character consistency, demonstrating enhanced continuity in short-form visual storytelling and conceptual advertising use cases.

By consolidating these engines alongside Sora 2 and Veo 3.1, LumeFlow AI positions itself as a centralized interface for experimentation and production, particularly at a time when creators often navigate fragmented AI tool ecosystems.

Upgraded Image Generation with Nano Banana 2

On the visual front, LumeFlow AI has adopted Google’s latest Nano Banana 2 model. Built on the Gemini 3.1 Flash architecture, this model delivers “pro-level” quality at lightning speeds.

  • Real-World Knowledge: Grounded in real-time web information, Nano Banana 2 produces highly accurate renders of trending subjects and complex data visualizations.
  • 4K Precision: Supporting resolutions up to 4K, the model provides the high-texture fidelity and lighting control necessary for professional storyboarding and marketing design.

Precision Control AI Tools: Motion Mimic and Lip Sync

To move beyond “random” AI outputs, LumeFlow AI has introduced two critical production features:

  • Motion Mimic: This feature allows creators to upload a source video to act as a “motion template.” The AI extracts specific movement patterns—such as a specific dance or camera pan—and applies them to the generated content.
  • Lip Sync: This tool provides automated alignment of speech audio with character facial movements. Supporting multiple languages and accents, it is an essential solution for creators producing virtual spokespeople, localized advertisements, and educational content.

The LumeFlow Advantage: Speed and Accessibility

In a field where new models are released almost weekly, LumeFlow AI’s core differentiator is its fast integration strategy. The platform’s flexible architecture ensures that when a breakthrough like Seedance 2.0 or Kling 3.0 occurs, creators gain access within days, not months. This allows brands and independent artists to stay at the absolute forefront of AI trends without the burden of multiple recurring subscriptions.

LumeFlow AI is an AI content creation platform that integrates multiple video and image generation models into a unified dashboard. Serving creators, marketers, and creative teams, the company focuses on reducing tool fragmentation while enabling early access to emerging AI technologies. LumeFlow AI continues to expand its ecosystem in response to the rapidly evolving generative AI landscape.

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MarTech Interview with Punit Shah, Director of Product Marketing @ PubMatic

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MarTech Interview with Punit Shah, Director of Product Marketing @ PubMatic

Punit Shah, Director of Product Marketing at PubMatic comments on the future of marketing in view of how AI driven marketing automation is setting new standards in this MarTech Series catch-up:

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Take us through your time in the martech ecosystem and more about your role at PubMatic.

I’ve spent over 15 years working at the intersection of strategy, analytics, and large-scale digital platforms — across consulting, enterprise technology, and now advertising infrastructure.

What has consistently drawn me to this space is that ad tech isn’t just about media delivery; it’s about market architecture. It shapes how brands connect with consumers, how publishers monetize content, and how transparency and trust scale across the open internet.

Over the years, I’ve worked across commerce enablement, brand safety, political advertising transparency, and AI-driven automation. A consistent lesson has emerged: when you improve the intelligence layer of infrastructure, you fundamentally improve decision quality.

At PubMatic, I lead developing and marketing products across AI-driven analytics, performance solutions, curation, and vertical specific initiatives such as political and pharma ads. Increasingly, my focus is on agentic AI, building systems that move beyond static workflows to fast, contextual reasoning, and translating that into measurable outcomes for publishers and buyers globally.

We’d love the top highlights on your recent AI Insights launch — how does it enable end users?

Much of AI in ad tech has historically been incremental, summarizing dashboards or automating isolated tasks. The more meaningful shift is architectural with AI.

With AI Insights, we focused on structuring data from the ground up so the system can reason across signals rather than simply display them. That enables real-time benchmarking against relevant peer sets, detection of demand shifts, and surfacing of next-best actions directly within the workflow.

The shift is assisted, automated, and agentic decision-making.

For example, during election cycles, publishers with political inventory often see volatile demand patterns across geographies and content categories. AI-driven benchmarking can highlight where pricing strategies or packaging approaches are underperforming relative to comparable publishers, where is the demand coming from across PACs, geographies and enabling faster, data-backed adjustments while maintaining policy and transparency standards.

The broader vision is agentic workflows, where AI doesn’t just summarize information but helps operators navigate complexity with context. As more structured signals are integrated, the value compounds directly to growth and profitability.

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What’s trending in the CTV space today? What will dominate the market in 2026?

CTV is increasingly being treated as performance-grade media with premium storytelling layered on top.

Today, we’re seeing stronger demand for transparent supply paths, growth in curated marketplaces, tighter alignment between CTV and commerce signals, and more scrutiny around measurement consistency.

The deeper shift is sophistication. Buyers are no longer optimizing for scale alone; they’re optimizing for validated, structured supply.

By 2026, three forces will likely define the market. First, AI-driven optimization across CTV supply, dynamically adjusting pricing and packaging in real time. Second, outcome-based evaluation, where campaigns are judged by business impact rather than impressions alone. And third, intelligent curation, where inventory is transacted based on contextual quality and performance intelligence rather than volume.

CTV will increasingly operate like high-quality programmatic performance media, while retaining the creative power that makes it distinct.

What are some top tips publishers should keep in mind as martech and ad tech evolve?

Three priorities stand out.

First, build structured data foundations. AI and automation only deliver value when signals are clean, interoperable, and contextualized. This sometimes needs to be built from the ground up.

Second, operationalize transparency. Across political advertising, brand safety, and CTV, transparency increasingly drives premium demand and long-term trust.

Third, adopt AI with intent. The goal isn’t full automation; it’s embedding AI-assisted reasoning into workflows so human operators can make faster, higher-quality decisions.

Publishers that combine premium environments with intelligent, structured supply will lead the next phase of programmatic growth.

How is AI fueling a complete shift in the industry?

AI is reshaping ad tech across three dimensions.

It reduces operational friction in reporting and campaign management. It amplifies intelligence by identifying patterns across supply and demand. And most importantly, it begins to influence market design, enabling adaptive packaging, dynamic pricing strategies, and predictive optimization at scale.

The real shift isn’t speed; it’s decision quality. Markets become more data-native and less intuition-driven.

But this only works when AI is built on structured data foundations and clear governance. The companies investing architecturally, rather than layering AI superficially, will define the next decade of digital advertising.

Five ad tech and martech thoughts you’d leave our readers with before we wrap up.

  • The future of media is curated and intelligent, not infinite and opaque.
  • AI will augment expert operators before it replaces them.
  • CTV will demand performance-grade accountability.
  • Transparency will increasingly correlate with revenue performance.
  • Infrastructure innovation will quietly determine which ecosystems lead.

PubMatic AgenticOS in Action | 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 Punit Shah

Punit Shah is a global product marketing and go-to-market leader specializing in AI-driven analytics, programmatic curation, and regulated advertising innovation. At PubMatic, he leads product strategy and market expansion for the company’s AI and next-generation analytics portfolio, driving adoption and revenue growth across international markets.

ALL3D Launches New AI Platform to Scale Product Lifestyle & Environmental Imagery

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ALL3D Launches New AI Platform to Scale Product Lifestyle & Environmental Imagery

Hooker Furniture is the first brand partner to leverage ALL3D’s AI Images platform to generate brand-consistent lifestyle images

ALL3D, the e-commerce product visualization platform founded and led by Amra Tareen, announces the launch of ALL3D AI Images, a next-generation solution built on years of best-in-class AI & 3D development. The platform enables brands and retailers to create high-quality, brand-consistent lifestyle and environmental imagery for ecommerce and marketing, dramatically accelerating content creation while reducing cost, time, and environmental impact of physical samples, photoshoots, and logistics.

ALL3D AI Images combines multiple leading image-generation models with its proprietary middleware to create realistic lifestyle imagery from existing product assets and creative inspiration. The scalable platform supports team collaboration and increases content output while maintaining brand control and visual accuracy. It allows precise editing, automated brand guideline enforcement, and 3D-aware accuracy in scale, perspective, lighting, and multi-product composition in just minutes.

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“With ALL3D AI Images, brands can create immersive, on-brand visuals while streamlining their content production workflows,” said Tareen. “Our platform complements the creative traditions companies have established while unlocking greater speed, flexibility, and sustainability in how visual content is produced.”

Hooker Furniture, a premier global manufacturer of residential, hospitality, and contract furnishings, is the first brand to partner with ALL3D on the AI Images platform for ecommerceALL3D AI Images enables Hooker Furniture to accelerate go-to-market timelines and streamline content production for ecommerce. The platform supports custom imagery for retail partners, alignment with new social and marketing campaigns, and seamless integration of new products into multi-product layouts.

“We use ALL3D’s AI images to supplement our long-standing tradition of on-location photography for ecommerce,” said Jeremy R. Hoff, Chief Executive Officer, Hooker Furnishings Corporation. “We have watched Amra grow her business from 3D CGI to AI and right now, we believe they are the best available provider for our needs as it relates to 3D CGI & AI product visualization for ecommerce.”

This partnership underscores both brands’ shared commitment to innovation and elevating the customer shopping experience, as the furniture and home furnishings industry adapts to faster product cycles and an increasingly diverse mix of retail and ecommerce.

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8×8 Recognized at Asian Telecom Awards 2026 for Advancing Real-Time SMS Fraud Protection

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8x8 Recognized at Asian Telecom Awards 2026 for Advancing Real-Time SMS Fraud Protection

8×8, Inc., a leading global business communications platform provider, won the Cybersecurity Initiative of the Year – Singapore award at the Asian Telecom Awards 2026. The award recognizes 8×8 Omni Shield, a real-time SMS fraud mitigation capability designed to help enterprises detect suspicious traffic patterns and reduce financial exposure.

As SMS-based fraud and artificial traffic inflation continue to rise globally, enterprises face increasing pressure to safeguard customer communications without disrupting legitimate messaging. 8×8 Omni Shield addresses this challenge by embedding fraud detection controls directly into 8×8 Connect, a component of the 8×8 Platform for CX. By enabling organizations to monitor messaging activity and identify anomalies, they are enabled to take immediate action within a unified, no-code interface.

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During early-stage deployments, 8×8 Omni Shield identified more than 85% of fraudulent SMS traffic while maintaining reliable message delivery for authorized communications. This initial performance demonstrates the solution’s ability to support operational teams with configurable alerts, automated suspension controls, and traffic visibility tools that help reduce response times during active threat scenarios.

“Organizations require fraud prevention solutions that are both effective and operationally practical,” said Sylvain Chaperon, General Manager, CPaaS at 8×8, Inc. “This recognition reflects our focus on delivering embedded protection capabilities that allow businesses to safeguard their messaging channels without significantly adding technical complexity or introducing major external dependencies.”

8×8 Omni Shield is part of 8×8’s broader security framework supporting the 8×8 Platform for CX. The solution integrates with identity verification workflows to strengthen authentication processes and mitigate risks such as unauthorized account access and one-time password exploitation. In addition, 8×8 Silent Mobile Authentication leverages mobile network verification to validate user identity without relying solely on SMS-based authentication methods, helping reduce exposure to SIM-swap fraud.

The Asian Telecom Awards recognize telecommunications providers across the Asia-Pacific region for innovation, infrastructure development, and contributions to advancing secure digital communications. This recognition underscores 8×8’s ongoing investment in building resilient communications infrastructure that enables enterprises to scale engagement while protecting customer trust.

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Unifyr Appoints Holger Schneider as CPO to Accelerate Value Creation and Scale Customer Growth

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Unifyr Appoints Holger Schneider as CPO to Accelerate Value Creation and Scale Customer Growth

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Unifyr announced the appointment of Holger Schneider, joining the company as Chief Product Officer to help customers turn product into measurable profit and growth. His focus will be on sharpening product strategy around real customer outcomes, accelerating product-led value creation, and strengthening monetization, retention and expansion across the platform.

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For our customers, success means faster time-to-value, higher adoption, stronger retention, and a scalable growth engine built around real business impact.

Together with Co-CTOs, Lionel Farr and Philip Juchert, Holger will align Product, Engineering, Design, Data, Marketing, Sales, and Customer Success around one core principle: helping customers activate faster, realize value sooner, and scale their growth with confidence.

His priorities include:

  • Delivering clearer positioning and stronger value propositions across our core verticals
  • Building a seamless product-led and sales-assisted journey
  • ⁠Enabling smarter pricing and packaging aligned to customer success
  • ⁠Driving expansion through adoption and measurable outcomes
  • ⁠Elevating product marketing, messaging, and competitive differentiation for our customers

For our customers, success means faster time-to-value, higher adoption, stronger retention, and a scalable growth engine built around real business impact.

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Postman Unveils a New Era for AI-Native API Development

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Postman Unveils a New Era for AI-Native API Development

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New capabilities embed AI directly into development workflows and introduce API Catalog as a central system of record for all APIs and services

Postman, the world’s leading API platform,  announced a significant evolution of its platform, introducing AI-native, git-based API workflows and API Catalog, a central system of record that provides a single view of APIs and services. With this release, Postman enables more than 40 million developers from 500,000 organizations to accelerate API development with AI embedded directly into the core—while preserving existing enterprise workflows, delivering centralized visibility, and meeting modern security demands.

AI is rapidly reshaping how software gets built. According to Postman’s latest State of the API Report, 89% of developers already use AI. However, many organizations still rely on external AI tools instead of embedding them directly into development platforms, limiting their impact.

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To close this gap, Postman’s latest innovations are based on a core belief: AI must be native to the API platform, not bolted onto it. Instead of operating as a standalone assistant, Postman’s intelligence layer runs inside the platform with full visibility into specs, tests, environments, and real production behavior. With Postman’s Agent Mode, developers can understand APIs, execute changes, diagnose issues, and apply updates while operating inside existing governance controls, transforming how teams build and scale services.

“The world’s APIs are built and shipped on Postman, and we believe AI should live inside the platform—not alongside it,” said Abhinav Asthana, co-founder and CEO of Postman. “We’ve re-architected our foundation around that principle, delivering intelligence that operates with deep context across the full spectrum of API workflows. As teams move from experimenting with AI to operationalizing it, Postman provides the bedrock that lets them scale API and agentic projects with confidence.”

At the center of this evolution is API Catalog, Postman’s central system of record for APIs and services delivering enterprise-wide visibility and governance. API Catalog offers a real-time view of which APIs and services exist, how they’re performing, and who owns them. By grounding AI capabilities in this authoritative source of context, Postman enables teams to operate with greater visibility, accountability, and governance at scale.

Additional new AI-native capabilities include:

  • Native Git workflows to manage API specs, collections, tests, mocks, and environments directly in developers’ Git repos and local filesystems
  • AI-powered coordination with Agent Mode across specs, tests, and mocks to automate multi-step changes with broad workflow context—including input provided by MCP servers from Atlassian, Amazon CloudWatch, GitHub, Linear, Sentry, and Webflow—while keeping every change version and reviewable
  • Integrated API distribution to publish documentation, workflows, sandboxes, and SDKs in one place

“With Postman’s Agent Mode, developers can coordinate API changes and leverage the Atlassian Rovo MCP server to bring in shared context from the Atlassian tools they already rely on, such as Jira and Confluence, to plan and ship software,” said Josh Devenny, Head of Product for Rovo Skills at Atlassian. “Agentic workflows like these help teams move faster while building, testing, documenting, and troubleshooting APIs, with higher governance and security.”

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QYOU Launches QYOU Amplify, a Performance Media Business Unit Built to Scale Creator Campaigns

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QYOU Launches QYOU Amplify, a Performance Media Business Unit Built to Scale Creator Campaigns

New business unit formalizes QYOU’s approach to scaling creator-led campaigns across paid and organic channels

QYOU Media Inc. a creator marketing and performance media company operating in North America and India producing and distributing social media marketing content for leading brands, announced the launch of QYOU Amplify, a new business unit dedicated to scaling creator and influencer content through paid media, advanced targeting and performance analytics.

As brands allocate a growing share of marketing budgets to social and creator aligned media, they are embedding paid distribution directly into creator campaigns to extend reach, enhance targeting precision and unlock greater performance efficiency. QYOU Amplify was built to support this evolution.

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QYOU Amplify ensures the right creator content reaches the right audience at the right time, with the ability to optimize in real time. Because QYOU integrates creator strategy, creative development and media distribution from inception, the company can identify breakout content early, shift investment quickly and scale what is performing, maximizing media efficiency and extending the life of high-impact storytelling.

Rather than treating influencer marketing as a standalone tactic, QYOU Amplify transforms creator content into a full-funnel growth driver, supporting awareness, consideration and conversion through precision targeting and continuous optimization.

“Creator marketing has matured, and brands expect it to perform like every other core media channel,” said Glenn Ginsburg, President of QYOU. “QYOU Amplify reflects how we have evolved, integrating creative, creators and media from the start so client investments work harder and drive measurable business outcomes.”

QYOU Amplify formalizes QYOU’s paid media and analytics capabilities, uniting certified media buyers, platform expertise and structured campaign measurement into a scalable offering. By applying data and platform intelligence to distribution decisions, not just reporting on them, QYOU helps brands move at the speed of culture while maintaining performance accountability.

Marketing Technology News: From MarTech Stack to MarTech Fabric: Weaving Brand, Content, and Conversion Into One Thread

The launch builds on QYOU’s recent announcement as a Badged TikTok Agency Partner and strengthens its integrated model, aligning creator strategy and media execution to meet the growing demand for performance-led influencer marketing.

Peggy Lin, currently VP of Account Management and Planning, has been promoted to General Manager to lead QYOU Amplify. In this expanded role, she will continue to oversee the integrated paid practice, playing a central role in evolving influencer marketing from a top-of-funnel engagement tool into a measurable driver of ROI.

“The platforms evolve daily, and so do client expectations,” said Lin. “Because we are embedded in the day-to-day with creators, we can see performance signals immediately and act on them. We know when to boost, when to pivot and when to reallocate spend to maximize impact. That level of agility ensures our clients’ media investments go further.”

With QYOU Amplify, QYOU deepens its commitment to performance accountability, aligning creator strategy and paid media within a unified operating model designed to drive both cultural relevance and measurable commercial impact.

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