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ActivTrak Launches AI Insights to Give Leaders a Clear View of How AI Changes Work

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ActivTrak Launches AI Insights to Give Leaders a Clear View of How AI Changes Work

New capabilities connect AI usage to productivity, capacity and business performance — helping organizations understand what’s actually working

ActivTrak announced AI Insights, a new set of work intelligence capabilities that gives organizations a clear, data-driven view of how AI is used across the business — and whether it’s driving meaningful results.

As companies rapidly deploy AI tools, most still rely on fragmented, tool-level data to track usage. This makes it difficult to see how AI influences workflows, productivity and overall performance.

AI Insights address this gap by unifying behavioral data captured continuously at scale across people, applications and AI tools. The result is a system-level view of AI adoption — helping leaders understand where AI is used, how it’s reshaping work and where it’s creating value.

“Work has fundamentally changed. It’s now people and AI, side by side, sharing tasks in ways that were hard to anticipate two years ago,” said Heidi Farris, CEO of ActivTrak. “But organizations still lack a clear way to measure what that shift actually means. ActivTrak work intelligence gives leaders a complete, objective view of AI adoption and impact — from early usage patterns to real business outcomes.”

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What AI Insights Deliver

AI Insights provide a system of record for AI adoption and its effects across five core areas:

  • AI Usage Measurement: Understand which AI tools are used, by whom and how often — establishing a reliable baseline of AI activity across teams and roles.
  • AI Governance & Compliance: Identify approved and unapproved AI usage to support policy enforcement and reduce risk from unsanctioned tools.
  • AI Adoption Maturity & Benchmarking: Track how individuals and teams progress from experimentation to consistent workflow integration, enabling more targeted enablement and change management.
  • AI Productivity Impact: Connect AI usage to changes in productivity, capacity and utilization — revealing where AI reduces manual effort, accelerates task completion and frees up time for more strategic activities.
  • AI Optimization & ROI: Identify underutilized tools, adoption gaps and opportunities to refine or expand AI investments — helping leaders prioritize spend, reallocate resources and scale the tools that deliver the strongest business results.

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According to the ActivTrak Productivity Lab’s 2026 State of the Workplace report, AI tool adoption has grown rapidly. The average organization used two AI tools in 2023 and seven by 2025, with 83% of organizations using six or more. Yet most cannot measure whether that investment is paying off.

“Most organizations are making AI decisions without a clear understanding of what’s actually changing,” said Javier Aldrete, Chief Product Officer. “They’re scaling tools without knowing what’s working. What’s needed is a behavioral baseline that shows where AI is used and where it delivers value. That’s what makes smarter decisions possible.”

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Nectar Social and Reddit Announce Strategic Data Partnership

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EPAM and TGS Announce Strategic Collaboration to Accelerate AI Adoption at Scale in Energy Sector

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This partnership brings Reddit’s authentic community conversations into Nectar’s AI-native social commerce platform, enabling brands to build social proof and engage audiences across social and AI-powered discovery

Nectar Social, an AI-native social commerce and community management platform, and Reddit announced a strategic data partnership. Through this partnership, Nectar gains access to Reddit’s Data API, enabling enterprise brands to gain deep insight about products, trends, and sentiment from real human conversations happening across Reddit’s 100,000+ interest-based communities.

Reddit is one of the most influential sources of consumer insight on the internet. Its communities shape how people discover, evaluate, and recommend products and brands. These conversations represent one of the strongest forms of modern social proof, offering unfiltered, experience-driven recommendations that consumers deeply trust. As consumers shift to AI-powered discovery through new tools, community dialogue is becoming a primary input into what brands surface and how they are framed.

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“This partnership gives our customers the ability to understand in real-time what is being said about their brand, identify the right moments to engage, and build the kind of authentic social proof that drives both discovery and conversion,” said Misbah Uraizee, CEO and Co-Founder of Nectar Social.

Reddit data integrates directly into Nectar’s unified platform

Through Reddit’s Data API, Nectar customers gain access to insights from real-time conversations across Reddit’s communities. Reddit data integrates directly into Nectar’s unified platform alongside Instagram, TikTok, Facebook, YouTube, X, and more, providing brands with a comprehensive view of how they are perceived across the social landscape. Nectar automatically surfaces relevant discussions, emerging trends, and sentiment shifts, transforming community conversations into actionable intelligence that informs product, marketing, and customer experience decisions down to the SKU-level.

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“What sets Reddit apart is the depth and authenticity of its conversations,” said Farah Uraizee, CTO and Co-Founder of Nectar Social. “Brands need to understand what people are saying and when it matters, not just that they are talking. Nectar helps brands maintain a continuous pulse on these discussions and show up in the moments that shape perception.”

The Strategic Importance of Authentic Conversation

As consumers increasingly turn to communities for unfiltered product recommendations and brand experiences, the conversations happening on Reddit have become a powerful form of social proof. For brands, competing in categories from beauty to beverage to consumer electronics, maintaining visibility and credibility within these communities is now a strategic imperative.

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BBT Drives 20% Year-Over-Year ARPU Gains Through Experience-First Growth With Calix

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BBT Drives 20% Year-Over-Year ARPU Gains Through Experience-First Growth With Calix

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BBT leverages their investment in the Calix One platform, guided by Calix Success, to launch residential value-based offers that are driving ARPU growth while accelerating their small business expansion with SmartBiz

Calix, Inc. announced BBT drove 20 percent year-over-year growth in average revenue per user (ARPU) by leading with personalized residential experiences—quickly followed by an expansion to serve small businesses. This revenue growth was achieved thanks to their investment in the Calix One™ platform and the award-winning expertise of the Calix Success™ organization. Building on this early residential success with value-based offers built on Calix SmartHome™ and subscriber insights from Calix Engagement Cloud, BBT rapidly deployed Calix SmartBiz™ in just four months to meet initial demand from small businesses in West Texas.

“When teams align around what subscribers actually need—and have the insights to act on it—growth and increased revenue follow naturally. The Calix One platform helps make that shift possible,” said John Durocher, chief operations officer at Calix.

As BBT continues to simplify service delivery and modernize operations, they are also evaluating additional Calix capabilities—including the Calix Agent Workforce™—to further scale Calix SmartLife™ managed services like SmartHome and SmartBiz and support more consistent execution across service and support teams.

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Rusty Moore, general manager and chief operations officer at BBT, said: “Speed alone wasn’t telling our story or our value. With Calix, we changed the conversation to what subscribers can do with their Wi-Fi and how that connectivity fits into their everyday lives. The results were immediate. Our top residential package became the most popular, and we carried that same mindset over to rural small businesses, where security and visibility are top priorities. That confidence is now shaping how we think about extending secure connectivity into the community with Calix SmartTown® and strengthening how our communities connect.”

With SmartLife and the Calix One platform, BBT has transformed their business across residential, small business, and operations by:

  • Turning personalized experiences into measurable ARPU growth. By aligning value-based offers to how subscribers live, BBT accelerated residential adoption, with “Work & Play” emerging as their most popular offer.
  • Extending the same value-based approach to small businesses. Backed by a dedicated business team and Calix GigaSpires® reaching more than half of their small business market, SmartBiz enabled BBT to meet early demand and continue scaling adoption.
  • Translating subscriber insights into targeted engagement with Calix Success. Using data from Engagement Cloud, BBT identified subscribers who would benefit from higher-value experiences and focused outreach to drive adoption of the CommandIQ® mobile app.
  • Applying operational insights to scale efficiency. Calix Business Insights helped BBT identify operational gaps and implement improvements, including GigaSpire upgrades during trouble calls and streamlining subscriber acquisition and support.

Guided by Calix Success, BBT aligned leaders, teams, and messaging around a clear, data-backed go-to-market strategy—including audience targeting, digital optimization, and frontline enablement. These improvements helped BBT simplify subscriber interactions and build a repeatable growth model.

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John Durocher, chief operations officer at Calix, said: “BBT’s success reflects what we consistently see when providers focus on delivering clear value to their subscribers. When teams align around what subscribers actually need—and have the insights to act on it—growth and increased revenue follow naturally. The Calix One platform helps make that shift possible, so communications service providers can scale results without adding complexity and deliver better experiences for their subscribers.”

Discover how SmartLife and the Calix One platform help communications service providers deliver experiences that subscribers value and turn that value into growth across residential and small business markets.

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Canva Acquires Simtheory and Ortto, Boosting AI and Marketing Power

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Canva Acquires Simtheory and Ortto, Boosting AI and Marketing Power

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Canva, the world’s leading visual communication platform,  announced the acquisitions of Simtheory, an AI collaboration and agent management platform, and Ortto, a customer data and marketing automation company, as part of its continued investment in artificial intelligence and marketing infrastructure.

These additions will expand how Canva powers the full workflow from early ideas through to campaign scaling and measurement.

Together, the acquisitions bring complementary strengths across agentic AI, data infrastructure, marketing automation, and customer engagement, accelerating Canva’s ambition to move beyond a design tool and become the system where teams do all of their work from start to finish. These additions will expand how Canva powers the full workflow from early ideas through to campaign scaling and measurement.

Both companies were founded by Chris and Mike Sharkey, previously founders of Stayz, which was acquired by Fairfax Media. They will join Canva in leadership roles across the company’s AI and marketing technology teams.

“We’re excited to welcome Simtheory and Ortto to Canva. They’ve built exceptional teams and technology, and this acquisition marks an important step toward evolving Canva from a design tool into the system where work happens end-to-end, whether it’s a quick idea or a full campaign,” said Cliff Obrecht, Co-Founder and Chief Operations Officer at Canva.

“Simtheory accelerates our evolution from a design platform with AI tools to an AI platform with design and productivity tools at its core. We’re excited to share some of our early work together at Canva Create on April 16, where we’ll unveil the biggest transformation in Canva’s history, reimagining the process of creation, just as we did a decade ago. At the same time, Ortto strengthens our ability to power the entire marketing and content lifecycle through Canva Grow, from planning and creating to publishing and optimising across every channel. This builds on our recent acquisitions of MagicBrief, MangoAI and Doohly, and we’ve only scratched the surface of the opportunity here,” he added.

Simtheory: Every AI Workflow, One Platform


AI has made it easier than ever to get started, but generating something is only one step in a much bigger process. For most knowledge workers, bringing an idea to life is still too complex and disconnected, spread across too many tools, tabs, and workflows.

Simtheory was built to simplify that. Its platform enables teams to think and work with AI, making it easy to build assistants that understand their business, collaborate across tasks and apps, and take on real work with the control and reliability enterprises need.

Known for its work in AI-powered collaboration and multi-model systems, Simtheory allows teams to apply the latest models across a wide range of use cases, and easily set up agentic systems that meet their needs. Since launching, it has quickly gained traction among teams exploring how AI can move beyond generation into execution.

The acquisition lays the groundwork for Canva’s evolution into the system where humans and AI collaborate to go from idea to finished product, which the company will unveil at Canva Create on April 16.

Ortto: Powering the Marketing Lifecycle


Marketing teams today are expected to do more than ever. The average marketer is now creating, launching, and optimising campaigns across an expanding number of channels, often using fragmented tools and disconnected data. Ortto brings these workflows together.

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Ortto combines a customer data platform with powerful marketing automation, enabling teams to design and orchestrate journeys across email, SMS, push notifications, in-app messaging, forms, and surveys, all within a single system.

With an event-driven architecture and no-code integrations, Ortto makes it easy to connect and activate customer data in real time, helping teams deliver more personalised and effective campaigns at scale. The platform is trusted by more than 11,000 customers across 190 countries.

The acquisition strengthens Canva Grow and builds on Canva’s recent additions of MagicBrief, MangoAI, and Doohly, accelerating its ability to power the full marketing and content lifecycle, from ideation and creation through to deployment, measurement, and optimisation.

The Ortto team will continue to support and maintain the Ortto product while bringing their expertise to Canva Grow.

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“We’re thrilled to be joining Canva. The opportunity to bring our technology to the quarter of a billion people using Canva every month and to help more people make the most of AI in their everyday work is incredibly exciting to us. It’s rare to find such strong alignment in mission and values,” said Mike Sharkey, Co-Founder and Chief Executive Officer of Ortto and Simtheory.

“From day one, we’ve been working to make complex things simple with both Simtheory and Ortto, and we can’t wait to continue doing that on an even larger scale as part of Canva,” he added.

Today’s announcement reflects Canva’s continued momentum and long-term focus on building a platform that supports every stage of the process of creation, now used by more than 265 million people each month.

The announcement comes ahead of Canva Create on April 16, where Canva will unveil its next major step forward, and the biggest evolution in its history, as it reimagines how the world creates.

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MediaRadar Launches the First Market-Level View of the Advertising Ecosystem for Media Owners

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MediaRadar Launches the First Market-Level View of the Advertising Ecosystem for Media Owners

Building on MediaRadar’s Competitive and Commercial Intelligence solutions, the new Market Intelligence offering delivers a strategic market view for modern media organizations.

MediaRadar announced a major expansion of its intelligence suite, introducing the first comprehensive market-level view of the advertising ecosystem purpose-built for media owners. In an increasingly fragmented and fast-moving media landscape, the new Market Intelligence solution equips media sellers with the strategic visibility needed to align growth strategy with where advertising dollars are actually moving.

As advertising investment shifts across streaming, digital, social, and traditional channels, media organizations face mounting pressure to interpret market signals quickly and translate them into revenue action. Yet most media teams still rely on siloed reports, static benchmarks or backward-looking snapshots of spend.

MediaRadar’s Market Intelligence changes that dynamic by delivering a real-time, top-down view of advertising investment across industries, categories and channels — giving leadership teams a clearer understanding of growth sectors, emerging threats and whitespace opportunity.

“For years, media sellers have had access to data but not perspective,” said Matthew Krepsik, CEO of MediaRadar. “What they’ve needed is a market-level lens: a way to see how advertising dollars are flowing across the ecosystem and what that means for their competitive position and revenue strategy. This launch delivers that strategic command view.”

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From Market Visibility to Revenue Strategy

The new Market Intelligence solution, especially powerful alongside MediaRadar’s existing intelligence capabilities, is designed to support decision-making across the modern media organization:

  • Market Intelligence delivers real-time visibility into where advertising investment is accelerating, contracting or shifting across channels, industries and advertiser segments. It enables executives to identify growth sectors and shape long-term strategy with confidence.
  • Competitive Intelligence provides clarity into share of wallet, positioning and category dynamics. It equips research and strategy teams to benchmark performance and refine go-to-market priorities.
  • Commercial Intelligence converts market and competitive signals into prioritized advertiser opportunity. It empowers revenue teams to focus on the accounts most aligned with market momentum.

Together, these capabilities create a continuous line of sight from macro market shifts to direct revenue action, narrowing the gap between insight and execution.

Validated By Industry Leaders

The expansion follows a four-month pilot with leading media and technology partners. Several participants are continuing their collaboration with MediaRadar as part of the company’s Early Adopters Program, helping to refine product capabilities, validate emerging use cases, and shape how modern media organizations operationalize market-level advertising intelligence.

Early results highlight how access to market-level visibility is already changing how revenue teams operate.

“Understanding an advertiser’s promotional focus at a glance is incredibly powerful,” said Tara Rohde, Senior Sales Director at SiriusXM. “It allows us to time our outreach strategically and build pitches that align with where their investment and messaging are headed, not where they’ve already been.”

For revenue teams, this translates into more precise prioritization and more proactive engagement with advertisers based on where growth is emerging.

“Seasonal patterns add another layer of strategic insight,” added Rohde of SiriusXM. “Being able to see when advertisers historically ramp up investment helps us anticipate demand, prepare smarter proposals, and engage brands at the moments that matter most.”

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Built for the Modern Media Organization

Unlike point solutions designed to serve a single function, MediaRadar’s expanded intelligence suite supports cross-functional alignment across executive leadership, research, RevOps and sales teams.

Powered by MediaRadar’s universal brand identity system and shared data foundation, the Market Intelligence solution integrates with the MediaRadar Data Cloud — enabling organizations to activate advertising intelligence within enterprise data warehouses, analytics environments and AI systems. Whether accessed through the platform or embedded directly into enterprise infrastructure, media owners can operationalize market signals at scale.

As the advertising landscape continues to evolve — from streaming sports and retail media networks to social commerce and local digital expansion — MediaRadar provides the clarity needed to compete with confidence.

Establishing a New Standard for Media Seller Intelligence

With the introduction of Market Intelligence, MediaRadar establishes a new standard for how media owners interpret advertising markets and translate signals into strategy. Flexible packaging options allow organizations to deploy market, competitive or commercial intelligence based on their business priorities.

“This marks a pivotal moment for media sellers,” said Krepsik. “When you can see the market clearly, understand your competitive position and align your revenue teams around real-time opportunity, growth becomes more intentional and more predictable.”

To support the next phase of development, MediaRadar is inviting a select group of media organizations to participate in its Market Intelligence Early Adopters Program. Founding participants will collaborate directly with MediaRadar’s product and data teams to help shape how market-level advertising intelligence is operationalized across research, strategy and revenue organizations.

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EveryDev.ai Launches a Free, Developer-Run Home for AI Builders

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Robutler Launches Unified Infrastructure Platform for AI Agent Commerce

1,800+ AI developer tools, side-by-side comparisons, trending topics, weekly digests, and a growing developer community

EveryDev.ai, a free, developer-run platform for people building with AI, launched on Product Hunt this week after cataloging more than 1,800 AI developer tools and growing to over 1,000 users through early organic growth.

With AI, everyone is a dev. EveryDev.ai is where people building with AI discover tools, compare them, and learn from each other.”

— Joe Seifi, Founder of EveryDev.ai

EveryDev.ai was built to solve a simple problem: the AI tooling ecosystem is moving faster than most developers can realistically track. New models, frameworks, coding assistants, APIs, and infrastructure tools appear constantly, while research is scattered across blog posts, Reddit threads, social posts, and vendor marketing pages.

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The platform brings that research into one place. Developers can browse the AI developer tools directory, compare tools side by side, track trending topics, read ratings and reviews, follow discussions, and keep up through weekly digests and a daily news feed.

“I built EveryDev.ai because the AI tooling space was getting harder and harder to keep up with,” said Joe Seifi, founder of EveryDev.ai. “With AI, everyone is a dev, but there still wasn’t a clear, trusted place to discover useful tools, compare them, and learn from what other builders are actually using.”

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Seifi built EveryDev.ai as a solo, bootstrapped project after spending most of his career in tech at companies including Apple, Disney, Adobe, and Zillow. The platform has grown through word of mouth, with a community of developers using it to discover tools, share what they are building, and follow changes across the AI development ecosystem.

In addition to letting developers compare AI developer tools, EveryDev.ai includes developer profiles, community reviews, threaded discussions, trending topic tracking, curated weekly news coverage focused on AI development, and community coding contests.

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quantilope Launches ‘Ad Optimizer’: Leveraging AI to Bridge the Gap Between Creative Intuition and Brand Strategy

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quantilope Launches 'Ad Optimizer': Leveraging AI to Bridge the Gap Between Creative Intuition and Brand Strategy

quantilope, the leading provider of automated consumer insights, announced the launch of its Ad Optimizer, a sophisticated AI-driven research solution designed to help brands refine their advertising strategies and maximize ROI before they go to market.

In an era where consumer attention is fragmented and media budgets are under increasing scrutiny, quantilope’s Ad Optimizer provides marketers with a scientifically rigorous, automated framework to evaluate their creative concepts. By integrating advanced research methodologies with the platform’s speed and ease of use, the tool ensures that every ad campaign is grounded in deep consumer understanding.

The Ad Optimizer empowers marketers and insights professionals to upload creative assets for an AI-driven frame-by-frame analysis of on-screen imagery and its accompanying audio. The tool’s analysis is based on the presence and consistency of Category Entry Points (CEPs): the specific needs, occasions, or situations that trigger consumers to think about a product category and the brands within it. By mapping assets against user-provided CEPs, the tool highlights exactly where an ad successfully triggers key buying motivations — and where it falls short. With actionable suggestions to bridge these gaps, brands are left with a clear roadmap to refine their messaging, capture consumer motivations, and maximize brand saliency in a crowded marketplace.

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“Advertising only works if it activates the right Category Entry Points — the cues and triggers that drive category decisions. Our Ad Optimizer gives brands a way to see early in the creative process, before a campaign goes live, whether their creative is actually building the Mental Availability that translates into purchase — and where to sharpen it if it isn’t,” says Jannik Meyners, Vice President of Data Science & AI at quantilope.

Key Features and Benefits of quantilope’s Ad Optimizer Include:

  • Holistic creative evaluation: Analyzes an ad’s visual components and accompanying audio by measuring the presence and consistency of Category Entry Point messaging.
  • Rapid speed-to-insight: Delivers comprehensive results in a fraction of the time of traditional research methods, enabling brands to iterate and optimize before their campaign goes live.
  • Intuitive visualization: Provides easy-to-interpret dashboards that highlight clear “areas for improvement,” making it simple for stakeholders to act on the data.

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As Peter Aschmoneit, quantilope CEO and Co-Founder, adds:

“The launch of our Ad Optimizer marks a significant expansion of quantilope’s end-to-end Consumer Intelligence Platform. It bridges the gap between creative intuition and data-driven precision, ensuring that brands no longer have to choose between moving fast and being right.”

The Ad Optimizer is the latest addition to quantilope’s brand growth system. It works in harmony with quantilope’s other platform research solutions to offer a new layer of insights and drive strategic growth.

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Gen Alpha Leads Shift to AI-Powered Entertainment Search, Discovery and Recommendations

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Gen Alpha Leads Shift to AI-Powered Entertainment Search, Discovery and Recommendations

New Gracenote study finds behavioral change well underway, but trust in AI-generated results has not kept pace

Gracenote, the content intelligence business unit of Nielsen, has examined how AI is changing the ways people find and watch entertainment content in a new report titled “TV Search and Discovery in the AI Era.” As adoption of AI-powered entertainment experiences grows — especially among older Gen Alpha respondents (ages 13 and 14) — trust in chatbot-generated responses to content-related queries is lagging.

Gracenote found that usage of chatbots for a range of purposes is gaining traction across generations, with 66% reporting increased use over the past 12 to 18 months. Among Gen Alpha, that figure rises to 80%, and more than half say they use chatbots daily.

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That momentum is already shaping how this group discovers entertainment. When asked to name the best source for TV and movie recommendations, 49% of Gen Alpha chose web- and app-based AI chatbots, topping streaming and cable service user interfaces and program guides (41%) and internet search engine results (11%). The trend extends beyond Gen Alpha: 57% of all respondents said these tools could become, or already are, their favored way to get information on why, where and when to watch content.

At the same time, the data points to a growing divide between AI’s utility and users’ trust in its results. Respondents prefer chatbots over traditional search for complex questions (68% vs. 19%), follow-up questions (69% vs. 18%), direct answers (54% vs. 31%) and comprehensive results (50% vs. 30%). Traditional search, however, still leads on trustworthiness (50% vs. 27%) and accuracy (46% vs. 33%).

“People are rapidly embracing AI as a new way to search, discover and decide what to watch, especially Gen Alpha audiences, who already expect easy-to-use, conversational interfaces,” said Tyler Bell, SVP of Product at Gracenote. “But adoption alone is not the story: trust is. The winning platforms will be those that can deliver viewing experiences people can actually rely on — grounded in vetted, timely and high-quality data.”

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Skepticism regarding the accuracy of AI-generated results remains high, with three in four respondents saying they verify chatbot responses, mostly by cross-checking with internet search. That same caution carries into entertainment-specific use cases, such as content recommendations and program availability. While 92% of those surveyed rated internet search accuracy for entertainment as good or excellent, 85% said the same of AI. Notably, among Gen Alpha, the gap nearly vanishes, with 95% rating chatbot results favorably versus 99% for traditional search. Across the study, chatbots were trusted most for TV and movie recommendations (26%) and for helping users find TV, movie and sports programming (25%).

Gracenote’s report comes as entertainment providers face mounting pressure to improve discovery in an increasingly fragmented content landscape. As libraries expand across services and platforms, audiences are spending more time choosing what to watch and placing greater value on tools that deliver immediate, accurate and relevant answers.

For streamers, device makers and media companies, the message is clear: helping audiences find programming faster and act on recommendations with confidence will depend not just on AI interfaces, but on the quality of the data powering them.

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Genpact and Parallel Web Systems Partner to Drive Tangible Efficiency from AI Systems

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Genpact and Parallel Web Systems Partner to Drive Tangible Efficiency from AI Systems

Integrating Parallel’s API helps Genpact automate and improve research workflows in insurance and sales

Genpact, an agentic and advanced technology solutions company recognized for its deep industry knowledge, process intelligence, and last-mile expertise, and Parallel Web Systems (Parallel), a pioneering Silicon Valley startup building the open web for AI, announced a partnership leveraging Parallel’s AI-native web agents and web search tools, available through application programming interface (API) technology, to transform how Genpact addresses enterprise challenges in information search and retrieval and web intelligence across business operations.

Applying Genpact’s differentiated domain expertise to Parallel’s AI-native web research API built for agentic workflows
Purpose-built to embed research capabilities directly into AI agents, automated workflows, and enterprise systems, Parallel is now part of the Genpact Enterprise Reference Architecture for AI systems requiring robust research infrastructure, including:

  • Faster, more consistent product research and price matching for contents claims in insurance: Genpact leverages Parallel’s advanced web research capabilities to automate line-item pricing for like-kind-and-quality (LKQ) replacements in contents claims settlements. Parallel’s Task API enables Genpact to transform manual price intelligence into Property Contents Pricing AI Assist, a scalable, rule-based AI system with agents for interpretation, research, and reasoning. Property Contents Pricing AI Assist is integrated into production with two of the top 10 U.S. property and casualty (P&C) insurers and has improved speed and consistency in LKQ settlements, including 55% touchless processing, 50% reduction in cycle time, and most importantly, indemnity accuracy through precise pricing.
  • Real-time business insights and account intelligence in sales: Genpact uses Parallel to automate research on clients and prospects for better outreach strategies. Parallel’s Task API helps Genpact replace manual investigation and static tools with Meeting Assist, an automated, real-time, account-based AI system comprised of agents for intelligence on accounts, financials, competitors, decision makers, and buying centers. In production with Genpact’s field organization, the deep search and high confidence enabled by Meeting Assist helps the sales team identify the best triggers and signals to inform outreach, increasing efficiency and scaling client engagement.

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Building trust in agents using real-time context and verification
Parallel’s API, which operates on the premise that the future of web browsing will be dominated by AI agents, enhances the ability to retrieve real-time, relevant, and highly accurate information from the web. Parallel’s innovative technology improves enterprise decision-making by significantly enhancing open web information searches and quality of results, including full source traceability and confidence scores.

“While automation attempts struggle with real-world complexity, especially in highly regulated industries, our partnership with Parallel replaces repetitive human effort with continuous agentic research that integrates seamlessly into enhanced decision-making systems,” said Sanjeev Vohra, Chief Technology & Innovation Officer at Genpact. “By combining Genpact’s industry and domain expertise with Parallel’s groundbreaking AI capabilities, we are poised to deliver exceptional value to clients.”

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While large language models (LLMs) are limited by their training data cutoff, Parallel enables Genpact to give its agents live context, or access to the short-term memory of the web including real-time news, regulatory changes, and market shifts. Additionally, Parallel’s API provides evidence-based outputs with clear source citations, which is critical to clients in highly regulated sectors such as finance, insurance, and healthcare.

“Parallel’s API are purpose-built for encoding complex business rules into automated web research workflows – a perfect pairing to Genpact’s domain and industry expertise,” said Parag Agrawal, Founder and CEO of Parallel Web Systems. “By providing Genpact with a single infrastructure layer that can research across the open web programmatically, we’re helping clients bring efficiency, precision, and confidence to those workflows.”

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DataVeil Version 5 Adds PostgreSQL Support for Enterprise Static Data Masking

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digna 2026.04 Expands Time-Series Analytics and Data Validation for Enterprise Data Platforms

DataVeil Technologies

Version 5 extends DataVeil’s database-agnostic static data masking solution to PostgreSQL and PostgreSQL-compatible platforms such as Amazon Aurora PostgreSQL and Google AlloyDB.

DataVeil Technologies has released DataVeil Version 5, adding support for PostgreSQL and extending its static data masking solution to one of today’s fastest-growing database ecosystems.

With Version 5, organizations can now use DataVeil to mask sensitive data in PostgreSQL and PostgreSQL-compatible platforms such as Amazon Aurora PostgreSQL and Google AlloyDB. The new support is delivered through the same database-agnostic DataVeil workflow already used for SQL Server, Azure SQL Database / Managed Instance, Oracle, and MySQL.

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DataVeil is designed for static data masking that permanently replaces sensitive data in a copy of a production database so the data can be used more safely in development, testing, QA, analytics, training, support and other non-production environments.

“PostgreSQL is continuing to gain momentum across enterprise environments, and organizations need safe, realistic data for non-production use,” said Terry Swiatkiwsky, Director of DataVeil Technologies. “DataVeil Version 5 brings enterprise-grade static data masking to PostgreSQL, making it easier for organizations to protect sensitive data without adding complexity to development, testing, and migration projects.”

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DataVeil Version 5 addresses the capabilities organizations prioritize in a static data masking solution, including:

  • Consistent masking across related data
  • Preservation of referential integrity
  • Realistic masked values for useful testing
  • Format-preserving masking
  • Sensitive data discovery support
  • Project-based masking definitions
  • Reusable masking components across multiple projects
  • Command-line automation for repeatable execution
  • A consistent user experience across multiple DBMS platforms

A key benefit of DataVeil is its database-agnostic design. Users work with the same masking concepts and project structure across supported databases, making it easier to standardize masking practices across mixed environments.

This also makes DataVeil especially valuable for organizations migrating to PostgreSQL. Existing masking definitions used for SQL Server, Azure SQL, Oracle, or MySQL can be easily switched to PostgreSQL, avoiding migration issues with tools that require a different approach for each database platform.

DataVeil has been in general release since 2013 and is focused on helping organizations protect sensitive data while keeping non-production data realistic and usable.

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BrightLocal launches AI Insights to help businesses navigate increasingly complex local search

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BrightLocal launches AI Insights to help businesses navigate increasingly complex local search
  • New feature consolidates search visibility signals across rankings, Google Business Profile reviews, citations and content

  • Built upon BrightLocal SOPs and local SEO playbooks, AI Insights is powered by 16 years of expertise

As local search becomes increasingly complex to manage across platforms, BrightLocal has launched AI Insights, a new feature designed to help businesses turn growing volumes of search data into clear, actionable next steps.

The launch comes as BrightLocal research shows consumers now check an average of six different review sites before choosing a business, raising the pressure on brands to maintain consistent, high-quality visibility across multiple platforms.

“This isn’t a UI refresh or a simple chatbot wrapper,” said Myles Anderson, CEO at BrightLocal. “AI Insights is the first step in our evolution. We are transitioning from a platform that shows you what happened, to one that tells you exactly what to do next and ultimately, a platform that puts local growth on autopilot.”

While access to data has increased, many businesses and agencies still spend hours manually reviewing rankings, reviews, listings and content to determine what to prioritize. AI Insights helps to address this challenge by analyzing performance across key local search signals and delivering prioritized recommendations on where to focus for the greatest impact, acting as a built-in, always on local search expert.

Marketing Technology News: MarTech Interview with Stephen Howard-Sarin, MD of Retail Media, Americas @ Criteo

Key capabilities of AI Insights

  • Prioritization engine: Moves beyond generic suggestions to rank actions based on ease, speed and potential impact on visibility.
  • Exclusive insights: Powered by 16 years of expertise, the engine uses local-specific playbooks rather than generic LLM logic.
  • Agile and robust validation: Instantly analyzes rankings, GBP health, citations, and content to identify advanced issues like “category dilution” that are often missed by human audits.

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Empowering small businesses and scaling agencies

AI Insights is designed to solve two distinct pain points in the local search ecosystem for small business owners, agencies and consultants. For small businesses, the feature simplifies complex SEO data into clear next steps. For agencies and consultants, it accelerates audits and supports more consistent, data-backed recommendations at scale that help build client trust.

“AI Insights really opened my eyes. I updated my meta titles and descriptions based on its suggestions, and my rankings jumped immediately. I’m now ranking around number 10 for my main keyword, where I was pages down before,” said Jeremy Raymond, Founder and CEO at East Texas Title & Loan.

By moving from reports to insights, BrightLocal is working toward a point where AI agents will not only recommend actions but help execute them to drive local growth autonomously.

“This tool serves as a vital backstop for my local marketing service. It reinforces my findings and provides highly specific, actionable ideas that I can turn into strong recommendations for my clients. It has become such a good feature that I would be genuinely disappointed if I no longer had access to it,” said Travis Staut, Founder and Lead Strategist at Scrappy Marketing.

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Topsort Integrates Google Ad Manager to Maximize Retail Media Revenue from Every Impression

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Shopper Receptivity to In-Store Advertising Hits an All-Time High, per Grocery TV Research

Topsort secures $20M Series A Funding to Lead Post-Cookie Advertising Revolution

New Google Ad Manager integration increases advertiser demand for marketplace ad inventory

Topsort, an AI-native, auction-based retail media infrastructure company powering marketplaces and retailers worldwide, today announced the integration of Google Ad Manager (GAM) to help retailers capture more revenue with increased advertiser demand for their inventory.

As retail media programs scale, ad operations teams are responsible for managing increasing volumes of inventory across multiple placements and demand sources. To help manage this complexity, retailers and marketplaces are looking for new ways to maximize their ad revenue without adding to their operational challenges.

By integrating GAM Topsort partners can improve monetization by expanding advertiser demand beyond Topsort’s core auction with ease. GAM immediately provides retailers access to additional external demand to fill their inventory.

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“Retail media is becoming a core revenue driver for marketplaces,” said Regina Ye, CEO of Topsort. “adding GAM ensures our customers can capture value from every impression, helping them improve yield, increase efficiency, and build a more resilient monetization strategy.”

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Maximize Revenue from Every Impression

Through this workflow, retail media teams can:

  • Expand demand beyond retail media: Tap into GAM open auction and direct deals, including non-endemic advertisers.
  • Improve overall monetization performance: Capture incremental revenue and strengthen yield across all your placements.
  • Built for the AI-Native Future of Retail Media: GAM integrates directly into existing retail media infrastructure, supporting fast deployment and minimal operational overhead.

The launch reinforces Topsort’s mission to build AI-native retail media infrastructure that helps enterprise marketplaces maximize inventory value, scale monetization efficiently, and operate with greater control and transparency.

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New Research Finds AI Is Now Foundational to Modern Marketing

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New Research Finds AI Is Now Foundational to Modern Marketing

NetApp Logo

AI’s Impact on Marketing Doubles as Teams Move from Experimentation to Embedded Use

NetApp® , the Intelligent Data Infrastructure company, announced its participation in a new marketing research study conducted by Callan Consulting, a Silicon Valley executive marketing consulting firm, joining 18 B2B and B2C technology companies to examine how AI is reshaping modern marketing organizations, marking a clear shift from early experimentation to embedded, enterprise‑wide adoption.

According to the State of AI in Technology Marketing 2026 report, based on in‑depth interviews with CMOs and senior marketing leaders at the participating companies, the study finds that AI is becoming rapidly integrated across core marketing teams and workflows—from content development and research to campaign optimization and analytics. As adoption deepens, data quality, accessibility, and governance are emerging as critical priorities.

“AI doesn’t change what great marketing is supposed to do. It just removes the excuses for not doing it,” said Gabie Boko, Chief Marketing Officer at NetApp. “When your data is clean, accessible, and trusted, your team stops managing chaos and starts making decisions. That’s when you get to the work that actually moves the business.”

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The report highlights several notable changes since Callan Consulting’s prior study dated November 2024, including the emergence of “Born in AI” companies that built marketing organizations around generative AI from day one, the rapid expansion of AI use cases across the marketing lifecycle, and the growing importance of new disciplines such as Answer Engine Optimization (AEO) as customers’ buying patterns shift toward AI‑driven interfaces.

While enthusiasm for AI adoption is high, marketing leaders also point to ongoing challenges. Many respondents cite difficulty measuring AI’s direct return on investment, with benefits more often seen anecdotally in speed, output, and cost avoidance rather than traditional performance metrics. The findings also reinforce the danger of overreliance on AI and the importance of maintaining human oversight, governance, and input as AI‑generated content becomes more prevalent.

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“What’s changed most dramatically since our last study is that AI is no longer treated as a bolt‑on or side project,” said Ed Callan, Chief Executive Officer at Callan Consulting. “Marketing leaders now view AI as a baseline expectation, similar to analytics or marketing automation. At the same time, we’re starting to see signs of overreliance on the tools, with leaders recognizing that human judgment, creativity, and discipline are more important than ever.”

Looking ahead, marketing leaders expect deeper AI integration over the next 12 months, including increased use of agentic AI, consolidation of marketing technology stacks, and continued evolution in how brands engage both human buyers and AI‑driven decision systems.

“In an era of AI-driven content, marketers struggle to drive visibility and differentiation. Now with answer engines fast becoming the new way of search, it’s an opportunity to put content back in the strategic seat—intelligent content that is structured, accurate, trustworthy, and accessible to everyone,” said Jen Jones, CMO of Siteimprove and one of the contributors to the report. “Marketers will still need to be successful in traditional SEO, and AEO is the expanded discipline that moves beyond rankings and into answer engines.”

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Mundial Media Appoints Matt Weisbecker as Chief Revenue Officer

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Mundial Media Appoints Matt Weisbecker as Chief Revenue Officer

Mundial Media

Seasoned revenue executive joins to lead commercial expansion of Cadmus AI platform

Mundial Media, an AI-powered advertising platform purpose-built to deliver cultural precision at scale, announced the appointment of Matt Weisbecker as Chief Revenue Officer.

Matt’s track record of building strong revenue organizations speaks for itself

Weisbecker brings deep experience scaling revenue in multicultural media. At My Code, a five-time Inc. 5000 company, he served as Chief Revenue Officer and was a driving force behind the digital advertising growth that put leading brands in front of the country’s fastest-growing consumer audiences.

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“The underinvestment in tools designed for multicultural audiences has created a significant and largely uncaptured market opportunity,” said Weisbecker. “Cadmus AI addresses that gap with a level of precision and scalability that has not previously existed in this category. Having evaluated this platform firsthand, I am confident in its capacity to become the definitive infrastructure layer for culturally intelligent advertising.”

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In this role, Weisbecker will direct Mundial Media’s national sales organization, own revenue strategy, and lead the commercial scaling of Cadmus AI, the company’s proprietary machine learning engine trained on more than three years of compounded cultural data. The platform provides brands with nuanced contextual targeting across a premium publisher network, enabling access to consumers in brand-safe, high-quality environments.

Weisbecker’s career spans more than 30 years of senior revenue leadership across media and advertising technology, including tenures at AOL, Epsilon, GumGum, Amazon Media Group, and NBCUniversal.

“Matt’s track record of building strong revenue organizations speaks for itself,” said Tony Gonzalez, CEO and Co-Founder of Mundial Media. “He understands how to translate platform capability into commercial outcomes. Having him in this seat full-time is an exciting moment for this company.”

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MERGE Launches Humanity Suite: A New Operating Model for the AI-Empowered Agency

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CrossCheck Media Inc. Announces Launch of the Biz Talk Today TV App

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MERGE announced the launch of the Humanity Suite, an orchestrated system of six offerings designed to turn the noise of an AI-driven world into clarity for brands and their audiences. Incorporating the themes of MERGE’s AIgency, the Humanity Suite is the new operating model for the AI-first era, scaling human-centered marketing.

Responding to a Changing Industry
The marketing landscape has reached an inflection point where the demand for speed and hyper-personalization often challenges opaque performance models and fragmented and disjointed technology. A Qualtrics 2026 Consumer Experience Trends Report states personalization remains a differentiator, with 64% of consumers preferring tailored experiences alongside data transparency and data control. Yet organizations are struggling with over-automation and poorly tuned AI that can treat people as data points rather than whole humans.

“The AI paradigm shift is elevating the human touch as the differentiator it should’ve always been while simultaneously democratizing and scaling tech-enabled opportunities. The Humanity Suite is MERGE’s answer to the future of whole human marketing,” said Stephanie Trunzo, MERGE CEO.

This new operating model is designed for the speed and scale of AI to clear the noise, allowing a more dynamic connection with your audience. By automating the ordinary, we empower humans to focus on the extraordinary: scaling human empathy, creativity, and judgment to create genuine moments that are meaningful and personal. The name Humanity Suite embodies MERGE’s belief that data-driven intelligence must work alongside humanity.

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“At Baptist Health, we believe innovation is only valuable if it improves the human experience,” said Alex Piña, Director of Marketing Technology at Baptist Health. “As healthcare navigates a massive transformation, we need partners who are architects of the future, not just occupants of the present. MERGE has consistently proven their ability to blend rigorous strategy with deep empathy, and the vision behind Humanity Suite confirms they are the right partner to help us navigate an AI-first world.”

Solving Core Business Pressures
MERGE reengineered its value delivery to address specific industry bottlenecks through an integrated system.

  • Three foundation offerings allow brands to architect their MarTech for context-aware consumer journeys, design for personalization at scale, and translate data into next-best-action decisions.
    • MarTech Contextual Platform: Unifies disconnected architectures and enables AI-ready activation, architecting data and workflows so existing investments work together.
    • Adaptive Creative System: Replaces production bottlenecks with scalable, data-aware, and AI-enabled creative systems and human-led creativity designed to deliver audience-of-one personalization at scale.
    • Predictive Decision Engine: Moves CRM from reactive outreach to predictive, proactive, next-best-action intelligence that anticipates disengagement and drives growth, trust, and lifetime value.
  • Three impact offerings optimize insights across a spectrum of shifting contexts and channels, reorient customer journeys into rich moments, and evolve with AI using tools and capabilities that speak directly to consumers.
    • Strategic Growth Accelerator: Replaces static annual planning with an integrated, optimized, AI-powered commercial roadmap that adapts strategy in real time.
    • Whole Human Experience Orchestrator: Reorients flat journeys into meaningful moments, balancing automation and empathy so experiences feel contextual, trusted, and human.
    • Applied AI Blueprint: Moves AI from pilot purgatory into safe, governed, and scalable production with ethical compliance and oversight built in from the start.

A Partnership Rooted in the Future
The Humanity Suite is engineered to activate and integrate seamlessly within a client’s existing ecosystem, leveraging MERGE’s partnerships with platforms like Adobe, Google, Optimizely, Salesforce, and Sitecore.

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The Humanity Suite is available now, serving as the foundation for MERGE’s mission to help brands make a difference at the intersection of health, wellness, and happiness.

“In the CPG [consumer packaged goods] space, the battle for relevance is won by those who can personalize at scale without losing their brand authenticity and purpose,” said Saverio Spontella, Chief Commercial Officer at Land O’Frost. “As a third-generation, family-owned business, our partnerships are incredibly important to us. We chose to partner with MERGE because they don’t just react to market shifts; they anticipate them. The philosophy behind Humanity Suite aligns with where we take our brand, leveraging advanced technology not to replace human connection but to deepen it.”

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2X AI Innovation Lab: New AI Visibility Index Finds 96% of B2B Companies Are Invisible in AI Discovery

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Focus Is the Moat: Cytation AI Outbuilds the Platforms on Trust by Refusing to Do Anything Else

2X_Logo_2025-02.png

New benchmark reveals most brands appear only after buyers already know them, signaling a fundamental shift in the B2B discovery funnel

The inaugural index analyzed 70 B2B companies to understand how brands appear across generative AI environments used by buyers to research vendors and solutions. The findings reveal a striking gap: only 4.3% of companies maintain a healthy discovery funnel where their brands appear in early-stage buyer questions. The remaining 95.7% appear primarily in queries where buyers already know the company name, meaning they are largely absent from the AI-generated answers increasingly shaping vendor shortlists.

As generative AI becomes a primary research tool for business buyers, companies that fail to appear in AI-generated answers risk losing influence before a sales conversation ever begins.

“CMOs are waking up to a hard truth: you can’t manage what you don’t show up for,” said Lisa Cole, Chief Marketing, Product & AI Officer at 2X. “AI is increasingly shaping perception, trust, and vendor shortlists. If your brand isn’t present in those conversations, you’re effectively invisible to a growing portion of the market.”

The 2X AI Visibility Index benchmarks how often B2B brands appear in generative AI responses across the buyer journey, from early discovery questions to purchase validation queries. The index measures both a company’s technical readiness for AI discovery and the authority signals that influence whether AI systems recommend a brand in response to buyer prompts.

The index is powered by GravityScan™, a proprietary AI visibility audit developed by the 2X AI Innovation Lab. GravityScan™ evaluates how brands appear in AI-driven discovery environments by analyzing visibility across discovery, evaluation, and purchase-stage queries. The analysis also assesses technical and authority signals—including structured data, third-party citations, and review ecosystems—that influence whether AI systems recommend a brand.

The 4% Funnel: Most Brands Are Invisible in Discovery

Data from the 2X AI Visibility Index shows that most organizations now operate with what researchers describe as an “inverted discovery funnel.” Instead of appearing early when buyers are exploring solutions, most companies surface only in later-stage queries where the buyer already knows the brand or category.

This pattern suggests that many organizations are losing influence during the most important stages of the buying journey when needs are being defined, categories are being explored, and vendor shortlists are being formed.

“Artificial intelligence is fundamentally reshaping how B2B buyers discover solutions,” said Will Waugh, Executive Director of the 2X AI Innovation Lab. “General brand awareness is no longer enough. If AI systems don’t recognize your brand as an authoritative answer to buyer questions, you risk losing opportunities before sales teams even know the deal exists.”

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Structural Blind Spots Undermining AI Visibility

The research also identified technical and authority gaps that suppress AI visibility, including:

  • Missing or incomplete structured data
  • Blocked or unmanaged AI crawlers
  • Weak third-party review ecosystems
  • Limited independent citations across the open web
  • Unmanaged community sentiment on platforms such as Reddit

In several cases, billion-dollar enterprise brands scored near-zero visibility for basic category-level queries, demonstrating how quickly traditional market leadership can fail to translate into AI-driven discovery.

“AI models don’t care about org charts or market caps,” Waugh added. “They respond to clarity, consistency, and corroboration across the open web. Companies that don’t adapt their digital presence for AI risk handing narrative control to competitors and sometimes to their critics.”

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Four Stages of AI Visibility Maturity

The 2X AI Visibility Index segments companies into four stages of AI visibility maturity based on readiness, authority, and discoverability:

  • Authority Leaders — companies with strong technical readiness and deep authority signals that consistently appear in AI-generated answers.
  • Strong Contenders — organizations with strong visibility and readiness but less comprehensive authority signals.
  • Paradoxical & Niche Players — companies with fragmented brand authority or strong visibility within narrow domains.
  • Emerging & Lagging — organizations with significant gaps in both readiness and discoverability.

Together, the findings point to a new strategic reality for B2B marketing leaders: the buyer journey is increasingly shaped by AI-generated answers long before a human interaction occurs.

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eGain Announces Enterprise AI Platform Connectors for Copilot, Claude, Gemini, and Cursor

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eGain Announces Enterprise AI Platform Connectors for Copilot, Claude, Gemini, and Cursor

eGain

eGain announced new enterprise AI platform connectors that integrate Microsoft Copilot, Anthropic Claude, Google Gemini CLI, and Cursor with eGain AI Knowledge Hub, the company’s AI-powered knowledge management platform. The connectors allow organizations to ground these AI platforms in a single, governed knowledge source, so every AI model, agent, and agentic developer environment can use accurate, up-to-date knowledge rather than fragmented and outdated sources.

Studies from MIT and leading analyst firms show that enterprise AI initiatives fail at high rates when they lack a governed knowledge foundation. When any AI system pulls from fragmented, ungoverned sources, it produces contradictory outputs, creates compliance exposure, and stalls AI adoption.

Open knowledge architecture that works with any AI or IT platform

The new AI platform connectors are part of the eGain AI Knowledge Connector family, a broader integration architecture that unifies and governs enterprise knowledge. They give enterprises a single governed knowledge foundation that works across any AI vendor, platform, or tool. This matters especially as enterprises move from AI that answers questions to AI that takes actions. When agents act autonomously on behalf of employees and customers, ungoverned knowledge doesn’t just produce wrong answers, it causes agents to amplify those errors across every interaction, creating operational and compliance failures that are costly to reverse.

The eGain AI Knowledge Connector family supports Model Context Protocol (MCP), the emerging standard for connecting AI agents to enterprise systems. eGain offers pre-built connectors for leading agentic developer environments including Windsurf, VS Code, and Kiro, and supports any additional MCP-compatible AI platform or agentic framework through its open MCP architecture. Unlike basic retrieval approaches, eGain delivers certified answers with source citations, giving every connected model, agent, and agentic IDE (integrated development environment) access to verified, traceable knowledge. The same governed knowledge that powers customer service and employee productivity can now inform how enterprise software is built, not just how it is used.

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With the new eGain AI Knowledge Connectors, enterprises can now:

  • Give Microsoft Copilot a trusted knowledge foundation so employees across every workflow get accurate, policy-compliant answers and actions without switching tools.
  • Ensure every Claude deployment, from custom applications to full agentic workflows, operates from the same governed enterprise content, delivering consistent, compliant answers and actions.
  • Connect Google Gemini across Workspace, Cloud, and developer tools to a single governed knowledge source, so every team in your Google ecosystem gets accurate, consistent answers and actions.
  • Keep AI-assisted development in Cursor and other leading agentic IDEs, including WindsurfVS Code, and Kiro, grounded in governed enterprise knowledge, so engineering teams move faster without losing traceability or compliance.

“In a world where AI is no longer just answering questions but performing assured actions on behalf of employees and customers, the quality of your knowledge determines the quality of your AI,” said Ashu Roy, CEO of eGain. “These new enterprise AI platform connectors allow organizations to apply one trusted knowledge foundation across Copilot, Claude, Gemini, Cursor, and whatever comes next.”

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According to Gartner, “Enterprises recognize modern knowledge management as a prerequisite for implementing successful generative AI or agentic AI solutions to improve customer service, employee productivity, and customer experience.”1

Connecting Knowledge Across Your Entire IT Ecosystem

eGain AI Knowledge Connectors are organized into four categories that work together to unify, govern, and deliver enterprise knowledge across any platform:

  • Content Connectors gather content and signals from systems such as policy repositories, CRM knowledge, SharePoint, Confluence, and conversation archives so teams do not have to rebuild what they already have.
  • Data Connectors provide direct access to enterprise data, delivering the right information to the right people and systems in real time, so every interaction has the context it needs to produce accurate, trusted answers, without the overhead of traditional integration pipelines.
  • Experience Connectors deliver trusted answers to the places where work happens, including Salesforce and SAP desktops, collaboration systems, ticketing tools like Zendesk, contact center platforms such as Amazon Connect, Genesys, and Talkdesk, and agentic developer environments like Cursor.
  • Process Connectors integrate identity, access rules, AI model choices, and business policies so AI remains accurate, compliant, and within approved boundaries. They ensure that answers and actions consistently follow enterprise rules and required steps, even when delivered by different AI models, and provide an auditable confirmation trail for every interaction.

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Preciso launches Ultima for Publishers Plugin

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Preciso launches Ultima for Publishers Plugin

WordPress tool will enable publishers to increase revenues using brand-safe, native advertising placements

Preciso has launched a timely new plugin, Ultima for Publishers, which enables publishers to generate additional revenues from their websites.

Ultima for Publishers is designed for sites running on WordPress, the most widely-used publishing platform. The Ultima for Publishers WordPress plugin enables publishers to choose where to place native advertising units on their sites, and monetise them with reputable, brand-safe ads which respect the user experience – with no gambling or adult advertising content, and no pop-unders or intrusive banners.

Ultima is Preciso’s targeted native advertising solution. It uses machine learning technology to create personalised campaign creatives and automatically embed them within web pages to combat banner blindness and drive meaningful engagement at scale.

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In tests, Ultima has been shown to deliver a CTR of 2.1% (vs 1.84%  Industry Average), an engagement rate of 65.94% (vs 60.03% Industry Average) and an Average Session Duration of 3m 46s (vs 2m 40s Industry Average).

“It has become increasingly difficult for publishers to monetise their traffic in recent times,” said Preciso CEO, Piero Pavone. “This solution offers a simple way for the huge number of publishers running on WordPress sites to increase their revenues by as much as 50%, through native advertising that adds to the user experience, rather than interrupting it – all managed by Preciso.”

Consumers have steadily become less tolerant of disruptive ads when browsing or shopping online, and are increasingly blind to more traditional advertising banners. As a result, the value of native advertising has never been greater, and the global market for native is set to reach $400bn this year.

A massive 43.6% of all websites on the internet use WordPress, including more than a third of the top million sites. More than 500 new sites are built on WordPress every day.

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Ultima for publishers is available now. Any publishers interested in unlocking a new revenue stream to their site without complexity should simply install Ultima Publisher directly from their  WordPress plugin and start monetising their content immediately.

Preciso is Europe’s fast-growing adtech company, powered by its flagship Smart-Bid technology and delivering client campaigns in just a few easy clicks. Through use of actual customer journey and machine learning, Preciso technology predicts customer behaviour to calculate which display ad placement to buy in a real-time bidding marketplace – boosting relevance and conversion and putting the power back into the hands of advertisers. Founded in Italy by Piero Pavone, Preciso has expanded over the last few years and now has teams in six countries.

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Multimedia Plus Launches MMP AI Studio, Turning Product Content Into Training and E-Commerce Videos in Minutes

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Multimedia Plus Launches MMP AI Studio, Turning Product Content Into Training and E-Commerce Videos in Minutes

Multimedia Plus | INCITE | NRF 2026 Retail's Big Show Exhibitor

New platform eliminates video production bottlenecks, enabling brands to scale training and product content without studios, crews, or long lead times.

Multimedia Plus (MMP), creators of the mobile-first platform INCITE®, today announced the launch of MMP AI Studio, an AI-powered platform that transforms product content into on-brand microlearning and e-commerce videos from simple text briefs. Backed by decades of award-winning video production experience, MMP AI Studio combines creative excellence with AI-driven speed and scale.

Retail brands tell us that they need more video content, faster, and they can’t scale their production budgets to match the pace of their product cycles. MMP AI Studio changes the math entirely.”

— David Harouche, CEO and Founder of Multimedia Plus

Designed for both associate training and digital commerce, MMP AI Studio enables retail brands to generate polished video content for store teams, product pages, and marketing channels in minutes instead of weeks.

MMP AI Studio fundamentally changes the economics of video production, compressing scripting, production, and post-production into a single, streamlined workflow.

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MMP AI Studio addresses two of retail’s most persistent challenges: keeping frontline associates trained on rapidly changing product assortments and producing high-quality product content fast enough to support modern e-commerce.

Traditional video production requires scripting, talent scheduling, studio time, and post-production – a process that can take weeks and cost thousands of dollars per video. MMP AI Studio compresses that entire workflow into a single platform where users enter a product brief and receive a finished, captioned video with an AI-generated virtual presenter, animated product visuals, and a professionally scored music bed.

For example, a retailer can take a new product launch, input key features and positioning, and instantly generate both an associate training video and a customer-facing product video for digital channels.

“Retail brands tell us the same thing: they need more video content, faster, and they can’t scale their production budgets to match the pace of their product cycles,” said David Harouche, CEO and Founder of Multimedia Plus. “MMP AI Studio changes the math entirely. A training manager or e-commerce team can go from a product brief to a finished, multi-language video in the time it used to take just to schedule a shoot.”

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“Our goal has always been to help retailers move with speed and precision while staying connected to what makes each brand unique,” added Jodi Harouche, President and Chief Creative Officer. “MMP AI Studio takes that further than ever before – it puts broadcast-quality video production directly in the hands of the people who know the products best, whether they’re training associates or engaging customers.”

Key capabilities of MMP AI Studio include:

– AI-Generated Scripts and Video Plans: Describe a product and objective, and MMP AI Studio writes, sequences, and produces the video automatically.

– Virtual Presenter Library: A diverse roster of AI-generated on-camera hosts, rendered in brand-specific environments and uniforms.

– Multi-Language Video Generation: Instantly translate, re-voice, and re-render videos in multiple languages with one click.

– Role-Play and Scenario Videos: Two-actor conversational training videos for customer interactions, selling techniques, and compliance scenarios.

– E-Commerce Video Generation: Instantly create product videos for PDPs, digital campaigns, and social channels from existing product content.

– Full Script Control: Edit scripts in-browser, export for review, and regenerate segments without re-rendering the entire video.

– Flexible Delivery: Publish directly to INCITE®, download, export to editing tools, or deliver via SFTP and API.

Unlike generic AI video tools, MMP AI Studio is purpose-built for retail, combining product knowledge, brand standards, and frontline execution into a single platform that serves both training and commerce.

MMP AI Studio is available immediately to select retail partners, with broader rollout planned later this year. The platform is offered as both a standalone product and a premium add-on to INCITE®.

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Trust3 AI Announces Apache Iceberg Integration to Enable Unified Data and AI Governance

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Apache Iceberg integration enables streamlined access, scalability, and reliability for modern enterprise data management and analytics.

Trust3 AI has launched a new Apache Iceberg integration designed to help organizations streamline data management and elevate their analytics capabilities.

The addition of Apache Iceberg integration marks a pivotal milestone for our platform and our customers, enabling the creation of robust, future-proof data environments”

— Don Bosco, CTO/Co-Founder

The release of this native integration coincides with this week’s Iceberg Summit, reinforcing Trust3 AI’s ongoing commitment to advancing open table formats and modern data architectures.

As data volumes continue to grow, organizations face mounting challenges in maintaining performance, governance, and accessibility.The new Apache Iceberg integration allows Trust3 AI users to seamlessly read, write, and manage massive analytic datasets. By adopting the open standard of Apache Iceberg, data teams can avoid vendor lock-in, ensure transactional consistency, and scale their data operations with complete reliability.

In complex data environments, organizations often struggle with fragmented policies, inconsistent masking, and siloed auditing across multiple engines. Trust3 AI addresses these challenges head-on with a suite of practical governance patterns purpose-built for Apache Iceberg.

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By centralizing policy definition, context, enforcement, audit, and access workflows, Trust3 AI enables enterprises to define governance once and enforce it everywhere across batch, streaming, and AI-powered workloads.

This integration significantly accelerates the time-to-insight for enterprises across various industries. Trust3 AI’s integration with Apache Iceberg introduces features such as self-service access with automated workflows, unified context that brings together metadata and lineage from diverse catalogs, and dynamic policy translation for natural language queries. In short, the integration enables data engineers and analysts to now run high-performance queries across complex datasets without worrying about data corruption or manual schema evolution, while maintaining compliance. This frees technical teams to focus on driving strategic business value rather than managing complex governance mandates. infrastructure.

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Built-in compliance, continuous audit monitoring, fine-grained control over service accounts, and consistent policy enforcement across engines ensure that both data products and AI agents can access trusted datasets safely and efficiently.

These governance patterns empower organizations to automate most access requests, tag and propagate sensitive data classifications, and establish real-time, policy-aware controls making Iceberg not just open, but also trusted and AI-ready for enterprise-scale analytics.

This week’s Iceberg Summit serves as a key gathering for data practitioners to discuss the evolution and future of open data architectures. Trust3 AI recognizes the significance of such industry events and remains committed to supporting open standards like Apache Iceberg, which empower organizations to simplify data pipelines, improve analytics performance, and maintain flexibility as their data needs evolve.

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