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Fluid viewers, fixed budgets: what real-world TV data reveals about modern TV viewing

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Fluid viewers, fixed budgets: what real-world TV data reveals about modern TV viewing

Samsung Ads - IAB Canada

Samsung Ads’ Behind the Screens 2026 report, built on first-party TV data, reveals shifting behaviours across the total TV ecosystem – linear, streaming, gaming and the home screen

Fragmentation in Connected TV viewing is not a passing trend – it is the new normal. And audiences are no longer experiencing CTV as a collection of separate services, but as a single, continuous viewing experience across numerous apps – all radiating out from the CTV home screen.

Those are among the conclusions of the latest edition of the Samsung Ads annual Behind the Screens report. Drawing on first‑party insights from over 70 million Samsung smart TVs in Europe, and complemented by custom consumer research, the report finds that viewing habits have taken on a fluid new form that more closely resembles our smartphone use than the channel-hopping of television’s linear past.

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Behind the Screens 2026 sets out the new realities for brands on keeping pace with a highly fragmented audience – who may be sitting on their sofas, but are still on the move.

Among its key insights:

  • Five apps on average were used per household across 20251,  while total app launches rose by 8% year over year to 18.4bn in 2025.5 Fragmentation is no longer just about more services—it reflects audiences actively spreading their attention across a wider range of platforms.
  • Younger viewers are the most fragmented, using 21% more apps on average1 and moving fluidly between subscription and free platforms. They have even less platform loyalty, following content rather than services.
  • No single environment captures the full CTV audience: 24% of Samsung TVs make up 81% of all linear viewing, while 27% of Samsung TVs stream and never watch linear.
  • The home screen has emerged as a primary moment of influence. It is the central point viewers return to throughout their journey—accessed more than five times per day—as they switch on their TV and continue to app-hop. Nearly nine in 10 respondents use the home screen to decide what to watch next.

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The report captures a market where viewing habits are rapidly evolving to accommodate an ever-expanding array of entertainment. In Q1 2026 alone, over 650 football matches from Europe’s top leagues competed for attention alongside more than 100,000 unique titles on the top SVOD platforms and 90 new gaming releases. More shows, more sport, more streaming, more gaming- all competing for the same screen.

With a vast and growing range of apps and viewing options, audiences are no longer loyal to platforms – they follow content seamlessly across a highly competitive CTV ecosystem that spans streaming, gaming, and linear viewing.

Against this saturated backdrop, the home screen has become a vital fixed point. It is the primary discovery moment for content, and a valuable opportunity to capture attention before it inevitably fragments.

“Fragmentation is no longer a trend – it is the reality of today’s TV landscape. Younger audiences, in particular, are driving this shift, using over 20% more apps on average and moving fluidly between subscription and free platforms,” said Matt Bryan, Director of Analytics & Insights at Samsung Ads. “As viewers follow content rather than platforms, linear, streaming, and gaming have become interconnected parts of a much more complex ecosystem. For advertisers, this creates an opportunity to plan with a more holistic view of the TV landscape. Solutions like TotalView™ are making it possible to understand true reach and invest with greater precision.”

Among the other insights of Samsung’s Behind the Screens 2026 report are:

Viewing choices are led by apps, not channels. More than 8 in 10 consumers say content drives their app choices: prioritising freshness, exclusivity and relevance.

Streaming app use varies significantly. Most viewers have multiple subscriptions at once, each serving a distinct content need. Within those subscriptions, viewers move freely, switching between services in search of what fits the moment. The average household uses five apps on average. Of those surveyed:

  • 60% keep multiple subscriptions all year round.
  • 18% rotate between services depending on what’s available.
  • 14% mostly use free or ad-supported platforms.
  • 8% only subscribe occasionally for specific shows or events.

TV is still a social event. The living room remains a shared space, with co-viewing the norm across linear and streaming. Linear and streaming viewership peaks at 7pm, while UGC viewership drops away as viewers favour a more shared, big screen experience for prime time viewing.

Gamers are a highly receptive but consistently under-served audience for advertising – they are 88% more likely than average to follow home screen recommendations and 135% more likely to look up products in TV ads. When they watch TV, they rarely watch alone: 72% of gamers watch in groups of two or more, and they are nearly three times more likely than average to watch TV in groups of three or more.

Samsung Ads, a division of Samsung’s media & services business, harnesses the power of data, technology and scale to create a seamless advertising experience that amplifies brand stories across an ecosystem of devices. Leveraging its unique position with over 70 Million devices in Europe, Samsung Ads delivers high-impact, targeted advertising solutions across multiple screens, enabling brands to reach audiences in the moments that matter. Samsung Ads – where technology meets creativity to deliver advertising experiences that captivate and inspire. Launched in 2015, Samsung Ads has offices in the US, UK, Germany, France, Italy, Spain, Australia, New Zealand, India, Brazil & Mexico and South Korea.

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OpenAI and Meaghan B Murphy Discuss How ChatGPT Can Make Everyday Life a Little Easier with YourUpdateTV

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OpenAI and Meaghan B Murphy Discuss How ChatGPT Can Make Everyday Life a Little Easier with YourUpdateTV

Nationwide media tour conducted by OpenAI in conjunction with D S Simon Media on the topic of how ChatGPT is becoming the Go-To tool for getting through the day

It’s no secret that more people are finding simple, practical ways to use AI in their daily routines.

Artificial Intelligence is quickly becoming part of how individuals plan, decide, and stay on top of daily life. Many don’t realize all the ways it can be used.

With more than 900 million weekly users, ChatGPT has rapidly become the go-to personal assistant for people who need to move faster, stay organized, and reduce daily friction. Yet millions of Americans haven’t tried it or don’t realize how immediately useful it can be.

This is no longer about “trying AI.” It’s about how to use it to its fullest so you can get time back in your day.

From answering quick questions and organizing to-do lists to planning travel, workouts, or daily logistics, ChatGPT helps people move through their day with less effort and more clarity.

This segment shows exactly how to start using it immediately, with simple, repeatable habits anyone can adopt, whether you’ve never tried it or only used it once.

Meaghan B Murphy, ChatGPT power user and mom, answered some of the top questions related to how to start using ChatGPT today.

For people who haven’t tried ChatGPT yet, or maybe feel a little hesitant, what do you think they should know?

If you’re feeling a little hesitant about using AI, I’m here to tell you that it’s something I use every single day. It’s become like a personal assistant for me.

Technology has always been about making our lives easier and giving us an edge, and that’s exactly what AI can do. The best part is that you don’t need to be especially technical to learn how to use it.

What things should someone start using ChatGPT for today to immediately make their life easier and more in control of their day?

You just start by asking a question.
Here’s where I would begin: ask yourself, “What could I use a little help with?” What’s a mundane, everyday task that creates mental load or takes up more time than you’d like? That’s the perfect place to start.

Think about how you might outsource that task to ChatGPT. For me, it’s meal planning. I have a family of five and three kids to feed, but I don’t particularly enjoy figuring out what’s for dinner every night. That’s where ChatGPT comes in.

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I’ll open the refrigerator and say, “I have leftover rotisserie chicken, kale, and red onion. What can I make for dinner?” The other day, I was cooking basmati rice and it turned out too watery. I snapped a photo, uploaded it to ChatGPT, and it told me exactly what to do—put the lid on, lower the heat, and dinner was saved.

So, think about the everyday tasks where a little assistance could go a long way. Maybe it’s preparing for a job interview. Maybe it’s organizing your finances. Maybe it’s figuring out seating arrangements for a baby shower. My cousin recently used ChatGPT to create a seating chart for a baby shower where several guests didn’t get along—and it worked beautifully.

It’s these kinds of everyday challenges where ChatGPT can be incredibly helpful. As a busy working mom of three, I use it constantly to help manage my daily to-do list.

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It might be helping me draft an email to a school administrator when I want to strike the right balance between being firm, kind, and professional. It might be reviewing a contract and highlighting areas that deserve a closer look. Or, once again, helping me in the kitchen with meal planning.

When you start thinking of it as a practical everyday tool rather than a piece of technology, that’s when you really begin to see its value.

How can people use ChatGPT to plan trips, events, and packed schedules?

Travel and ChatGPT go hand in hand.

In fact, I’m currently using ChatGPT to help plan the Murphy family vacation. I’ve entered the one week we have available to travel in July, along with our budget, and it’s helping me compare destinations like Maine, Colorado, and Dublin.

ChatGPT can help create itineraries, build packing lists, and make travel planning much easier. Once you’re on your trip, the image feature can be especially useful. You can snap a photo of a building and ask, “Where am I?” or “What is this landmark?” You can even use it to find the best local coffee shop or discover nearby attractions.

There are so many practical ways to use ChatGPT while traveling. It’s like having a travel agent and a tour guide in your pocket.

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MWM AI Partners with Google Cloud to Launch New Mobile Agents for App Creators and Entrepreneurs

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MWM AI Partners with Google Cloud to Launch New Mobile Agents for App Creators and Entrepreneurs

Google Cloud Logo

MWM, the mobile technology company with over one billion downloads, partners with Google Cloud to launch the “AI Mobile Squad” with Gemini Enterprise.

The Squad includes a team of Designer, Product Manager, and Developer agents that turns a prompt into a production-ready native iOS and Android app in under three minutes.

MWM, a leading mobile app publisher with more than 1 billion downloads, and Google Cloud announced the launch of the AI Mobile Squad, the next evolution of MWM AI, using Gemini Enterprise.

Replacing the MWM AI’s previous generalist AI experience, the AI Mobile Squad is a coordinated team of three specialized AI agents – a Designer, a Product Manager, and a Developer – all working in sequence as one team. Built on Google Cloud’s Gemini models, including Nano Banana, and working with the Gemini Enterprise Agent Platform, the AI Mobile Squad gives 500 million creators, solopreneurs, and SMBs worldwide an entire mobile product team on demand.

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Hire a Mobile Team, Not Just an Agent

When MWM AI launched in February, it proved that anyone could turn a prompt into a native iOS app in minutes. But shipping a real mobile app business has never been a one-person job. It takes a product manager to scope it, a designer to define the experience, and a developer to write code that meets Apple and Google standards.

Built on the Gemini Enterprise Agent Platform, three specialized AI agents are now available:

  • The Product Manager agent conducts the discovery interview, defines the product vision, and produces a precise product brief that frames the entire build.
  • The Designer agent takes the Product Manager’s brief and crafts a complete mobile design system, produces every screen as a production-ready mockup, and creates App Store-ready icons, validating the UI before any code is written, with an average time-to-first-design of under three minutes.
  • The Developer agent ships production-grade SwiftUI apps for Apple and Kotlin apps for Android platforms. MWM AI is the one of the only AI app builders that ships in the two native languages Apple and Google use to write their own operating systems.

The three agents share context and work in sequence, replacing the trial-and-error cycle of single-agent builders with the discipline of a real product team.

Each agent is safely grounded in 14 years of MWM’s proprietary mobile data, 70+ shipped apps, 1 billion downloads, distilling design systems, monetization architectures, and growth patterns that no general-purpose AI can replicate. Where vibe-coding tools learn from the public web, the AI Mobile Squad inherits the patterns of a portfolio already winning at scale.

Today’s reveal is the foundation of a larger ambition for MWM. Over the coming months, additional agents covering App Store optimization, paid acquisition, growth, QA, and customer support will progressively extend the Squad, bringing every stage of building a mobile app business into one workspace, backed by MWM’s 14 years of mobile expertise.

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Using Google Cloud full stack approach to AI

The AI Mobile Squad runs on Google Cloud’s full AI stack in an open manner. The Gemini Enterprise Agent Platform acts as the critical orchestration engine, managing the seamless handoffs and shared context between the specialized agents to ensure a cohesive and efficient development process. Gemini, including its latest Gemini 3.5 version, fuels the reasoning and cross-agent context that ties the AI Mobile Squad together and Nano Banana drives high-fidelity image generation across the Designer agent’s mockups and icon studio.

Cloud Run, Cloud Spanner, and Google Cloud Storage enables MWM AI’s real-time WebSocket orchestrator, mobile build farm, and user workspaces across three regions: Europe, the United States, and Asia-Pacific.

This integrated approach is supported by Google Cloud’s AI-optimized architecture, which provides the high-performance, scalable infrastructure necessary to coordinate the Squad’s complex reasoning and real-time development workflows.

As a result, the AI Mobile Squad is available as of today on mwm.ai on subscription, with a free trial is available to all new users, and every app that it creates is App Store and Play Store ready, with distribution workflows, subscriptions, in-app purchases, paywalls, ad monetization, real-time analytics, and A/B testing already wired in.

Jean-Baptiste Hironde, Founder & CEO of MWM, said: “The future of building isn’t a single AI doing everything, it’s a team of specialized agents collaborating like a real product team. Today we’re launching the first AI Mobile Squad: a Product Manager, a Designer, and a Developer working as one. Tomorrow, we’ll grow it into a complete mobile business. With Google Cloud, we have the models, solutions and infrastructure to be a pioneer, continue our innovation journey and scale to meet opportunities globally.”

Grégoire Peiron, Director Google Cloud France, Startups / Digital Natives, said: “MWM is a remarkable example of how French mobile expertise can be amplified by Google Cloud’s AI stack. By building their AI Mobile Squad combining our models, agentic AI technology and infrastructure in an open manner, MWM is taking mobile innovation a stride further, making the industry enter the agentic era.”

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Rockwell Automation Launches New Season of ROKStudios Video Series Highlighting OEM Leaders on Machine Lifecycle Innovation

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Rockwell Automation Launches New Season of ROKStudios Video Series Highlighting OEM Leaders on Machine Lifecycle Innovation

Rockwell Automation logo

Executives share perspectives from leading machine builders on designing, deploying and optimizing machines across the lifecycle

Rockwell Automation, the world’s largest company dedicated to industrial automation and digital transformation, announced it has released a new season of ROKStudios, its thought leadership video series featuring in‑depth interviews with executives from leading machine builders and industry associations.

The latest season shares perspectives from across the global packaging and manufacturing ecosystem, with each interview exploring how OEMs are evolving their strategies to deliver value across the full machine lifecycle – from initial design through commissioning and long‑term operation.

“These discussions share how machine builders are redefining success around lifecycle value,” said Fabrizio Scovenna, regional vice president, OEM, EMEA, Rockwell Automation. “Across these conversations, we see a consistent shift toward strategies that integrate design, secure data and services to improve performance, resilience and long‑term outcomes.”

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Each episode provides a distinct perspective on how OEMs are responding to changing customer expectations, increasing complexity and new performance requirements:

Olaf Clemens, CEO, SN MaschinenbauExplores the growing role of cybersecurity as a foundation for connected machinery, enabling secure data integration, resilient operations, and long-term lifecycle value.

Gian Paolo Crasta, director general, UCIMAShares an industry‑wide perspective on how packaging machinery OEMs are redesigning machines for flexibility, digital services, and measurable lifecycle performance while balancing sustainability and productivity goals.

Alessandro Rocca, vice president of global sales, Cama GroupExamines how robotics and standardized architectures are helping OEMs accelerate deployment, improve repeatability, and deliver scalable lifecycle performance in high‑mix production environments.

Luis Villegas, president, AMEC EnvasgrafProvides an industry association perspective on how OEMs are rethinking the machine lifecycle – from design through delivery and operation – in response to digitalization, sustainability pressures, and skills challenges.

Steve Rackham, group technical manager, Bradman Lake GroupDiscusses how modular design and integrated “process‑to‑pallet” strategies are enabling OEMs to manage SKU complexity, improve uptime, and build more flexible, future‑ready packaging lines.

Michael Lampe, innovation manager, Meurer Verpackungssysteme GmbHExplores how OEMs are adapting to sustainability requirements, including the shift to new materials, while maintaining efficiency, flexibility, and lifecycle performance.

Bino Bastian, head of sales, ECONO-PAKDiscusses how digital twins are evolving beyond virtual commissioning into lifecycle assets that support engineering efficiency, collaboration and post‑startup optimization, while addressing cybersecurity, compliance, and traceability requirements.

Piers Lamb, sales director UK and Ireland, Universal PackHighlights how data‑ready machine design is enabling traceability, compliance, and service‑led business models, while improving commissioning speed and long‑term operational performance.

Piyush Bhandari, Area Sales Head, Clearpack GroupShares how OEMs are evolving from standalone machines to intelligent, connected systems to meet changing consumer demands while maintaining secure and resilient operations.

Davide Furini, Area Sales Manager, CT PackDiscusses how digital tools, connectivity, and data are enabling more resilient machine performance, helping OEMs meet evolving lifecycle requirements and operational demands.

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Across all interviews, a consistent theme emerges: OEMs are moving beyond project‑based delivery toward lifecycle‑driven strategies that integrate design, data and ongoing services.

Machine builders are increasingly recognizing that decisions made during early design stages can significantly impact commissioning efficiency, uptime and long‑term serviceability.

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Project 100 Opens Office in Oakland California and Introduces New Marketing Services to Small Businesses

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Project 100 Opens Office in Oakland California and Introduces New Marketing Services to Small Businesses

Project 100 LLC - Main Logo

Project 100 Opens Office in Oakland California and Introduces New Marketing Services to Small Businesses

Project 100 LLC, a digital marketing and advertising agency built for local business owners, today announced the opening of its new office in Oakland, California. The expansion reflects the agency’s continued growth and commitment to helping more small businesses across the East Bay and greater San Francisco Bay Area improve their online presence, attract new customers, and compete in today’s digital marketplace.

Recyclable websites’ offer businesses a leaner, more agile way to test the market without massive overhead.”

— My Nguyen, Director Of Marketing

The new Oakland location will serve as a satellite hub for Project 100’s creative, marketing, and client support operations, building on the company’s foundation in Silicon Valley. Located in downtown Oakland at a shared workspace called Informal Spaces, the office gives the agency a stronger presence in the East Bay and allows Project 100 to better serve business owners in Oakland, Alameda, Berkeley, San Leandro, Hayward, Walnut Creek, and surrounding communities.

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As part of the expansion, Project 100 is also introducing new service options designed specifically for non-tech business owners who need simple, practical marketing solutions without complicated systems or unnecessary costs. The agency’s goal is to make websites, advertising, SEO, and AI tools easier to understand and easier to use for everyday businesses such as restaurants, contractors, medical offices, real estate professionals, service providers, retail shops, and local organizations.

One of the agency’s newest offerings is what Project 100 calls “recyclable websites.” This approach gives business owners a faster and more affordable way to launch short-term websites or landing pages for promotions, events, seasonal campaigns, new services, product testing, or special offers. Instead of investing heavily into a permanent website for every idea, businesses can quickly launch a professional page, test the market, and later reuse or repurpose the design for future campaigns.

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“Many business owners have great ideas, but they do not always want to spend months and thousands of dollars building something before they know it will work,” said My Nguyen, Director of Marketing at Project 100. “Recyclable websites give them a simple way to test an idea, promote an event, or launch a campaign without wasting time or money.”

Project 100 is also expanding its website support and security services to help businesses maintain stronger, more reliable online platforms. These services include long-term website development, website updates, maintenance, performance improvements, and added protection for business websites. The goal is to give business owners peace of mind knowing their website is not only professional, but also secure, stable, and built to grow with their company.

In addition, Project 100 is introducing practical AI-powered marketing support for local businesses. Rather than focusing on complicated technology, the agency uses AI to help business owners create better content, understand customer behavior, improve advertising performance, and make smarter marketing decisions. These tools are designed to save time, reduce guesswork, and help businesses get more value from their marketing budget.

Project 100’s services include website design, local SEO, Google Business Profile optimization, Google Ads, social media advertising, content creation, landing pages, branding, automation, and ongoing marketing support.

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Optilogic Launches Ada, the First Agentic AI System Purpose-Built for Supply Chain Design

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Optilogic Launches Ada, the First Agentic AI System Purpose-Built for Supply Chain Design

Optilogic logo

Ada brings an entirely new level of intelligence to supply chain design—autonomously handling the heavy lifting so teams can optimize the network they have and design the network they need, at the speed business demands

Optilogic, the leader in AI-first supply chain design and optimization, today announced the general availability of Ada, a breakthrough agentic AI system that fundamentally transforms how supply chains are modeled, analyzed, and continuously redesigned.

Announced live to more than 300 customers, partners, and industry leaders today at the company’s annual user conference in Detroit, Ada marks a major industry milestone: shifting supply chain teams from manually building models and reacting to change to generating intelligence, evaluating scenarios, and accelerating decisions at enterprise scale.

Ada is a next-generation agentic AI system accessible anywhere, that can cleanse and enrich data, build baseline models, analyze scenarios, and deploy insights across the enterprise. Users can “Ask Ada” any question in an embedded chat interface inside the Optilogic platform, so anyone in the organization—from executives to planners—have answers at their fingertips.

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“Historically, design was slow and inaccessible,” said Don Hicks, CEO of Optilogic. “That’s not anyone’s fault—technology just hadn’t risen to the challenge yet. Today, that changes. Ada turns design into a fast and continuous process accessible by anyone, so it stops being a periodic initiative and starts being your biggest competitive advantage.”

Ada’s launch follows an Early Adopter Program in which more than 40 Optilogic customers validated the capabilities ahead of general availability. “Optilogic helps us build supply chain resilience by providing artificial intelligence and optimization tools to enhance our future,” said Felipe Moraes, Head of Supply Chain and Integration at Amazon Brazil.

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Ada autonomously handles the most time-consuming parts of supply chain design. Throughout every stage, human judgment remains central. Ada handles the technical work; supply chain teams own the strategy, validate every output, and make the final call.

Andrea Paciaroni, Principal Director at Accenture, said, “Supply chain leaders are navigating an era of relentless unpredictability, where the window between disruption and required action continues to shrink. Accenture’s mission is to help clients build supply chains that are resilient by design, not just by response. Optilogic’s AI for supply chain design is exactly the kind of innovation the industry needs—AI that doesn’t just surface insights but also empowers teams to act with confidence.”

Ada was built to fundamentally transform the design practice: analysts can explore hundreds of strategic alternatives instead of rationing questions, disruption triggers a prepared playbook instead of a new project, executives have answers at their fingertips, and design teams become key advisors in both near- and long-term decisions rather than a months-long back-office effort.

Ada represents the first in a sustained series of AI investments Optilogic is making to ensure supply chain design teams can meet the pace of a business environment defined by constant change. With this announcement, Optilogic is building upon the industry’s only platform that combines agentic AI, mathematical optimization, and simulation in a single integrated system.

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AdLift’s Tesseract Launches Claude AI Integration and AI Traffic Analytics

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AdLift's Tesseract Launches Claude AI Integration and AI Traffic Analytics

AdLift India | LinkedIn

The latest update enables brands to track referral traffic from AI platforms and gain deeper insight into how AI models interpret, position, and recommend their brand online.

If someone ever wondered whether ChatGPT, Perplexity, or Google’s AI Overviews are sending users to their brand’s website – or how those platforms describe a brand when someone asks about a category – Tesseract by AdLift now has answers.

The AI Search Visibility platform has launched two major product updates: Claude AI integration and AI Traffic Analytics, giving marketers and SEO teams a clearer picture of how AI platforms engage with their brand and where that’s translating into real traffic.

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Understanding What AI Says About A Brand

By bringing Anthropic’s Claude model into Tesseract’s intelligence layer, the platform can now analyze the context, sentiment, and intent behind AI-generated brand mentions. Teams can understand how their brand is positioned within conversational AI answers, spot recommendation patterns across platforms, and get more precise guidance for AI-first search environments. Claude integration is available for Enterprise and Pro Plan users.

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Seeing Where AI Traffic Is Coming From

AI Traffic Analytics addresses a gap growing quietly across most marketing teams: AI assistants are increasingly driving discovery, but traditional analytics tools weren’t built to track it. The feature gives brands visibility into which AI platforms are driving traffic and how referral behavior shifts over time. Available across all Tesseract plans.

Prashant Puri, Co-Founder & CEO of AdLift, said: “Traditional search analytics were built for a world where Google was the primary discovery engine. That world is changing fast. Tesseract is designed for what comes next – giving brands real intelligence into how AI platforms perceive, reference, and send traffic to their digital presence.”

Arron Goodin, Managing Director, AdLift, said: “Marketers can no longer rely on traditional search metrics alone. With Claude integration and AI Traffic Analytics, Tesseract helps brands move beyond rankings and understand how AI platforms interpret, position, and recommend them in real-world conversations.”

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Flowgear Launches Builder MCP to Bring Enterprise Integration Into Any AI Chat or IDE

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Opsera Launches VIBEshift to Move AI-Generated Applications from Prototype to Production with a Single Command

Flowgear Customer Reviews 2026 | Data Integration | SoftwareReviews

New MCP capability lets teams build and test enterprise workflows directly from AI coding tools and local development environments without compromising security or enterprise guardrails.

Flowgear, an enterprise integration platform serving more than 140 global partners and 1,000 certified developers worldwide, today announced the launch of Builder MCP, a way to build workflows directly from an AI chat.

Builder MCP lets technical teams build Flowgear workflows directly from an AI chat or local IDE, outside the Flowgear console. For integration architects and developers, that means scaffolding and testing backend workflows from the tools they already use, without switching contexts.

Integrating AI Workflows Securely and Conveniently

Open-ended coding gives teams too many pathways for backend engineering, leading to architectural drift, security gaps, and duplicated work. These challenges are amplified as new AI coding tools are being integrated into developer workflows, creating AI sprawl, where multiple teams independently build overlapping or duplicate integrations across isolated tools.

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Builder MCP solves this by constraining AI-generated workflows to validated patterns on Flowgear’s infrastructure, giving AI a toolkit to use rather than a blank canvas to create.

This capabilities upgrade delivers immediate advantages for modern engineering operations, including:

– Build from anywhere. Teams can create and test Flowgear workflows from external AI tools, IDEs, and local environments, using the same tooling surface available inside the Console.

– Faster loops. The AI-assisted workflow cuts the time between drafting and testing, so working outcomes accompany developer inputs.

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– Guardrails included. Every workflow built through Builder MCP inherits platform-level governance and security, so nothing ships without Flowgear’s enterprise controls.

“Builder MCP fundamentally reimagines the integration lifecycle by embedding Flowgear’s framework directly into the AI tools where engineering teams increasingly work,” said Daniel Chilcott, co-founder and CEO of Flowgear. “By using AI to generate and refine structured backend logic on the fly safely, organizations can collapse their integration backlogs and achieve production readiness without the overhead of manual console design.”

Unlike many MCP offerings that focus on giving AI agents access to existing tools, app actions, or enterprise resources, Flowgear Builder MCP gives technical teams a way to create and test new Flowgear workflows from outside the Console, using the same workflow-building tool surface used by Flowgear’s built-in tooling.

Automation That Scales

Modern mid-market and enterprise organizations depend on a dense web of enterprise software platforms to drive daily business execution. When these systems remain disconnected, they generate deep operational drag, manual information dependencies, and siloed visibility across business units.

Flowgear bridges these gaps by providing out-of-the-box infrastructure connectivity that harmonizes data flows across distinct functional departments.

With the debut of Builder MCP, Flowgear establishes an AI-guided framework for constructing and scaling foundational workflows, keeping modern companies moving.

For example, in e-commerce or supply chain environments, Flowgear Builder MCP enables teams to build workflows that seamlessly connect online orders, stock levels, warehouse activity, ERP records, courier systems, and customer notifications. As the business scales, it empowers technical teams to rapidly adapt these workflows to accommodate new sales channels, fulfillment processes, or logistics providers.

Flowgear’s platform gives developers the freedom to build in their preferred environments while maintaining enterprise-grade governance. Builder MCP extends that principle to AI-assisted workflows.

“Builder MCP gives enterprises the confidence to deploy AI-assisted automation because the underlying workflows are governed by a resilient, enterprise-grade environment,” said JJ Milner, co-founder of Flowgear and founder and Managing Director of Global Micro Solutions. “AI development is only as good as the systems that surround it, and with Builder MCP, we are providing the structural foundation required to scale AI automation safely, reliably, and without the risk of sprawl.”

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Beroe and Kearney Launch MAX: The AI-Native Decision Engine That Makes Procurement Continuously Competitive

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Appspace Brings Enterprise AI Choice to the Workplace with Bring Your Own Model

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  • MAX sits as the missing connecting layer between data and execution systems

  • The first platform to continuously surface margin opportunities while simultaneously optimizing risk and ESG

  • Powered by codified Kearney methodology and 30M live market signals from Beroe

  • Designed with a Strategic Advisory Council of 13 global procurement organizations, representing some of the world’s most complex supply chains

Beroe, the global leader in procurement intelligence, and Kearney, the global management consulting firm, announced the launch of Beroe MAX powered by Kearney, an AI-native, always-on decision engine designed to make procurement continuously competitive. Launched from the main stage at DPW NYC, MAX is the first product to close the gap between intelligence and decisive action, providing a unified view across cost, risk, and ESG.

Why procurement needs a new operating system

The Chief Procurement Officer mandate has expanded faster than the function’s operating model. Procurement leaders are now accountable for resilience, ESG exposure, tariff response, margin protection, and more, often with the same or fewer resources than they had five years ago. This environment introduces three critical challenges:

  • Velocity: Supply markets move in hours, not quarters, yet category strategies update infrequently.
  • Fragmentation: The profusion of procuretech in recent years has armed procurement teams with tools that provide insights, and others that help execute, without a connection.
  • The Missing Link: What has been missing is an intelligent system that bridges the two.

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

Continuous intelligence, applied in context

MAX closes that gap. Built on a neurosymbolic framework that leverages best-of-breed agentic AI, MAX sits as a connecting layer between data and execution systems. It continuously combines Beroe’s global market intelligence and specialist third-party data via a data marketplace, with Kearney’s proprietary consulting methodology, benchmarks, and decision frameworks, applied against a user’s own spend, contracts, and supplier base. The result is recommendations surfaced in the organization’s specific context, as soon as opportunities arise. When a tariff is imposed, a commodity price spikes, or a supplier risk rating shifts, MAX reassesses affected categories and flags the decisions that need attention before teams have to go looking for them.

Built with procurement, for procurement

MAX results from a multi-year partnership between Kearney and Beroe which set out to enable previously impossible decisions and outcomes in procurement. The product was designed with a Strategic Advisory Council of 13 global procurement organizations, representing some of the world’s most complex supply chains, who shaped the product design, validated its application across categories, and continue to steer its roadmap today. Their involvement ensures that MAX reflects the real decisions procurement teams face, not a theoretical model of what those decisions should look like.

Vel Dhinagaravel, Founder and CEO, Beroe, said: “The processes procurement relies on today were built for a world that no longer exists. Teams have always had access to market data, but what they have lacked is a system that connects that data to their specific spend, applies procurement logic, and tells them where to act, continuously. MAX puts that capability into the hands of every category manager, not just the ones in the room with a consultant, enabling decisions and outcomes that were previously impossible.”

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

Suketu Gandhi, Co-leader of Global Strategic Operations, Kearney, said: “CPOs are being asked to deliver competitive advantage in markets that move in hours, not quarters. MAX gives procurement leaders the real-time visibility and prioritized recommendations they need to anticipate shifts, focus where it matters, and move decisively. This is not a faster version of the function procurement has always been. It is a different function, one that stops waiting to be asked. It moves from responding to anticipating, from episodic to continuous. That is what it means to compete.”

A CPO member of the Strategic Advisory Council added: “Today, category managers are forced to be selective; focusing on the top 20 percent of spend, the most strategic suppliers, and the categories with the largest potential savings. Smaller opportunities go unrecognized because the analytical cost outweighs the return. MAX changes the economics of that decision. Category managers can now cover every supplier, every category, every day.”

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Edimakor V5.0.0 Revolutionizes Video Creation with Reference to Video and AI Ads Features

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Edimakor V5.0.0 Revolutionizes Video Creation with Reference to Video and AI Ads Features

HitPaw Edimakor News - Profile and Newsroom at Send2Press Newswire

Video production using AI has completely evolved since the early days when users created random video clips based only on a text prompt. Nowadays, users are calling for consistent quality, improved control, and fast turnaround times, making these types of previously available tools irrelevant. The HitPaw Edimakor new version 5.0.0 addresses this demand by providing comprehensive solutions (new features) that make video content creation easy for creators by integrating Reference to Video, Ability to Create AI ads, ability to do video clones (i.e., create a copy of anyone) . This update moves video production from a traditional model to a more intelligent Procedure.

Reference to Video Powered by Wan 2.7

Edimakor V5.0.0 completely redefines the AI Video landscape, where many AI Video tools start anew every time an AI is executed. Incorporate your own images, video, or audio as reference material with a text prompt, and Edimakor will produce an engaging video that has the same visual output from beginning to end. The integration of the newly incorporated Wan 2.7 model powers this process, delivering the level of quality and consistency that generic generation cannot provide. Your style is still your style.

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

AI Image Editing Clean, Fast, Professional

Two major enhancements In Edimakor AI Image Editing:

  • Remove or replace the background of an image to produce an entire series of professional photos with different backgrounds for various marketing scenes.
  • Take out unwanted objects, remove blemishes, change the colour of items, and add or replace items in large areas of photos easily using simple selections.

AI Ads One Click to a Professional Ad Campaign

Edimakor V5.0.0 offers you an entire ad generation suite that will allow you to generate high-quality video or image-based ads for e-commerce or brand marketing, in one click!

Main features:

  • Unified product and brand management with AI customized characters that represent your brand.
  • Creative advertisements, use of consumer-generated content, product showcase advertisements, and promotional advertisements.
  • AI background swap, virtual try-on, and model hand-holding product shot feature.

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

Video Cloning Capture What Works

Using Video Cloning function, you can upload your reference clip or photograph(s), and Edimakor will produce for you a fully-functioning video marketing piece using the same style, camera angles, lighting, and action as your reference material. This one tool alone can save hundreds of hours of video production work each week.

Conclusion

With Edimakor V5.0.0, you will have a full creative video production studio all contained in one tool, which includes reference-based generation of viral content, cloning of other successful advertisements, professional-grade advertisement production, and the ability to produce emotional-sounding voiceovers.

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Autodesk signs strategic collaboration agreement with Amazon Web Services

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Autodesk signs strategic collaboration agreement with Amazon Web Services

Autodesk reveals new logo, look, and feel - Autodesk News UK & Ireland

Fusion products will be available via AWS Marketplace

Autodesk, Inc., a global leader in design and make technology, announced it has signed a strategic collaboration agreement (SCA) with Amazon Web Services, Inc. (AWS). Through this collaboration, Autodesk will work with AWS to advance cloud-based solutions that help customers design, build, and operate more efficiently at scale.

In addition to the SCA, Autodesk products will also be available for purchase through AWS Marketplace beginning in the second quarter of Autodesk’s fiscal year. This introduces new ways for AWS customers to access Autodesk solutions — starting with Fusion for Product Design and Fusion Manage. Customers can take advantage of simple procurement and billing when purchasing Autodesk products while also honoring existing AWS Private Pricing Agreements.

Marketing Technology News: MarTech Interview with Nicholas Kontopoulous, Vice President of Marketing, Asia Pacific & Japan @ Twilio

Autodesk and AWS will also collaborate to accelerate innovation across Autodesk’s cloud platform, including opportunities to leverage AWS cloud and AI capabilities to support increasingly complex design and make workflows. By offering Autodesk’s industry-leading software through AWS Marketplace, customers can streamline procurement, leverage flexible cloud infrastructure, and accelerate time to value, enabling improved performance, greater agility, and deeper insights across the entire project lifecycle.

“By deepening our collaboration with AWS, we’re taking another major step in helping customers choose how they design and make in the cloud,” said Rachel Tuller, VP of Global Partner Ecosystem Sales at Autodesk. “Together, we can give organizations the flexibility to build, operate, and scale solutions that best meet their business needs while driving greater efficiency and innovation.”

“This collaboration reflects what happens when partners align around customer success,” said Colin Lazier, Vice President, Databases, Amazon Web Services. “By combining Autodesk’s design and make expertise with AWS’s cloud infrastructure and AI capabilities, we’re helping customers innovate faster, work smarter, and scale with confidence — and we’re just getting started.”

Marketing Technology News: The ‘Demand Gen’ Delusion (And What To Do About It)

The collaboration also creates new opportunities for customers and partners across the broader AWS ecosystem. Matterport, a customer and partner of both AWS and Autodesk whose spatial data platform integrates with Autodesk workflows, sees the agreement as a way to deliver a more seamless experience for shared customers.

“As a customer and partner of both AWS and Autodesk, we see firsthand how this collaboration can benefit organizations like ours,” said Rob Hines, Interim President at Matterport. “Customers using Matterport’s spatial data platform with Autodesk workflows will gain a more unified experience on AWS, and we’re excited about the possibilities that creates for the customers we serve together.”

Through this collaboration, Autodesk and AWS are helping customers modernize workflows, improve collaboration, and scale with confidence.

This collaboration underscores Autodesk and AWS’s shared commitment to delivering flexibility and unlocking greater business value for customers across industries.

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WP Engine Enhances Global Edge Security With Bot Management to Control AI-Driven Website Traffic

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WP Engine Enhances Global Edge Security With Bot Management to Control AI-Driven Website Traffic

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Web teams gain deeper visibility, flexibility, and control over unwanted bots to adapt to evolving automated traffic across the Intelligent Web

Similarweb Expands AI Ecosystem with Perplexity Collaboration Through Native AI Workflows

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Similarweb Expands AI Ecosystem with Perplexity Collaboration Through Native AI Workflows

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New integration strengthens Similarweb’s position as the trusted digital data layer powering AI-driven business workflows in Perplexity Computer

Qlik Helps Build Trusted Enterprise Context into Snowflake and Cortex Workflows

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Qlik Helps Build Trusted Enterprise Context into Snowflake and Cortex Workflows

Qlik

Building on innovations introduced at Qlik Connect® 2026, Qlik helps Snowflake customers bring more enterprise data into Snowflake in real time, extend Snowflake and Snowflake Cortex AI workflows with governed enterprise context, and connect analytics to governed action.

Key takeaways:

  • Bring more enterprise data into Snowflake in real time: Qlik helps customers move data from SAP, mainframe, SaaS, databases, and streaming environments into Snowflake with speed and scale.

  • Extend Snowflake and Snowflake Cortex AI workflows with governed enterprise context: Qlik helps customers connect Snowflake data with governed data products, lineage, quality signals, and business context, including relevant context that may sit outside Snowflake.

  • Connect insight to governed action: Qlik extends Snowflake investments with analytics, open agent interoperability, and workflow activation so teams can move from data to insight to action more effectively.

Qlik® announced expanded ways for Snowflake customers to bring real-time enterprise data, governed business context, and open agentic capabilities into Snowflake-centered AI and analytics initiatives. Timed for Snowflake Summit 26, the announcement builds on innovations introduced at Qlik Connect 2026 and highlights how Qlik complements Snowflake by helping joint customers connect more enterprise data to downstream analytics and AI.

As organizations push beyond AI pilots, many are finding that the bottleneck is not model access. The harder challenge is connecting current enterprise data, preserving business meaning, and governing how AI insights are used across real workflows without adding more lock-in, cost opacity, or operational risk.

Qlik helps address that need by moving enterprise data into Snowflake in real time, shaping reusable governed data products, and extending analytics and AI workflows with governed context from systems and data sources that may sit beyond Snowflake. As a Snowflake Elite Technology Partner, Qlik brings together data integration, data quality, analytics, and open agent interoperability in a way that helps joint customers accelerate AI value while preserving trust and control.

Marketing Technology News: MarTech Interview with Theresa Pham, Head of Product @ Wayvia

Qlik is also introducing a Snowflake Native App for Qlik Model Context Protocol (MCP) Server, connecting Snowflake Intelligence and Cortex Agents to Qlik Cloud. The app lets Cortex Agents access Qlik-governed data and analytics assets directly from Snowflake workflows, including Qlik apps, KPIs, formulas, chart data and lineage, grounding natural-language exploration in Qlik’s trusted analytics engine.

“Snowflake customers do not need more AI experimentation around the edges,” said Josh Good, VP, Tech Ecosystems & Strategy at Qlik. “They need a practical way to get more value from Snowflake by bringing in more enterprise data, preserving business context, and connecting Snowflake and Cortex workflows to governed intelligence across the business. Qlik helps do that with the flexibility and control enterprises expect.”

Marketing Technology News: Idle data is as good as no data

“Snowflake is the platform for the AI era, making it easy for enterprises to innovate faster and get more value from data,” said Amy Kodl, SVP, Worldwide Alliances and Channels at Snowflake. “Qlik complements that foundation by helping joint customers connect more enterprise data and business context to Snowflake workflows, so teams can move faster from data to insight to action with the governance required at enterprise scale.”

What’s new

  • Real-time enterprise data into Snowflake: Qlik supports CDC, streaming, batch, and event-driven movement from hundreds of enterprise sources into Snowflake, helping customers reduce latency and accelerate time to analytics.
  • Governed data products and business context: Qlik helps customers create curated, governed, and reusable data products with lineage, quality controls, stewardship, and trust signals that improve confidence in analytics and AI-driven decisions.
  • Context for Snowflake Intelligence and Cortex AI workflows: The Snowflake Native App for Qlik MCP Server connects Snowflake Intelligence and Cortex Agents to Qlik Cloud, helping customers bring Qlik-governed analytics context, including relevant enterprise context that may sit outside Snowflake, into Snowflake workflows.
  • An open fit with existing investments: Qlik is designed to work with the systems customers already use, helping teams extend their Snowflake environment with trusted intelligence rather than adding another stack.

Together, Qlik and Snowflake help organizations turn strong data infrastructure into more trusted, explainable, and actionable AI outcomes. That gives joint customers a more practical path to enterprise AI, especially in environments where SAP data, operational systems, documents, and real-time streams all need to work together under governance.

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VIDIZMO Launches AI Intelligence Hub to Turn Media Files and Documents into Sourced Answers

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VIDIZMO Launches AI Intelligence Hub to Turn Media Files and Documents into Sourced Answers

VIDIZMO Logo

Purpose-built for law enforcement, legal, government, healthcare, and financial services, VIDIZMO AI Intelligence Hub analyzes video, audio, documents, and images together, on your private cloud, on-premises, or air-gapped network.

VIDIZMO, a Gartner Magic Quadrant Challenger in Enterprise Video Content Management and an IDC MarketScape Major Player in Digital Evidence Management, announced the launch of VIDIZMO AI Intelligence Hub, a multimodal enterprise AI platform that analyzes video, audio, images, and documents together to deliver sourced answers that professionals can act on and defend.

Organizations across government, law enforcement, legal, healthcare, and financial services manage growing volumes of media files and documents that no team can fully review. Most AI tools process only text and documents, leaving video and visual evidence entirely unanalyzed. AI Intelligence Hub closes that gap, and does so on infrastructure the organization controls, with no data sent to a third-party server.

“Every organization we talk to has the same problem: more data than their team can get through, and real consequences when something gets missed. We built the VIDIZMO AI Intelligence Hub to analyze every type of data a team manages and give back answers they can cite, defend, and act on, whether that data lives in a private cloud, an on-premises server, or a fully air-gapped network,” said Nadeem Khan, CEO of VIDIZMO.

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

Key Capabilities

AI Intelligence Hub brings together capabilities that other platforms deliver only in fragments:

Computer vision and audio AI: Analyzes video frame by frame to detect objects, identify individuals, and recognize actions, alongside audio transcription and speaker identification in 82 languages.

One search across every data type: A single query spans video, audio, documents, and images, returning sourced answers with timestamps, page references, and confidence scores.

On-premises and air-gapped deployment: Runs on your private cloud, on-premises infrastructure, or fully air-gapped network. No data transits external servers, and full platform capability is identical across all three deployment modes.

No-code AI workflows: Business users build multi-step workflows with approval steps, conditional logic, and external API connections, without writing code.

Model-agnostic architecture: Runs commercial and open-source AI models on your own infrastructure, with no vendor lock-in.

Sourced, explainable answers: Every response links back to the original content, by timestamp, page, or frame, with a full audit trail and no black-box outputs.

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Built for Regulated Industries

AI Intelligence Hub is purpose-built for organizations operating under strict data governance requirements:

Law enforcement and public safety: Analyze body-worn camera, dashcam, and CCTV footage alongside documents to build reports and court-ready packages with timestamped citations, all on infrastructure the agency controls, meeting CJIS and FedRAMP High requirements.

Legal and prosecution: Review the complete record, flag potentially exculpatory material, and keep every AI interaction within attorney-client privilege, on your infrastructure, not a vendor’s cloud.

Healthcare: Analyze incident recordings, clinical notes, and patient history together in a HIPAA-compliant private cloud or on-premises deployment.

Financial services: Conduct due diligence across thousands of documents in hours and keep compliance recordings searchable for the full retention period within your own infrastructure boundary.

Government and regulatory: Process FOIA requests at scale and keep all processing on-premises or air-gapped. Supports FedRAMP, Section 508, and FIPS 140-2 requirements.

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fullthrottle.ai® Strengthens Executive Team, Appoints Sanghita Majumder as EVP of Customer Success to Deepen Client Partnerships

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Later Adds Dena Upton as Chief People Officer to Drive Continued Scale and AI Innovation

ft-logo

Industry veteran brings 18 years of AdTech customer success leadership to advance client outcomes across fullthrottle.ai’s managed services and platform activations.

fullthrottle.ai, a pioneer in first-party data media solutions and AdTech operating systems, announced the appointment of Sanghita Majumder as Executive Vice President of Customer Success. Majumder brings 18 years of experience building and scaling customer success and client services across leading AdTech platforms and will lead fullthrottle.ai’s customer success team spanning both managed services and self-service clients.

Industry leader Sanghita Majumder joins fullthrottle.ai to drive customer success and adoption.

Majumder brings deep AdTech leadership experience from some of the industry’s most influential companies, including Rocket Fuel, Samba TV, The Trade Desk, and StackAdapt. Throughout her career, she has led high-growth client services and campaign operations organizations through major moments of scale, including Rocket Fuel’s IPO, the global expansion of Samba TV’s managed services business, and Stack Adapt’s MarTech product launch, while consistently driving client retention, operational growth, and revenue expansion.

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

“Customer success discipline will be essential for our next phase of growth at fullthrottle.ai®, and Sanghita brings the kind of leadership experience that accelerates both customer value and long-term partnerships,” said Amol Waishampayan, Co-Founder of fullthrottle.ai®. “Her track record of building high-performing teams, strengthening customer relationships, and driving measurable business outcomes makes her an ideal fit for where we are headed next.”

As EVP of Customer Success, Majumder will lead the post-sale organization across the business, partnering closely with fullthrottle.ai’s revenue, product, and operations teams to deliver measurable outcomes for customers and agency partners and drive long-term growth.

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

“What drew me to fullthrottle.ai® is the rare combination of a genuinely differentiated product and a leadership team that is deeply passionate about what they are building,” said Majumder. “The ability to connect media spend to real business outcomes in a cookieless, privacy-first manner is exactly what the market needs right now. I am thrilled to join at this moment and help build the customer success engine that brings that value to life for every client we serve.”

The appointment reflects fullthrottle.ai’s continued investment in customer success and services capabilities supporting its growing client base of agencies and brand marketers as adoption of its unified platform expands.

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MoEngage Launches Merlin AI Custom Agents With Full Visibility, Marketer-Defined Guardrails, and Open MCP Architecture

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MoEngage Launches Customer Engagement Magazine: Human or AI? For B2C Marketers

B2C Lifecycle and CRM teams can now design marketing agents that run on their own data, inside their own guardrails, and coordinate with external AI systems like Claude and ChatGPT through an open Model Context Protocol (MCP) server.

MoEngage, the agentic customer engagement platform used by more than 1,350 consumer brands, launched Merlin AI Custom Agents. Lifecycle marketers and CRM teams can now build their own workflow agents on top of MoEngage data and tools, define the rules each agent runs inside, and watch every step the agent takes. MoEngage is also opening to the enterprise AI stack through an MCP server, so customers can use AI tools like Claude or ChatGPT to access MoEngage data / tools or build external agents leveraging the MoEngage connector.

Most agentic AI in marketing today operates as a black box. The marketer enters a prompt, the system returns an output, and what happened in between stays hidden. For a CMO running hundreds of millions of customer touchpoints across email, push, in-app, and SMS, that opacity is a non-starter. Merlin is built differently. Every Merlin AI agent shows its work. Marketers see the data it pulled, the decisions it made, the channels it touched, and the content it sent. They set the audiences, channels, content rules, and budget limits before the agent runs. Some teams want full autopilot. Others want a hand on the wheel and review every action before it ships. The same agent runs either way.

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

“Marketers have been telling us for two years they don’t want AI that just does the work. They want AI they can see inside, set rules for, and stop when they need to. Merlin is built around that. The reason teams can let our agents run 24/7 and run experiments at a pace they couldn’t touch manually is that the agents only do what the marketer’s guardrails allow. Visibility and control are what make autonomy safe. Teams at SoundCloud, Loblaws, Swiggy, Domino’s, and dozens of other consumer brands shaped what we shipped,” said Raviteja Dodda, Co-founder and CEO of MoEngage.

Most martech AI today is built for one audience: a human marketer typing into a chat box. MoEngage is building for both the marketer and the AI agents already running inside the company. Through the MCP server and agent-callable APIs, MoEngage agents pass context to and take direction from external systems. For enterprises standardizing on a platform, the existing stack stays in place rather than getting replaced.

What’s new

Custom Agents in Merlin AI. Build agents that run continuously on your workflows. Every custom agent runs on MoEngage data, uses MoEngage tools, and operates inside the rules a marketer defines. A full activity log shows every decision it makes. Customer use cases: agents that QA campaigns before they go out, agents that turn a creative brief into a journey ready for review, and agents that produce analytics reports without anyone opening a dashboard.

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

New Merlin AI agents. Three additions to the agent suite already in Studio:

  • In-App Template Generator. Describe the in-app message you want. Merlin returns the App Template with responsive code and interaction logic done.
  • Flows Assist. Type the objective of a journey. Merlin returns a multi-stage canvas with triggers, paths, and channel steps wired in. The marketer reviews, edits, and ships.
  • Campaign Insights Agent. Ask questions about your campaigns in plain language. The agent surfaces what’s working, what isn’t, and what to change next.

MoEngage MCP Connector. Connect MoEngage to external AI systems like Claude and ChatGPT through the Model Context Protocol. Your own agents read MoEngage context, coordinate with Merlin agents, and take action across your stack without custom integration work.

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Sitecore Acquires Scrunch to Help Brands Influence Discovery and Buying Decisions in the AI-Search Era

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Sitecore Acquires Scrunch to Help Brands Influence Discovery and Buying Decisions in the AI-Search Era

Sitecore Acquires Scrunch to Help Brands Influence Discovery and Buying  Decisions in the AI-Search Era

Enables marketers to shape how their brand appears across AI-powered search by combining insights from “answer engines” with omnichannel content optimization

Ensures that customers experience personalized guidance from discovery to decision

Sitecore announced that it acquired Scrunch, an AI customer experience platform that helps brands understand and improve how they appear in AI search. The acquisition comes as large language models and AI generated answers dominate the digital landscape where buyers research solutions, compare options, and decide what deserves their attention and money. To compete, companies must continuously create, curate, and connect content that can be properly interpreted by these platforms.

AI systems influence brand perception: which offerings appear in answers, which competitors get mentioned, and which sources are cited. By the time buyers reach a brand – if they reach it at all – they have often already formed a point of view.

Brands need a scalable way to see where they appear in AI answers and to fix what AI is missing or getting wrong. Scrunch provides visibility into where brand messages are appearing, missing, or misrepresented in AI-driven discovery, working in concert with SitecoreAI to shape and manage content across AI ecosystems and other digital channels.

This transaction comes at a critical inflection point where brands must move from insight to action. It combines Scrunch’s insights, recommendation capabilities, and Agent Experience Platform (AXP) with Sitecore’s AI-powered digital experience platform (DXP). Together, Sitecore and Scrunch create a connected platform that publishes content across channels with brand integrity and message clarity, increasing traffic, improving conversion, and enabling organizations to measure performance. These capabilities help brands ensure that buyers find, trust, and choose them.

“AI has changed buyer behavior forever. We’re at a pivotal moment where companies must rethink traditional digital strategies and accept that the internet must be written for machines to understand if we want humans to experience it,” said Eric Stine, Chief Executive Officer of Sitecore. “With Scrunch, we enable our customers to understand how they are represented in AI-generated answers and automatically act on those insights, maximizing how they reach, engage, and serve their customers. We’re helping brands show up with greater clarity, authority, and relevance so they can build trust, increase share of voice, and influence decisions early in the buying journey when it matters most.”

“Control of the brand narrative is shifting, and customers are increasingly trusting AI to define brands, rather than the organizations behind those brands,” said Chris Andrew, Chief Executive Officer of Scrunch, a Sitecore company. “By joining forces, we’re helping companies meet buyers where they are, moving beyond traditional SEO to win inside AI-generated answers. That’s where Scrunch’s AXP is a critical advantage, delivering content in a format AI agents can read and use, without disrupting the human experience, allowing brands to become the trusted sources that power those answers.”

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

Driving Traffic, Delivering Outcomes
Customer adoption demonstrates the potential of Scrunch’s approach. In customer case studies and analyses, organizations using Scrunch have seen measurable improvements in AI search visibility, citations, and business outcomes.

With Scrunch, Akamai evaluated AXP-enabled webpages against comparable non-AXP webpages across tracked AI search prompts and models. The analysis found that AXP-enabled pages achieved a 364% increase in brand presence for non-branded prompts and a 218% increase in citations in AI-generated results.

In a separate study, Runpod used the Scrunch platform to expand prompt tracking and identify rendering and indexing issues that were limiting AI discoverability. Runpod reported a 400% increase in paying customers associated with its AI search optimization efforts.

“At Perficient, we’re building an AI-first marketing engine focused on speed, relevance, and real impact,” said Carrie Grapenthin, Chief Marketing Officer of Perficient. “As a customer and partner of both Sitecore and Scrunch, this combination is an exciting opportunity for our team. Insight without action isn’t enough. Scrunch helps us see where our brand is showing up, where gaps exist, and what needs to improve. Sitecore helps us act on those insights across the content and experiences we already manage, so we can move faster and deliver differentiated content in our unique brand voice.”

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

Connecting AI Insights to Content, Engagement and Performance
The transaction addresses a growing enterprise need: helping brands understand how AI represents them and act on what needs to change. The issue is not simply more content. Most enterprises already have a lot of content, but it is often fragmented, outdated, or hard for AI systems to access and interpret. The opportunity is to make the right content clear, current, and contextualized for the machines that increasingly shape what buyers see before they ever reach a brand’s website. Scrunch provides visibility into buyer queries, brand representation, and competitive positioning, while SitecoreAI enables teams to manage and activate content across web, social, and other digital channels, helping organizations continuously improve performance and drive engagement.

Advancing AI-Driven Content Optimization
Standalone Answer Engine Optimization (AEO) platforms typically show which questions a brand wins or loses, where competitors appear, and which sources shape the answer. Scrunch goes further by:

  • Moving beyond the website: Scrunch surfaces valuable knowledge across the broader content estate, not just publicly available web content.
  • Delivering actionable recommendations for brands: Scrunch gives next-level visibility across the broad landscape of Large Language Models (LLMs) – ChatGPT, Google Gemini, Perplexity, etc. – identifying the content, source, and delivery opportunities teams can act on to improve how their brand appears in AI answers. These recommendations will be automated within the SitecoreAI Content Management, Content Marketing, and Digital Asset Management solutions.
  • Optimizing content for AI agents: Scrunch’s AXP delivers content formatted for LLMs in a way that AI agents can read and use, without disrupting the human experience.
  • Driving execution: Unlike standalone tools, Scrunch connects directly to Sitecore workflows, enabling faster action and continuous improvement.

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TeamViewer brings Windows AI API to Assist AR for clearer, smarter remote assistance to frontline workers

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TeamViewer brings Windows AI API to Assist AR for clearer, smarter remote assistance to frontline workers

TeamViewer

TeamViewer, the global leader in remote connectivity and digital workplace solutions, has partnered with Microsoft to bring on-device AI capabilities to Assist AR, the remote assistance solution for frontline workers and industrial environments within the TeamViewer Frontline suite. The result is sharper video for remote supporters guiding field technicians, even when the technician is on a weak or unstable mobile connection.

When a field engineer needs remote guidance to fix a piece of industrial equipment, every second counts. Frontline workers are frequently in locations where mobile coverage is patchy at best: factory floors, remote worksites, or out in the field. A blurry or freezing video feed can be the difference between a quick fix and hours of costly downtime, and traditional remote assistance tools struggle to maintain quality under these conditions.

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TeamViewer Assist AR now leverages the new Windows AI API for Video Super Resolution (VSR), announced as a Public Preview at Microsoft Ignite 2025. Assist AR utilizes the new capabilities to deliver better video quality in poor network conditions, reduce video artefacts and errors, and optimize bandwidth use. VSR uses models running locally on the receiving device to reconstruct and sharpen incoming video in real time across a broader set of Windows PCs with powerful CPUs.

“TeamViewer is a global leader in Frontline Worker Augmentation and specializes in Remote Guidance. We’re thrilled to collaborate with Microsoft to deliver top-tier video resolution even under challenging network conditions for our users. This collaboration underscores our dedication to addressing real-world issues faced by those who keep operations running,” says Alfredo Patron, Executive Vice President of Global Partner Ecosystem & Channels at TeamViewer.

For organizations that depend on remote expertise — in manufacturing, utilities, healthcare, or field services — this translates directly into faster problem resolution, fewer on-site visits, and reduced operational costs. Teams can collaborate more effectively regardless of where people are or what network they’re on.

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“At Microsoft we continue to invest in enabling on-device AI capabilities for Windows app developers, and we’re pleased to partner with TeamViewer to enhance remote support experiences for our shared customers using the new Windows AI API for Video Super Resolution,” said Mik Chernomordikov, Head of Windows Developer Relations and Partnerships at Microsoft.

The VSR-enhanced version of Assist AR is now available in closed Beta, with general availability planned in the coming weeks with VSR on Copilot+ PCs. TeamViewer also intends to bring this capability to other products across its portfolio.

Assist AR with VSR will be featured at Microsoft Build 2026 (June 2–3, San Francisco and online), with live demonstrations at the Microsoft and Intel booths, and a dedicated breakout session exploring how local AI on Windows 11 is transforming frontline productivity.

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