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MiQ Acquires Adsmovil, Creating Largest Independent Programmatic Offering In Latin America

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Business Wire
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MiQ Acquires Adsmovil, Creating Largest Independent Programmatic Offering In Latin America

Acquisition combines Adsmovil’s market-leading retail media, mobile and DOOH capabilities with MiQ’s AI-powered operating system to serve global brands across the region

Global programmatic media partner MiQ announced that it has signed an agreement to acquire the Latin America business of digital advertising provider, Adsmovil. The combined company will form the region’s largest independent programmatic solution for brands and agencies.

“Acquiring Adsmovil is a major step in our strategy to build the most complete, data‑driven programmatic offering for clients in LatAm and around the world,” said Gurman Hundal, Co‑Founder and Global CEO, MiQ.

MiQ offers programmatic media solutions across all major advertising channels. The company’s AI-powered operating system, Sigma, offers clients the ability to connect the entire ad ecosystem together through 700 trillion global signals to reach audiences wherever they are watching television, browsing the web or buying in-store. As the company accelerates its investment in high-growth markets, this acquisition significantly strengthens its presence in LatAm across 12 markets including Mexico, Brazil, Colombia, Argentina, Chile, Costa Rica, Ecuador, El Salvador, Guatemala, Peru, Puerto Rico, and Uruguay.

Adsmovil specializes in data-agnostic audience segmentation and omnichannel activation. The company boasts one of the most robust mobile, commerce and digital out-of-home solutions, backed by a strong first-party data footprint and deep regional expertise. In May 2026, MiQ will formally launch Sigma in LatAm, further bolstering its technology with integrated data from Adsmovil Personas and the company’s multi-channel retail media platform, Linki.

By combining Adsmovil’s regional scale and offerings with MiQ’s global footprint and award-winning technology, the acquisition brings together over 150 employees across the region. The combined company will provide advertisers with a single engine to execute sophisticated, full-funnel programmatic strategies, featuring more than 400 million unique IDs on what people are watching, browsing and buying.

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Global holding company clients will be able to reach and impact LatAm audiences more effectively, accessing a broader set of inventory and formats while benefiting from unified planning, activation and optimization through MiQ. Existing MiQ clients in the region will see enhanced solutions spanning mobile, retail media, CTV, video, YouTube and DOOH, all delivered via managed service teams on the ground in key markets.

“Acquiring Adsmovil is a major step in our strategy to build the most complete, data-driven programmatic offering for clients in LatAm and around the world,” said Gurman Hundal, Co-Founder and Global CEO, MiQ. “As a company, our ambition has always been to connect advertisers to audiences wherever they are and however they engage with media. This acquisition allows us to include this region’s most talented minds and compelling services with our ambitious roadmap. Their focus on innovation, measurable outcomes and client partnership closely mirrors ours at MiQ.”

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“When we built Adsmovil, our goal was simple: create and deliver best-in-class solutions for clients across Latin America,” said Alberto “Banano” Pardo, Adsmovil Founder and CEO. “With this acquisition, MiQ’s clients gain that edge through expanded access to mobile, retail media, and DOOH, while Adsmovil’s clients benefit through connection to MiQ’s award-winning technology and global scope. It’s a win-win for all of our clients.”

Following the close of the transaction, Adsmovil’s LatAm business will be integrated into MiQ and will be led by Eric Tourtel, CEO of Latin America. Banano will stay on as Chairman of MiQ LatAm and operate as a hands-on advisor to the combined entity. He will also operate Adsmovil’s U.S. business as a separate, standalone company. The U.S. business is not included in this transaction.

“We are energized to join these teams together. With more than 150 people across Latin America, we are now the largest independent programmatic offering in the region, giving us the strength to help our clients excel and meet their business goals in 2026 and beyond,” said Eric Tourtel, LatAm CEO, MiQ.

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One Size Fits None: Why the Future of AI Interfaces Must Be Radically Adaptive

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Katie Krol
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One Size Fits None: Why the Future of AI Interfaces Must Be Radically Adaptive

When ChatGPT was released to the public in late 2022, I was conducting user research on conversational AI, giving me a front-row seat to one of the most rapid technological pivots in recent history. After the initial novelty of using large language models (LLMs) wore off, my colleagues and I started asking a new question: what do people want AI interfaces to become next? To answer it, we went to the users who spend the most time using them.

To help participants imagine what AI interfaces could look like in five years, we built an interface toolkit designed to bridge the present and the future. We analyzed the attributes of today’s interfaces, from standard chatbots to agentic platforms, and combined them with inspiration from science fiction to create a library of interface elements.

We organized these elements into 47 distinct “building blocks” across four areas: Triggers (how tasks start), Outputs (how results are delivered), Customization (personalization settings), and Task Oversight (monitoring progress). We asked experienced AI users to share what they like about current tools, design ideal interfaces for five real-world scenarios, and share their most “blue sky” ideas. Every input was mapped back to the same set of building blocks.

By triangulating those three data streams, we uncovered four themes that point to the next era of AI interface design.

1. The Future is Seamless and Ambient

Right now, most people experience AI in one place: a single app or chat window. In the next five years, users expect it to follow them across devices and contexts. When we asked participants to describe their ideal AI interaction they described an ambient, multimodal presence that moves with them.

83% of participants described a future where their conversation with an AI continues seamlessly across devices. While text still matters, participants said they want their experiences to be centered around voice, mentioning voice commands and spoken responses far more often than text.

Participants also wanted this “invisible partner” to respond to context, not just commands. Many expressed interest in passive triggers like location-based cues and biometric sensors so the AI would understand when and where it’s needed without being asked.

As one participant described: “I’d like it to be integrated and seamless. When I get in my car, [it] just would transition through the car, and then to my smart home, to really have that constant connection.”

2. The Experience Must Be Deeply Personal

AI users in our study largely think of AI less like a software tool and more like a human relationship. When we tell a close friend something, we expect them to remember it. We don’t want to explain that we are vegetarian every time we order dinner, we expect them to know.

Participants prioritized deep customization because they want AI to honor this same social contract. They want to front-load an AI with information and they want it to retain and apply that knowledge proactively.

One user noted they wanted an AI that “just gets me”, while another noted: “In 2030, it [should] actually be able to learn my routines … what I should be eating … know the ins and outs of my work … or even bring up a song. It’ll know my music taste.””

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3. The Dominant Model is Delegation (With Transparency)

One of the biggest shifts we saw was a move away from collaboration and toward delegation. For years, the industry has focused on “human-in-the-loop” systems, where a user and AI constantly pass the baton back and forth. However, our data suggests that  users are tired of micromanaging; they want to stay in control, but not do every step themselves.

Many participants said they were ready to delegate tasks to AI like meal planning and travel booking. To borrow a Star Trek reference, they want to be the Captain on the bridge, saying “Make it so,” rather than the Engineer tweaking the engine.

However, autonomy comes with a condition: transparency. Participants said they want AI to provide “glass box” interfaces that offer them final control. For example, if an AI is booking a flight, they want to see the plan and approve it before anything is confirmed. As one participant put it, “My ideal AI would be one that is competent and can complete tasks on its own, but never without my oversight and direction.”

4. AI Interaction Needs are a Spectrum

To create a true “one-size-fits-all” partner, AI interfaces will need to be radically adaptive. Our data showed that users do not wish to interact with AI in a single way; they shift between mindsets depending on the task.

Our network analysis identified five primary user mindsets:

  • The Delegator: The “human-at-the-lever” who wants fast, autonomous execution (with clear visibility and final control).
  • The Pragmatist: The “human-in-the-loop” who prefers real-time co-creation to build trust.
  • The Confider: A companion-focused user who values constant presence.
  • The Deliberator: A cautious user who wants a sounding board for complex decisions.
  • The Vibe-setter: A user looking for immersion and atmosphere.

The winning interfaces of 2030 will be able to detect these shifts in real-time. The same user might be a Delegator when ordering groceries (“Just get the usuals”) but a Deliberator when planning a vacation (“Where should we go?”). The interface needs to change its tone, pacing, and autonomy to match the moment.

The Road Ahead

AI users are no longer asking, “What can this cool technology do?”, but more practical questions like, “How can this partner help me live my life?”

Building for this future requires a pivot in design thinking. We need to move beyond the chat box and build interfaces that are personal enough to know us, transparent enough to earn trust, adaptive enough to match our changing mindsets, and capable enough to let us step back, as long as we can keep one hand firmly on the control lever.

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The Trade Desk Appoints Drew Vollero to Board of Directors

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Business Wire
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The Trade Desk Appoints Drew Vollero to Board of Directors

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The Trade Desk , the world’s leading independent advertising technology company, announced the appointment of Drew Vollero to its board of directors.

Vollero brings deep financial and operational expertise, with a proven track record of helping high-growth technology companies scale and navigate complex market dynamics. With more than three decades of experience across public and private markets, he brings a strong perspective on long-term value creation and disciplined growth.

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Vollero currently serves as Reddit’s first Chief Financial Officer (CFO), where he has built and scaled its financial infrastructure and guided the company through a successful IPO in March 2024. Prior to Reddit, Vollero was the CFO of Allied Universal, the largest U.S. security and facility services firm. In addition, he served as Snapchat’s first CFO, guiding its IPO and transition to a public company. During his tenure at Snap, Vollero led financial strategy and operational efficiency through periods of significant transformation and expansion.

“Drew’s extensive experience as CFO and his ability to guide organizations through periods of growth make him an exceptional addition to our board,” said Jeff Green, CEO and Co-founder, The Trade Desk. “His financial acumen, strategic mindset, and leadership across some of the most dynamic companies in technology will be invaluable as we continue to scale globally and deliver long-term value for our clients and shareholders.”

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“I’m excited to join The Trade Desk board at such a pivotal time in its growth journey,” said Vollero. “The Trade Desk has built a strong foundation and powerful platform grounded in innovation for its advertising clients. I look forward to partnering with Jeff and the leadership team to help drive momentum and shape the future of the advertising ecosystem.”

Vollero began his career in corporate finance and held various financial, operational, and business development roles at Mattel and Pepsi. He has a B.A. in mathematics and economics from Yale University, graduating magna cum laude, and an M.S. in management from Oxford University.

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BigID Extends Data Access Governance to AI Agents

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PRNewswire
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BigID Extends Data Access Governance to AI Agents

Expansion of BigID’s DAG and DAM capabilities brings identity controls, least-privilege enforcement, and real-time activity monitoring to non-human AI entities

BigID announced the expansion of its Data Access Governance (DAG) capabilities to cover AI agents: the autonomous, non-human entities now operating inside enterprise environments with broad data access and little oversight.

The next wave of insider risk isn’t human: it’s the agents we deployed to help us, operating without visibility or guardrails. Agentic AI is no longer an emerging consideration – agents are browsing internal systems, retrieving sensitive records, writing to databases, and acting on behalf of users today, often with permissions set months ago, never reviewed, and scoped far too broadly. They operate continuously, at machine speed, across systems that cross organizational boundaries. Most enterprise governance frameworks were not built for them.

BigID now is.

“Access governance has always focused on people,” said Nimrod Vax, Chief Product Officer and Co-Founder at BigID. “Agents are now first-class data consumers, and they’re operating at a scale and speed that makes traditional review cycles irrelevant. BigID extends the same data-centric governance model we apply to humans directly to agents.”

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What’s New

Agent Identity Discovery and Mapping. BigID automatically discovers AI agents operating in the environment, cataloging the data stores they access, the permissions they hold, the systems they touch, and the scope of their activity. If an agent is interacting with your data, BigID knows about it.

Access Right-Sizing for Non-Human Identities. Apply least-privilege principles to AI agents the same way you apply them to human users. BigID compares provisioned access against actual access behavior and surfaces remediation paths for over-permissioned agents before a misconfiguration creates an incident.

Real-Time Agent Activity Monitoring. Track what AI agents are doing with data in real time: reads, writes, data movements, cross-system access, with full classification context attached. Security teams see not just that an agent accessed a record, but what sensitivity that record carries and whether the access was in policy.

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The BigID Difference

Identity governance was built for humans, and agents aren’t humans. They don’t log off, don’t forget, and don’t stop when something looks wrong. They operate at a scale and speed that makes traditional review cycles irrelevant. BigID extends its proven data-centric governance model to non-human identities natively: the same discovery engine, the same classification layer, the same risk framework, applied to entities that never stop running.

Other vendors are retrofitting human IAM tools to handle agents. BigID governs agents at the data layer, where the actual exposure lives, understanding not just who accessed what, but what that data is and whether that access should have happened at all.

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Unchained Launches Journey Works AI: The First AI Operating System Purpose-Built for Destination Marketing Organizations

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Business Wire
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TitleGen Launches AI YouTube Title Generator Built Around Channel DNA Analysis

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The platform gives DMO teams back thousands of hours a year by automating the operational grind that keeps them from the work that actually moves the needle.

Unchained, a strategic AI consultancy, announced the launch of Journey Works AI, the first artificial intelligence platform designed specifically for the operational realities of destination marketing organizations and convention & visitors bureaus.

“Working with Unchained has helped our organization navigate the quickly evolving landscape of AI and understand where to start.” – Matt Vinson, Director of Marketing, Visit Dallas

Journey Works AI is not another chatbot. It is not a prompt tool bolted onto a CRM. It is a full AI operating system with over 50 specialized agents that automate the predictable, repeatable functions that consume the majority of a DMO team’s time, from board reporting and grant compliance to campaign attribution, partner equity tracking, and RFP response.

The Problem Every DMO Knows but Nobody Has Solved

DMO teams are running lean. Budgets are flat or shrinking. Stakeholder expectations are growing. And the operational load (board packets, grant reporting, partner communications, data pulls, compliance tracking) eats the hours that should be going toward storytelling, creative strategy, and building real relationships with travelers.

Most AI solutions on the market today offer generic tools that require significant customization, or they solve one narrow problem. Journey Works AI was built from the ground up around how DMOs actually operate, using the language, data sources, workflows, and reporting structures that destination marketers already use.

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What Journey Works AI Actually Does

The platform is organized around the core functions of a DMO and delivers AI agents that handle each one. The most immediately impactful capabilities include:

Connect your intelligence and partners. Journey Works AI connects marketing intelligence partners, CRM, STR, GA4, social platforms, footfall data, airlift metrics, and survey data into a single queryable system. Ask a question in plain language and get an answer that pulls from every source you have. No more logging into six platforms to build one report. We work with your partners to operationalize your insights.

Automated Board and Stakeholder Reporting. The platform assembles board packets, monthly reports, and annual impact summaries by taking your department update emails, pulling live data, generating charts, and writing narrative context. What used to take a week now takes minutes.

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Campaign Attribution That Connects Spend to Impact. Journey Works AI measures marketing performance across channels and ties media spend to website traffic, foot traffic, bookings, and economic impact. No more guessing which campaigns actually moved the needle. It’s like having a data scientist on staff.

Customized Persona Testing. Before you spend a dollar on creative, test messaging and campaign concepts against AI generated audience personas built from your actual visitor data. Validate creative direction before committing spend.

Partner Equity and Visibility Tracking. Every DMO hears it: “Why isn’t my business showing up in your marketing?” Journey Works AI audits all marketing output to measure exactly how frequently each partner appears, identifies gaps, and generates partner specific performance reports.

Convention Sales Acceleration. The platform drafts RFP responses using your destination data and historical win rates, builds convention proposals specific to the requests, researches prospective organizations, and calculates economic impact using DI methodology.

Grant Writing and Compliance. Journey Works AI drafts grant applications using your program data, tracks deliverables against budget, monitors reporting deadlines, and auto generates interim and final reports with the required documentation.

Crisis Communications on Demand. When the unexpected hits, the platform generates crisis response frameworks, press statements, internal talking points, and social media responses organized by scenario type. Ready when you need it, not after three rounds of approvals.

Built to Work with Your Existing Stack

Journey Works integrates with the platforms DMOs already rely on; marketing intelligence partners, CRM, lodging data, analytics, social, advertising, finance, and productivity tools across 11 categories. It does not replace your tech stack. It connects it into a single operational layer.

“Every hour an agent saves on reporting, contract review, scheduling, or data pulling is an hour your team gets back for the work that only humans can do: telling your destination’s story.”

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H2O.ai and CTC Global Singapore Have Partnered Together To Democratize Agentic AI Across APAC

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H2O.ai and CTC Global Singapore Have Partnered Together To Democratize Agentic AI Across APAC

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H2O.ai, the leading open-source AI platform company, and CTC Global Singapore, a trusted technology integrator across Asia Pacific, announced a collaboration to accelerate enterprise AI adoption across the region. The collaboration was formalized at a signing ceremony in Singapore, marking a milestone in delivering trusted, production-grade Agentic AI designed to support users in secure and regulated environments.

This partnership directly addresses the evolving needs of APAC enterprises:

  • Moving beyond proof-of-concepts into production at scale
  • Driving business outcomes—not just model accuracy
  • Standardize on a single, governable AI platform for predictive and generative AI

Together, H2O.ai and CTC Global Singapore are enabling organizations to close the last mile between AI ambition and enterprise value. The collaboration brings together H2O.ai’s AI platform and CTC Global Singapore’s integration and delivery capabilities, empowering business users with intuitive tools, while ensuring full control, governance, and security by design.

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“The last mile of Enterprise AI is 99 miles,” said Sri Ambati, CEO of H2O.ai. “Our partnership with CTC Global Singapore bridges that critical gap of local implementation outreach for our Banking, Telco and public sector customers in Asia bringing Agentic AI to life, combining GenAI and Predictive AI in a secure, explainable, and scalable way. Whether it’s on-premise, private cloud, or air-gapped deployments, we’re delivering AI that enterprises can trust. We want to raise a forest, not just a tree, and co-innovation and partnerships like this helps the entire ecosystem grow.”

Peh Swee Hong, Chief Technology Officer of CTC Global Singapore, noted: “This collaboration is about democratizing AI for real-world impact. By integrating H2O.ai’s platform into our ecosystem, we are helping customers move from experimentation to execution—securely, cost-effectively, and with robust data ownership and deployment flexibility. Our partnership has already achieved significant traction within the financial services industry, but this is just the beginning. Our goal is to bring the transformative power of AI to all sectors, delivering sustainable value and capturing new growth opportunities in the broader market.”

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Yoshihiko Ito, Managing Director of CTC Global Singapore, added: “As the AI landscape continues to evolve, CTC Global Singapore is uniquely positioned to meet the rising demand for enterprise-grade AI at scale. This partnership reinforces our commitment to ‘Challenging Tomorrow’s Changes’ by ensuring our clients have the expertise and resilience to lead in an AI-driven era.”

The partnership will focus on key sectors including public sector, financial services, and manufacturing, where demand for Agentic AI is rapidly growing. With built-in explainability, auditability, and governance, the platform is designed to support the stringent requirements of regulated industries.

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Comcast Advertising Launches Outcomes+, a Next Gen Targeting and Attribution Solution Across Traditional and Streaming TV

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Business Wire
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Keymakr Launches New LLM Suite with Agent Training Data Solutions and Tools to Support the Next Generation of AI Systems

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Includes new AI-powered products leveraged by Comcast’s deterministic data and full-funnel attribution products supported by new and expanded partnerships with Mastercard, Clarivoy, DISQO, Fandango, S&P Global Mobility, and others.

Comcast Advertising delivers Prime Video access for local and SMB advertisers through a new Amazon Ads partnership.

Comcast Advertising, the advertising division of Comcast, announced Comcast Advertising’s Outcomes+, a new solution that gives advertisers unparalleled targeting and attribution across the company’s premium TV and streaming inventory. Powered by Comcast’s unique combination of media, data, and technology, Outcomes+ delivers enhanced outcomes with a portfolio of AI-powered products activated by Comcast’s first-party data and attribution products backed by best-in-class partnerships.

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Additionally, Comcast Advertising announced a new partnership with Amazon Ads, giving its local and small-to-medium sized customers access to Prime Video for the first time. These advertisers can now access Amazon Ads premium streaming audiences, which has an average U.S. monthly ad-supported reach of 200MM, unlocking new opportunities to reach relevant audiences at scale. Comcast Advertising is partnering with Amazon DSP to execute these media buys.

“TV has always been a performance driver but achieving and proving that performance hasn’t always matched the simplicity of digital. Outcomes+ transforms that reality,” said Dawn Lee Williamson, Chief Revenue Officer, Media Solutions, Comcast Advertising. “With AI driven precision and premium quality data, Outcomes+ empowers advertisers to find the right audiences and measure outcomes across the entire funnel—because real impact happens throughout the journey, not only at the last click.”

Outcomes+ by Comcast Advertising is an activation and attribution solution designed to help local to global advertisers target audiences from granular to broad, measure impact, and optimize campaigns. The solution is powered by deterministic data from more than 30 million Comcast households—representing over 100MM authenticated viewers. This scale is further strengthened by partnerships with premium publishers, distributors, and streaming platforms that extend Comcast Advertising’s reach to more than 300MM viewers.

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New AI-Powered Activation Products

Comcast Advertising is introducing powerful new AI-driven products that combine Comcast’s deterministic data, privacy‑safe purchase insights from leading partners, and advanced machine learning to transform the way advertisers plan and activate campaigns. These products will surface high‑value audiences across every stage of the marketing funnel, giving brands a clearer understanding of the consumers most critical to their success. They include:

  • An AI-powered proposal assistant that enables the creation of more customized campaign schedules, helping advertisers optimize reach, efficiency, and precision from the start.
  • LENS, a new AI audience discovery engine that allows clients to identify and target households with no or light exposure to national TV campaigns, whether from their own brand or competitive brands. This capability ensures incremental reach and more strategic allocation of media dollars.
  • Blockgraph On Demand, which allows advertisers to match their first-party data to Comcast’s data. This self-service platform enables brands to design and activate even more bespoke segments, further strengthening their audience strategies while maintaining stringent privacy standards.

As a result, Comcast Advertising helps marketers better measure true incremental reach, demonstrate media performance, and improve campaign impact. As an example, for a recent MINI USA campaign, the new AI activation products enabled insights derived from national ad exposure to create a more optimized campaign plan that sequenced addressable messaging between national, regional, and local automotive tiers. The campaign drove significant lifts in awareness and consideration, including a 300% increase in brand favorability and a 200% increase in brand recommendation intent. Additionally, participating dealers saw a conversion lift of 35% for new and used vehicles.

These new AI-powered products pair with Comcast Advertising’s ad tech arm, FreeWheel, enabling seamless campaign execution across the full breadth of ad solutions from addressable, with precise, household-level targeting across all screens, to linear programmatic, where advertisers can for the first time buy and optimize premium traditional TV inventory alongside their digital media spend, with full biddable capabilities enabled through programmatic buying platforms.

New Attribution Products

  • A critical component of Outcomes+ is the ability to deliver outcomes-based measurement from top-of-the-funnel brand metrics to mid- and lower-funnel search and visitation metrics through new and expanded partnerships with Mastercard (aggregated and anonymized spend insights), Sojern, previously known as Adara (travel bookings), Clarivoy (auto visits and conversions), DISQO (brand, search, visitation, and outcomes measurement), Dynata (brand lift studies), Fandango (movie ticket sales), and Polk from S&P Global Mobility (auto transactions), among others.
  • These partnerships match Comcast’s deterministic TV viewing data with insights from data partners, enabling advertisers to optimize campaigns and prove ROAS across all screens.
    • For instance, a Q4 2025 analysis for a major auto brand matched verified Polk Signals transaction data with privacy‑safe Comcast ad‑exposure data and found that dealers participating in a coordinated national, regional, and local advertising program saw a 25% increase in vehicle purchase rates. The results showed how fully aligned messaging across all levels drives higher conversion.
  • Comcast Advertising clients can now easily access campaign insights in a new dashboard, myResults. Media investment across TV, streaming, addressable, and sports, paired with attribution demonstrating the impact are available in one view—vastly simplifying actionable insights across today’s fragmented ecosystem.

Expanded Access

The activation and attribution solutions of Outcomes+ drive improved campaign impact because of Comcast Advertising’s direct, scaled access to unified multiscreen audiences across the most powerful publishers in media. This now includes for the first time Prime Video for the company’s local and SMB customers.

  • Through a new partnership with Amazon Ads, Comcast Advertising’s local and SMB business advertisers will now have access to Prime Video, delivering programmatic access to this premium streaming inventory.
    • The use of Amazon DSP enables Comcast Advertising to execute customized streaming messages by geographic location, showcasing regional offers, location-specific pricing, or local business information while maintaining the scale and simplicity of a single national buy onto Prime Video inventory.
  • Comcast Advertising’s robust premium video inventory encompasses leading TV publishers such as A+E Global Media (A&E HISTORY and Lifetime), NBCUniversal, Paramount, and Warner Bros. Discovery, to FAST apps like Xumo Play and FAST channels from major content studios including Lionsgate, to top streaming platforms HBO Max, Peacock, Roku, and now Prime Video.
    • This includes the most high-value, culturally relevant content, from the MLB, NFL, and World Cup to Super Bowl LXI inventory.

“With the launch of Outcomes+, we’re advancing our work to level the playing field,” said James Rooke, President of Comcast Advertising. “For too long, outcomes driven by premium TV have been credited to digital platforms because of insufficient and outdated attribution approaches. With our access to premium content from the most important players in media—which now includes Amazon, more sophisticated AI-driven activation products powered by Comcast’s data, and our investment in advanced outcome measurement, we’re on a mission to redefine performance TV and deliver the clarity and accountability marketers deserve.”

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Picsart and Recraft Announce Exclusive Partnership, Granting First-Access for Exploration Mode to 130 Million+ Creators

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Picsart and Recraft Announce Exclusive Partnership, Granting First-Access for Exploration Mode to 130 Million+ Creators

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Picsart, the AI-powered design platform empowering over 130 million creators worldwide, announced the integration of Recraft V4 Exploration Mode. This new approach to generative image creation prioritizes visual discovery over the technical hurdles of prompt engineering, aligning AI technology with the natural, iterative flow of creative work.

Picsart’s community has first access to Recraft’s Exploration Mode – marking Recraft as the design platform’s first exclusive AI model partner. The partnership underscores Picsart’s strategy of moving beyond model aggregation to offer its users privileged, early access to emerging technology ahead of the wider market.

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While traditional AI tools require users to master complex engineering to get usable results, Recraft V4 is built for usability and design integrity. By entering a simple direction – such as “minimal logo” or “retro poster” – creators are immediately presented with eight distinct visual directions.

Designed for Designers, Not Just Generators

Recraft V4 distinguishes itself by prioritizing design fundamentals over simple image generation. Key features include:

  • Superior Typography: Unlike standard AI models where text often warps, Recraft V4 maintains clear, readable, and professional-grade lettering.
  • True Vector Outputs: It remains the only model offering native vector generation (SVG), allowing logos and icons to be scaled and edited without losing quality.
  • Design-First Logic: Outputs feature balanced layouts and harmonious color palettes, reducing the need for post-generation “fixing.”
  • Flexible Workflows: Support for professional export formats including SVG, PNG, JPG, PDF, TIFF, and Lottie.

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Exploration Mode: Discovery Over Description

Exploration Mode embraces the inherent messiness of the creative process. Rather than requiring a perfect prompt upfront, it generates eight distinct visual directions—ranging from the structured to the experimental. Simply select the result that resonates and use it instantly, or refine it further to perfect your vision.

Recraft V4 is now available within Picsart Flow for full-scale design projects and in the AI Playground, where users can experiment with over 100+ models in a fast-paced, side-by-side comparison environment.

A generative AI pioneer since 2016, this news follows last week’s announcement that Picsart has opened the waitlist for the first Creative AI Agent Marketplace.

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WRITER Sets a New Standard for Enterprise AI with the First Agent Skills and Playbooks for Business Teams

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LLCNameGenerator.ai Launches Free AI-Powered LLC Name Generator With Live Domain Checks for Businesses

WRITER - Enterprise AI platform

New features empower Fortune 500 marketing, sales, and business teams to automate complex end-to-end knowledge work — no coding or technical expertise required

WRITER, the enterprise AI agent platform trusted by the world’s leading Fortune 500 brands, is introducing a new set of capabilities that gives teams the ability to fully leverage the power of agents as easily as they’d use any consumer app, while maintaining full enterprise security and governance controls. the company released an agent Skills creator and enhanced Playbook builder that allow non-technical employees to describe workflows, specialized expertise, and desired outcomes in natural language and automatically generate production-ready agent capabilities that can be shared across teams.

Today’s release also includes enhancements to shared Voice profiles that ensure teams operate with the same brand consistency, an expanded range of third-party Connectors, and a ready-to-use library of over 200 enterprise-specific Skills. All capabilities in the WRITER platform include enterprise-grade security management, granular role-based access control, audit trails for compliance, and data privacy protections.

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The new tools are designed to give marketing, sales, and other business teams an intuitive way to rapidly rebuild operations with agents at the center, with zero technical knowledge or coding ability required. Their ease of use marks a turning point in enterprise AI adoption.

“Until now, gains in AI productivity have been disproportionately centered on developers and early AI adopters, with IT teams becoming gatekeepers to the rest of the organization,” said Doris Jwo, Vice President of Product at WRITER. “We’re changing that dynamic. WRITER is giving business teams an intuitive framework to design and deploy agents without investing time they don’t have building deep AI and technical expertise. We’ve made agent-building as simple as using an iPhone—radically accessible while maintaining the supervision and control that IT demands.”

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Building Blocks for AI-Native Operations

At the core of WRITER’s platform is WRITER Agent, an autonomous agent that can execute and scale complex work in high-stakes enterprise environments. By connecting WRITER Agent directly to third-party systems including CRMs, content management systems (CMS), and data warehouses, marketing and sales teams are automating routine workflows, eliminating bottlenecks, and freeing resources for strategic work.

Playbooks streamline the design of multi-step workflows that can be shared across teams and triggered based on events or set routines. Users can now describe an outcome or workflow, or paste an existing process document, and with one click, WRITER converts it into executable instructions that WRITER can reliably repeat. Playbooks automatically pull in the Skills, third-party Connectors (Snowflake, HubSpot, Asana, Sharepoint, Slack, and dozens more), proprietary knowledge, and brand Voice needed to accomplish a complex task.

Skills give WRITER Agent access to specialized expertise, packaged in a reusable building block. With the new Skills creator, business teams can easily codify and share the institutional knowledge and best practices hidden inside their organizations. Users simply describe what they want, and WRITER Agent builds and deploys the ready-to-use Skill package with documentation, scripts, and icons. Skills can be shared with specific individuals, teams, or company-wide.

WRITER customers have deployed over 5,000 playbooks to automate common workflows, such as generating optimized assets in their CMS from Jira tickets; delivering performance dashboards pulled from Snowflake data and sent directly to executives via Teams; automatically evaluating assets against regulations to speed legal and compliance reviews; and crafting personalized, on-brand pitch materials pulling from CRM account data and market insights.

With WRITER’s purpose-built approach to enterprise AI, customers achieve an average 333% ROI with a six-month payback period, according to a Forrester Total Economic Impact Report commissioned by WRITER.

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ZeroToOne.AI Acquires GroundTruth to Deploy at Scale an AI Driven Predictive Intelligence Platform for Enterprise Decision Systems

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ZeroToOne.AI Acquires GroundTruth to Deploy at Scale an AI Driven Predictive Intelligence Platform for Enterprise Decision Systems

Combines Premier Behavioral AI Platform with one of the World’s Largest Real-World Platforms to Drive Decisions for the Physical Economy

Acquisition Brings ZeroToOne’s Technology to Scale across GroundTruth’s Extensive Customer Base, Driving Greater Marketing Reach, Efficiency and ROI

ZeroToOne.AI, a leader in predictive behavioral intelligence, announced that it has acquired GroundTruth, a scaled real-world platform that captures and processes billions of daily interactions across the physical world.

Together, the companies will deploy the first large-scale predictive intelligence platform capable of anticipating real-world consumer behavior with greater precision. This marks a profound shift from reactive legacy systems, with the combined platform capable of delivering foresight into when, where, and how consumers are most likely to act.

The combination integrates ZeroToOne’s proprietary, patent-pending Large Behavioral Model – developed by researchers recruited from Carnegie Mellon University, one of the top AI programs in the U.S. – with GroundTruth’s large-scale signal network and extensive customer base. GroundTruth currently serves more than 2,000 enterprise customers globally, providing a strong distribution platform for ZeroToOne’s predictive AI infrastructure.

“While most enterprise software explains the past, ZeroToOne was founded on the belief that the next generation of enterprise decision systems will predict the future,” said Naseer Hashim, Co-Founder and CEO of ZeroToOne. “By combining our AI-powered behavioral prediction engine with GroundTruth’s rich network of real-world signals, we’re creating a new layer of intelligence that helps organizations anticipate demand, allocate resources, and act ahead of competitors.”

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ZeroToOne’s AI-powered prediction engine draws on a vast stream of privacy-safe behavioral signals across both digital and real-world environments, generating billions of predictive insights to anticipate consumers’ next move.

“With approximately 85 percent prediction accuracy, the Company’s technology serves as a predictive intelligence platform wherever behavior drives outcomes,” said Dr. Beibei Li, Professor of IT and Management at Carnegie Mellon University’s Heinz College and Co-Founder and Chief Technology Officer of ZeroToOne. “By combining GroundTruth’s signal technology with our predictive AI infrastructure, we can help enterprises forecast consumer intent with extraordinary precision and act before outcomes unfold.”

The Company also announced that John Costello, a widely respected marketing industry leader and former President of Global Marketing and Innovation at Dunkin’ Brands, who was closely involved in the acquisition, will join ZeroToOne’s Board of Directors as Vice Chair. Costello brings decades of experience building globally recognized brands and will help guide the Company’s continued expansion.

“We are thrilled to be a part of the ZeroToOne family,” said Rosie O’Meara, Chief Executive Officer of GroundTruth. “We have helped major global brands connect digital engagement with real-world action to drive measurable business outcomes. As one company, we can move beyond measuring behavior to predicting it, enabling a new generation of AI driven decision making.”

“By joining forces, we are combining ZeroToOne’s powerful technology with GroundTruth’s well-established customer relationships,” said Mike Perlis, Former GroundTruth Chairman. “We are looking forward to combining our great teams into an even stronger company.”

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Scaling Predictive AI Through an Established Omnichannel Consumer Intelligence Platform
Deployments of ZeroToOne’s predictive intelligence across a subset of GroundTruth’s customers, including some of the world’s most recognizable brands, are already delivering measurable results. Performance improvements include a 70 percent reduction in media costs, and a robust 45 percent increase in ROI. All of this was achieved with over 85% prediction accuracy and decision efficiency, significantly increasing physical store visit conversions.

GroundTruth leadership will join ZeroToOne, strengthening the Company’s executive team and ensuring continuity for customers, employees and partners.

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CData Sync Adds Pipeline Orchestration with Real-Time CDC and Open Table Formats

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CData Sync Adds Pipeline Orchestration with Real-Time CDC and Open Table Formats

A single platform to orchestrate pipelines and keep analytical and AI workloads running on fresh data across hybrid and cloud environments

CData Software, the data layer for AI, announced major enhancements to CData Sync designed to meet the data pipeline demands of modern enterprises. The updates deliver coordinated pipeline orchestration, expanded change data capture (CDC) for mission-critical systems, and native support for open table formats, empowering data teams to operate continuously across legacy and modern architectures.

As organizations race to operationalize AI, they face mounting pressure to keep data fresh, coordinate dependencies across systems, and maintain governance at scale. CData Sync’s latest capabilities directly tackle these challenges by unifying real-time replication, workflow orchestration, and open standards within a single platform.

“The era of batch-and-hope data pipelines is over,” said Manish Patel, GM of Data Integration at CData Software. “Enterprises need data flowing continuously from core systems to AI platforms, and they need to coordinate those flows without duct-taping together multiple tools. CData Sync gives teams the control and flexibility to operate data infrastructure the way modern businesses actually work.”

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“Organizations everywhere are focused on ensuring data moves seamlessly and reliably between foundational systems and advanced analytics environments,” said Andrew Chabot, Senior Data Engineering Manager at Finthrive. “The direction CData Sync is taking with pipeline orchestration and expanded CDC support reflects where data platforms need to go next. It has the potential to simplify how complex data workflows are coordinated and to consistently deliver trusted, timely data to the teams and models that depend on it.”

Pipeline-Based Workflow Orchestration
CData Sync now includes Pipelines, enabling teams to orchestrate multi-step workflows directly within Sync. Data engineers can sequence replication jobs, transformations, and events without external orchestration tools, reducing complexity while maintaining full visibility and control over dependencies.

Programmable Control via API 2.0
The redesigned API 2.0 provides a predictable, automation-friendly interface for managing Sync at scale. Organizations can programmatically configure pipelines, trigger executions, and monitor operations across distributed deployments, making it easier to integrate Sync into internal platforms or enable orchestration through external systems, including AI agents.

Enterprise-Grade CDC for IBM DB2 and SAP HANA
CData Sync expanded CDC support to include IBM DB2 (LUW and iSeries/AS400) and SAP HANA, enabling near-real-time replication from these widely deployed enterprise platforms. Organizations can now stream incremental changes from core systems of record directly into cloud analytics and AI platforms without impacting production workloads.

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Open Table Formats for AI and Analytics
With native support for Delta Lake (including Microsoft Fabric via Open Mirroring) and Apache Iceberg, CData Sync allows teams to write data into open, ACID-compliant table formats. This eliminates vendor lock-in and ensures data remains accessible across analytics engines and AI platforms without proprietary dependencies.

Centralized Governance with Workspaces
New Workspaces provide a unified control plane for managing connections, jobs, and transformations across teams and environments. As pipeline counts grow, Workspaces ensure organizations can scale governance, enforce policies, and maintain visibility without losing operational control.

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Enterprise AI Finds its Voice: ElevenLabs and IBM Bring Premium Voice Capabilities to Agentic AI

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Enterprise AI Finds its Voice: ElevenLabs and IBM Bring Premium Voice Capabilities to Agentic AI

ElevenLabs integration with IBM watsonx Orchestrate will help clients to deliver natural, multilingual conversational experiences at scale

ElevenLabs and IBM announced they are collaborating to bring ElevenLabs Text to Speech (TTS) and Speech to Text (STT) to IBM watsonx Orchestrate, an agentic AI orchestration platform, providing clients with tools to deliver richer, more natural voice interactions designed to improve agentic AI-driven experiences while also addressing the security and scalability needs of enterprises.

Voice has become a critical medium for customer and employee-facing agentic AI workflows, but long wait times, rigid call flows and robotic-sounding voices can diminish the user experience. By integrating ElevenLabs’ premium TTS technology, clients can build security and compliance-focused voice-enabled agents that communicate clearly and naturally, incorporating the nuance, emotion, and rhythm of human speech across 70 languages.

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“AI agents are becoming central to everyday work, and voice is where AI either earns trust or loses it,” said Mati Staniszewski, Co-founder at ElevenLabs. “Together with IBM, we’re helping organizations replace robotic interactions with AI agents that people actually want to talk to, built with the security and compliance controls that enterprises require.”

This integration expands agentic capabilities from text-based to voice-first interactions, offering organizations premium voice options that help them deliver more effective and human-centered AI experiences. Government agencies and services, for example, must support several languages to help their constituents with information about healthcare, human services, education, and civic activities. With the integration of ElevenLabs, AI phone agents can converse in 70 languages with multiple regional accents and voices. Additionally, banks, insurance companies, healthcare providers, and utilities can provide support to more communities across key cases including customer support, sales, employee experience and internal operations.

IBM watsonx Orchestrate is a unified platform that enables clients to build, deploy, manage and govern AI agents to help them automate workflows across their business. It connects to existing systems, models or automation tools allowing agent collaboration and providing a scalable foundation for trustworthy explainable enterprise AI. With this integration, clients building agents with IBM watsonx Orchestrate can access ElevenLabs’ premium speech quality and extensive library of 10,000+ voices. Clients may also access enterprise-grade protections – including PCI compliance for secured payment processing, Zero Retention Mode designed to support HIPAA-compliant data handling and data residency. The combination helps to address the consistency, security and reliability needed for enterprise-scale deployments and supports high-volume and highly concurrent interactions across global user bases.

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“We’re bringing a voice to AI Agents in the enterprise. As clients increasingly deploy agentic AI that interacts with their customers and employees, they want these experiences to feel intuitive, responsive and accessible,” said Nick Holda, Vice President, AI Technology Partnerships at IBM. “IBM’s open ecosystem approach offers clients the flexibility to choose the models and tools that fit their business, and our integration of ElevenLabs into watsonx Orchestrate is a powerful example of that – enabling enterprises to deploy AI agents that sound natural, scale globally, and address security, reliability and governance.”

ElevenLabs and IBM intend to continue their collaboration, helping enterprises move beyond text-only agents and towards voice-first, human centered AI experiences designed for the enterprise with the ability to scale.

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Independent Agencies Gain Advanced Agentic Media Buying Through New PubMatic and Untapped Growth Collective Partnership

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Independent Agencies Gain Advanced Agentic Media Buying Through New PubMatic and Untapped Growth Collective Partnership

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Small and Independent agencies can now activate custom buyer agents within AgenticOS – providing full access to data curation, premium inventory at scale, and GPU-supported infrastructure delivering more efficient and effective performance campaigns

PubMatic , the leading AI-powered ad tech company delivering digital advertising performance, and Untapped Growth, a multibillion-dollar media buying collective built for independent agencies and mid-market advertisers, announced a partnership that gives independent agencies direct integration into AgenticOS. Through this collaboration, member agencies in the Untapped Growth collective can now deploy proprietary buyer agents that operate directly inside PubMatic’s AgenticOS, creating and launching campaigns with full access to PubMatic’s top data partners and curation capabilities, billions of impressions across premium CTV, including 28 of the top 30 streamers, mobile, and online video, and GPU infrastructure that ensures faster and more reliable performance.

Early AgenticOS campaigns are reducing supply chain costs by 40–50%, delivering 40% more impressions at 30% lower eCPMs, with campaign setup 87% faster and troubleshooting 70% faster than standard workflows — freeing agency teams to focus on strategy, client relationships, and growth.

“Through this partnership with PubMatic, member agencies now have the ability to activate high-performing agent-driven campaigns at scale, delivering premium inventory with greater efficiency, and without the added operational tax,” said Brendan Clifford, Co-Founder and Managing Partner at Untapped Growth.

What Agencies Can Now Do

Using a simple LLM-powered interface, traders submit campaign briefs in natural language — audience parameters, budget, timing, and brand safety requirements. AgenticOS returns recommended audiences and curated inventory packages from top data partners and premium CTV, mobile, and online video. The trader approves, provides creative, and activates. The agent then surfaces real-time delivery data and optimization signals within the agency’s own environment, eliminating dashboard switching and manual troubleshooting.

Because campaigns run through PubMatic’s Activate — a direct bidder built natively on the sell side — there are no additional intermediary integrations required. Agencies use an MCP or AdCP-enabled connection once and reach billions of daily premium ad impressions across CTV, mobile, and online video.

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“Most recent agentic implementations don’t solve the fundamental supply chain problem. They simply replace manual hops with automated ones,” said Kyle Dozeman, Chief Revenue Officer, PubMatic. “PubMatic’s approach is fundamentally different. This is a single connection through AgenticOS, where a buyer agent has access to PubMatic’s full scope of data, premium inventory, and some of the most sophisticated and reliable GPU technology in the world. Now, nimbler agencies are delivering real strategic value to their clients and gaining immediate access to billions of premium daily ad impressions with no other tech vendor touching the workflow.”

“This partnership helps member agencies gain valuable speed to market which is a key differentiator for Indies. The ability to leverage PubMatic’s AgenticOS provides the speed, quality, and transparency required to create competitive advantage for their clients,” adds Clifford.

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What Makes PubMatic’s Agentic Infrastructure Different

AgenticOS is built on PubMatic’s core infrastructure — the same platform that has connected buyers and publishers across the open internet for 20 years. Four capabilities come with that foundation:

Supply at open internet scale. Direct integrations with thousands of publishers across more than 100,000 sites and apps — including 28 of the top 30 CTV streamers — accessible in a single connection, with no intermediary required.

250+ integrated data partners. Audience curation happens inside the buying workflow, not as a separate step, with direct access to more than 250 data partners including leading commerce media networks.

Infrastructure purpose-built for advertising. PubMatic’s owned-and-operated platform runs on NVIDIA GPUs, custom-built and configured specifically for the speed and complexity of advertising workloads in a growing ecosystem.

Open protocol access, zero technical lift. AgenticOS is built on MCP and AdCP protocols, ensuring full interoperability across the advertising ecosystem on the backend. Agencies simply connect through their custom interface and gain immediate access to more than 20 agents — with no development work, no new integrations, and no barriers to activation.

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UiPath Announces New Agentic Solution to Accelerate Procurement Cycles

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UiPath Announces New Agentic Solution to Accelerate Procurement Cycles

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New UiPath Solution for Purchase-to-Pay reduces operational costs, automates exception handling, improves efficiency and supplier relationships across procurement and accounts payable workflows

UiPath , a global leader in agentic automation, announced the UiPath Solution for Purchase-to-Pay (P2P), a purpose-built agentic AI solution designed to help finance teams embed agents in their processes, reducing processing costs and improving efficiency across procurement and accounts payable operations. The solution will be in controlled general availability in the coming months.

Finance leaders are under constant pressure to improve efficiency while maintaining strong financial controls.

Purchase-to-pay is still largely a process of handoffs between multiple systems of record (ERP, CRM, etc.) lacking clean integration, incomplete data, and approval of workflows that slow down even routine purchases. The cost of this disjointed workflow shows up in discount capture leakage, supplier friction, compliance gaps, and finance teams spending more time chasing exceptions than driving strategy.

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The UiPath Solution for Purchase-to-Pay introduces an agentic execution layer above existing systems of record. It combines AI agents, automation workflows, and end-to-end orchestration to reduce manual effort and processing costs. This results in shortened invoice cycle times, improved visibility across procurement and accounts payable operations, and accelerated invoice and payment processing.

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Utilizing UiPath Intelligent Xtraction and Processing (IXP) and governed exception handling, the solution automates complex steps across the P2P lifecycle. On the buying side, AI agents route approvals to the appropriate stakeholders and proactively reach out—via Teams or Slack—without leaving their workflow. On the invoice side, agents ingest invoices from email, PDF, portals, and EDI, match them to POs, classify mismatches, and guide exception resolution, so only the items that truly need a human decision get escalated. Orchestrated workflows, through UiPath Maestro, coordinate tasks across procurement, finance, and ERP systems, ensuring information flows seamlessly between teams and applications. By automating both guided buying upstream and invoice processing downstream, organizations can reduce cost and time to process invoices, raise touchless rates, and speed exception resolution—all while keeping the ERP authoritative and controls intact.

“Finance leaders are under constant pressure to improve efficiency while maintaining strong financial controls,” said Hitesh Ramani, Chief Accounting Officer and Deputy CFO at UiPath. “Our UiPath Solution for Purchase-to-pay will help organizations close gaps in procurement and accounts payable workflows. By reducing manual effort and intelligently managing exceptions, finance teams will be able to process transactions faster and focus more of their time on strategic, value-driven work.”

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VideoAmp and O-N-X Integration to Bring Data-Driven Buying to Local Broadcast TV

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VideoAmp and O-N-X Integration to Bring Data-Driven Buying to Local Broadcast TV

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Integration supports guaranteed delivery across all 210 U.S. broadcast markets

VideoAmp, the media performance platform, announced an integration with O-N-X, an automated transaction infrastructure platform purpose-built for local broadcast television. Through the agreement, the O-N-X platform will incorporate VideoAmp’s nationwide audience and measurement dataset to power predictive delivery intelligence, helping broadcasters and agencies execute more stable guaranteed impression transactions across all 210 U.S. broadcast markets.

Historically, local television advertising has been bought and sold through largely manual processes, often relying on spreadsheets, phone calls and fragmented market data. O-N-X was built to modernize this workflow by introducing automated transaction infrastructure designed specifically for broadcast. The O-N-X Platform is currently licensed by multiple broadcast groups for Los Angeles, Chicago and Boston with broadening customer roll-out across the Top 20 markets beginning in April. By integrating VideoAmp’s national measurement dataset, the platform expands the analytical signals available to broadcasters and buyers, enabling stronger forward forecasting, improved reconciliation and greater confidence in guaranteed transactions.

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“Local broadcast remains one of the most important, yet least modernized, parts of the TV advertising ecosystem,” said Bryan Goski, chief revenue officer at VideoAmp. “By integrating VideoAmp’s commingled set-top-box and smart TV dataset into O-N-X, we are helping bring greater transparency, automation, and predictive intelligence to the local marketplace, enabling broadcasters and buyers to transact with greater confidence.”

In many markets, broadcast delivery still relies on forecasting models with limited insight into future audience delivery. By integrating VideoAmp’s industry-leading measurement dataset into the O-N-X platform, broadcasters gain deeper analytical signals that help stabilize delivery expectations and support more reliable guaranteed transactions.

“Broadcast delivery has long relied on disciplined forecasting with limited confidence in forward visibility,” said Greg Morey, Founder of O-N-X. “Integrating VideoAmp’s nationwide measurement dataset materially expands that visibility and reduces structural instability in impression delivery. This expanded analytical depth empowers O-N-X to confidently support guaranteed transactions at scale.”

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Through the platform, agencies and broadcasters can evaluate local broadcast inventory using VideoAmp-powered insights, including audience reach and delivery projections that inform planning, pricing, and transaction decisions.

The integration expands how broadcasters and agencies can evaluate and transact on local broadcast inventory, introducing more data-driven forecasting and delivery intelligence into an industry that has historically relied on manual workflows and fragmented market signals.

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Mediaocean Appoints Guy Kuperman Chief Strategy Officer

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Mediaocean Appoints Guy Kuperman Chief Strategy Officer

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Kuperman to Lead Mediaocean’s Global Strategy for Driving Growth in an AI-First Advertising Ecosystem

Mediaocean, the foundational software and AI partner for omnichannel advertising, announced that Guy Kuperman has been appointed Chief Strategy Officer. In this role, Kuperman will lead corporate strategy, business intelligence, and strategic partnerships across Mediaocean’s portfolio, reporting directly to CEO Bill Wise. Kuperman previously served as Chief Strategy Officer of Innovid.

Kuperman will lead corporate strategy, business intelligence, and strategic partnerships across Mediaocean’s portfolio.

The appointment comes as agentic AI reshapes the advertising ecosystem and intensifies pressure on marketers to simplify increasingly fragmented technology stacks and improve media performance. Demand is rising for enterprise-grade infrastructure that balances AI innovation with governance, interoperability, and control. Mediaocean is doubling down on its role as an independent hub with solutions spanning the entire workflow – planning, buying, finance, creative, delivery, measurement, optimization, and verification.

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Kuperman will focus on key growth initiatives, deepening strategic alliances that expand Mediaocean’s footprint and unlock greater performance from every media dollar. Mediaocean’s best-in-class platforms – including Innovid, Prisma, and Protected – provide the connective foundation for brands, agencies, publishers, walled gardens, ad tech, and data providers to deploy AI within a unified system. Kuperman’s mandate includes scaling partnerships while ensuring Mediaocean remains neutral, interoperable, and aligned with client outcomes. By steering corporate strategy, Kuperman will ensure that Mediaocean remains the primary engine for brands, agencies, and platforms navigating the complexities of modern media.

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“Our industry doesn’t need more point solutions; it needs cohesion,” said Bill Wise, CEO, Mediaocean. “We’ve spent the last decade assembling an independent, interoperable platform that reduces friction and helps advertising operate more efficiently. Guy understands and drives both our strategic architecture and the ecosystem. Expanding his role ensures that our strategy, partnerships, and corporate development efforts stay tightly aligned and executed as we enter our next phase of growth centered around AI.”

In addition to overseeing strategic partnerships, including integrations with major platforms, streaming publishers, walled gardens, and emerging AI innovators, Kuperman will guide continued integration and alignment across Mediaocean’s business units. Following the merger of Innovid and Flashtalking and the continued integration of Mediaocean’s expanded portfolio with Prisma and Protected, his focus will be on ensuring that customers experience the full power of the company’s combined data, workflow, and AI capabilities.

“The market is evolving at a pace we’ve never seen before, and Mediaocean is uniquely positioned to steer this change,” said Kuperman. “Together with phenomenal partners and clients, we are architecting the advertising market’s path forward. My focus will be on ensuring our strategy becomes a tangible operational engine that delivers unparalleled value to our global partners as they navigate a complex, AI-first future, and I am thrilled to take this expanded role.”

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Creator TV® and Convergence Announce Partnership to Bring Creator-Led Programming to Television

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Creator TV® and Convergence Announce Partnership to Bring Creator-Led Programming to Television

Sabio Holdings announced that its owned-and-operated network, Creator TV® has entered a partnership with Convergence, a Los Angeles-based creator management, media development, and venture studio based in LA, to bring new and innovative creator-led show concepts to television.

“We’re excited to partner with Convergence on bringing dynamic creator-led storytelling to the forefront of entertainment,” said Charlie Ibarra, Co-Founder and Head of Content, Creator TV. “Convergence shares our conviction that creator-driven stories aren’t a niche, but are driving the future of how audiences want to connect.”

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Creator Television is the first creator-led streaming network and content studio dedicated to bringing the authenticity and energy of social media storytelling to TV. In this partnership, Convergence will produce creator-led storytelling for Creator TV across genres, including sports and lifestyle.

“The ground is shifting. Creators now hold the audience, the attention, and the cultural momentum,” said Charles Ifegwu, Founder and CEO of Convergence. “Our partnership with Creator TV is about building for that reality and creating a slate of stories that extend far beyond the platforms where creators first found their voice, creating the future of entertainment, together.”

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Produced series will stream on Creator TV, on demand and through FAST (free ad-supported streaming television). Creator TV is available on TCLtv+, Xumo Play, Amazon Fire TV Channels, Sling Freestream, Plex, and LiveTVx.

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FiscalNote Launches PolicyNote MCP in the OpenAI App Store, Significantly Expanding Access to Its Policy Intelligence

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VisiGEO Launches: The Tool to Make Your Brand Visible to AI

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Hundreds of millions of developers, analysts, and policy professionals can now access structured legislative and regulatory intelligence from within ChatGPT-powered workflows and custom GPTs

FiscalNote Holdings, Inc. , a global leader in AI-driven policy and regulatory intelligence, announced that the PolicyNote MCP has been approved and listed in the OpenAI App Store. The listing enables developers, policy analysts, and enterprise teams to access structured policy and regulatory data from around the world directly within ChatGPT, which as of January was reported by OpenAI to have more than 700 million weekly active users. Now, with the addition of the PolicyNote MCP, these users can seamlessly connect to the MCP server natively in ChatGPT, allowing their conversations and GPT-powered workflows to query and interact with real-time policy intelligence without additional integration. OpenAI users also can leverage the PolicyNote MCP in their custom GPTs to create standalone chatbots for specific policy tasks using the PolicyNote MCP tools.

As AI agents become primary interfaces for decision-making, authoritative domain intelligence is emerging as a foundational infrastructure layer. FiscalNote is positioning itself to power that layer in policy and regulatory environments. By embedding PolicyNote intelligence inside ChatGPT workflows, FiscalNote can now reach millions of potential users who may never purchase a standalone enterprise platform but are willing to pay for trusted policy intelligence embedded directly into their AI-driven workflows. This expands FiscalNote’s addressable market, supports product-led global customer acquisition, and enables highly scalable consumption-based revenue growth with minimal incremental sales or infrastructure investment. This listing is expected to accelerate FiscalNote’s expansion from a destination software product to embedded intelligence infrastructure inside the fastest-growing enterprise workflow layer: AI agents.

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The app listing brings policy intelligence directly into ChatGPT, allowing users to query, analyze, and monitor public policy activity across jurisdictions through natural language, with a simple one-click install. Queries return structured, verified information about policy developments, government sources, and regulatory changes, making it straightforward to integrate authoritative policy intelligence into internal tools and research workflows.

By making PolicyNote intelligence available natively within ChatGPT workflows, FiscalNote expects to increase adoption across new geographies, use cases, and buyer personas, with the potential to unlock significant pent-up global demand from developers, distributed teams, and organizations that may not adopt a standalone platform but still desire trusted policy intelligence through other environments. This expands FiscalNote’s reach well beyond traditional sales coverage and enables scalable product-led growth across new geographies and customer segments. Because this model removes traditional seat constraints and leverages infrastructure already built, FiscalNote expects API-driven adoption to scale efficiently as AI-native workflows proliferate globally.

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In this environment, the PolicyNote MCP remains a FiscalNote commercial product. Consequently, FiscalNote sets and controls all pricing and access terms, and users will transact directly with FiscalNote in order to access the data. FiscalNote’s proprietary data can only be accessed within authorized user workflows and is not made available for model training or other platform purposes. Thus, the OpenAI App Store serves as a global discovery layer that enables FiscalNote to distribute its intelligence infrastructure to an audience numbering in the hundreds of millions who are already building AI-driven workflows.

“As AI agents become an increasingly important interface for how organizations operate and make decisions, the opportunity is expanding for trusted intelligence to be embedded directly into those workflows,” said Josh Resnik, CEO and President of FiscalNote. “Our listing in the OpenAI App Store represents an important step in FiscalNote’s evolution from a destination platform to global policy intelligence infrastructure. By programmatically delivering governed legislative and regulatory data into AI-driven environments, we are opening new pathways for scalable adoption, broader global reach, and long-term growth.”

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Lifesight Launches “Mia,” an Agentic AI Marketing Intelligence Agent

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Globe Newswire
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Lifesight Launches “Mia,” an Agentic AI Marketing Intelligence Agent

New AI agent helps marketing teams analyze performance, generate strategic recommendations, and act on unified measurement insights

Lifesight, a leader in unified marketing measurement, announced the launch of Mia, a new marketing intelligence agent designed to help ecommerce and retail marketing teams analyze performance data, generate strategic recommendations, and act faster on insights across channels.

Built on Lifesight’s Unified Measurement OS, Mia allows marketing teams to interact directly with their performance data and receive smart recommendations based on unified measurement across online and offline channels. The agent is designed to reduce the time spent on manual analysis and reporting while helping teams identify which marketing efforts truly drive revenue.

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

Agentic AI Is Emerging as the Next Layer of Commerce Intelligence

The introduction of Mia illustrates a wider shift towards agentic AI systems that help enterprise teams interpret data and manage complex workflows. In commerce and retail sectors, marketing teams are increasingly operating within fragmented environments that include retail media networks, marketplaces, social platforms, search channels, and owned customer data platforms. Simultaneously, privacy changes and signal loss have reduced the reliability of traditional attribution models. AI and agentic solutions are necessary, valuable additions to fill in gaps and surface actionable insights and increase decision velocity.

Industry analysts are increasingly viewing AI agents as a vital part of enterprise software. Gartner recently projected that by 2026, 40% of enterprise applications will incorporate task-specific AI agents, up from less than 5% in 2025. Meanwhile, executive adoption is gaining momentum. eMarketer reports that nearly three-quarters of U.S. C-level executives expect AI agents to have a role in their businesses.

As a result, organizations are exploring AI agents that can analyze complex datasets, generate recommendations, and help teams make faster decisions and actions based on measurable business outcomes.

How Mia Works

Mia functions as an agentic AI layer on top of Lifesight’s Unified Measurement OS, enabling marketing teams to go beyond static dashboards toward AI-assisted decision making.

Key capabilities include:

  • AI-Driven Performance Analysis: Mia continuously evaluates marketing performance data across channels using Lifesight’s unified measurement framework, which combines causal marketing mix modeling, incrementality testing, and causal attribution.
  • Scenario-Based Recommendations: Instead of providing a single recommendation, Mia generates multiple strategic scenarios. These may include aggressive growth strategies, balanced optimization approaches, or conservative investment options depending on a brand’s goals and risk appetite.
  • Transparent Decision Logic: Mia offers visibility into the reasoning behind its suggestions, allowing marketing teams to understand the assumptions, inputs, and data signals influencing each recommended action.
  • Automated Insight Generation: Marketing teams can ask Mia questions about campaign performance, channel effectiveness, or budget allocation and receive actionable insights without manually generating reports.
  • Reduced Manual Analysis: By automating repetitive analysis and reporting tasks, Mia frees marketing teams to spend less time gathering data and more time implementing growth strategies

“For years, marketing teams have been buried in dashboards but still struggling to answer a simple question: what actually drove growth,” said Tobin Thomas, Co-Founder and CEO of Lifesight. “Agentic AI changes that dynamic. Mia analyzes unified measurement data and surfaces clear, actionable recommendations so teams can move from reporting on performance to actively improving it.”

Lifesight at Shoptalk
Lifesight will showcase Mia at Shoptalk 2026, where the company will meet with retailers, e-commerce brands, and marketing leaders to explore the next generation of commerce intelligence.

Attendees can visit Lifesight at Booth #3317 to see Mia in action and learn how unified measurement and agentic AI can help brands understand which marketing investments are truly driving revenue.

Lifesight is a unified marketing measurement platform designed for marketers who want to make better decisions that optimize their marketing outcomes and drive profitable growth. Lifesight was founded in 2017 and serves hundreds of brands across the world. By making it simple to utilize modern measurement methodologies such as marketing mix modeling (MMM), incrementality testing, and causal attribution, Lifesight delivers precise, actionable insights that empower marketing leaders to grow their businesses with confidence and predictability. Our AI-powered tools facilitate comprehensive data centralization, full-funnel measurement, predictive forecasting and real-time optimization, ensuring businesses achieve maximum ROI and sustainable growth, in an ever-changing and competitive marketplace.

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