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Market Logic Network Helps Ecommerce Brands Prepare for Agentic Commerce and AI-Assisted Shopping

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Market Logic Network Helps Ecommerce Brands Prepare for Agentic Commerce and AI-Assisted Shopping

Company helps online stores strengthen product data, customer journeys, CRM automation, and digital infrastructure for the next stage of AI-powered ecommerce

Market Logic Network LLC, a business automation firm, announced new strategic support for ecommerce brands preparing for agentic commerce and AI-assisted shopping.

Agentic commerce will change how customers discover, compare, and buy products”

— Jordi Argomaniz, Co-founder of Market Logic Network

As AI-powered search, shopping assistants, recommendation engines, and conversational product discovery become more influential, ecommerce brands need more than attractive online stores. They need structured product information, clear category architecture, connected CRM systems, automated customer journeys, strong content, and reliable data that can support both human buyers and AI-assisted discovery.

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

Market Logic Network helps ecommerce businesses build the infrastructure required for this shift. The company supports online stores with website optimization, ecommerce automation, CRM integration, customer segmentation, product content improvement, email workflows, abandoned cart sequences, post-purchase communication, reporting dashboards, and AI-ready product discovery systems.

The company’s approach is built around a practical ecommerce challenge: many stores have products, traffic, and tools, but the systems around them are disconnected. Product pages may lack clear structure. Customer data may not flow into CRM. Email follow-up may be inconsistent. Reporting may not show where revenue is being lost. AI tools may not have enough structured context to support accurate product discovery.

Market Logic Network addresses these gaps by connecting ecommerce operations into a more complete growth system.

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

The company’s agentic commerce readiness services may include product page optimization, ecommerce CRM integration, AI-ready product descriptions, category content strategy, abandoned cart automation, customer lifecycle campaigns, product recommendation workflows, review and reputation systems, analytics configuration, and sales performance dashboards.

The objective is to help ecommerce brands prepare for a market where buying journeys may increasingly begin through AI-powered search, conversational assistants, product comparison tools, and automated recommendation environments.

With this service direction, Market Logic Network reinforces its role as a premium international partner for ecommerce brands looking to modernize their Online Store, improve customer journeys, and prepare for the future of AI-powered shopping.

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Trusted TV Launches Self-Service AI Studio to Create 30-Second TV Commercials

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Trusted TV Launches Self-Service AI Studio to Create 30-Second TV Commercials

Trusted TV | LinkedIn

mobile-first tool lets any business produce streaming TV-ready 30-second commercials in a single session, complete with on-screen banner, branded end screen, music and voiceover.

Trusted TV announced the launch of its self-service AI video studio, a mobile-first tool that lets a business create a complete, broadcast-ready 30-second commercial entirely from a smartphone. The studio puts full creative control in the hands of the advertiser, generating a video complete with an on-screen banner, a branded end screen, and a built-in call to action, in a single guided session. Advertisers can watch the finished video before they pay anything. Trusted TV then helps clients run that commercial on Prime Video and across streaming TV.

Where producing a television commercial once required a script, a crew, and an editing suite, Trusted TV has compressed the entire process into a few taps. From a phone, the system drafts the storyboard, generates the video, adds the banner overlay, and closes on a branded end screen and call to action. Each element is composed to broadcast standards and ready to air. The result is a video studio that fits in the user’s pocket, designed for owners who want to create on their own schedule without booking talent or learning professional software.

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

The new studio extends Trusted TV’s fully managed on-ramp to streaming TV. Finished commercials run on Prime Video and other streaming TV platforms through Amazon DSP, appearing across premium, brand-safe streaming environments. Campaigns use Amazon audience segments for precise targeting across shows, times, and devices.

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

The launch reflects a growing appetite among local advertisers for the reach and credibility of streaming TV, without the historical friction of production timelines, editing software, and complex media buying.

Trusted TV is a spin-off developed by the team behind Preflect, and is available now. Businesses and agencies can learn more and create their first commercial at trustedtv.com.

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HeyMarvin Reveals 94% of Leaders Say Research Should Drive Decisions, but Only 27% Consistently Use It

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HeyMarvin Reveals 94% of Leaders Say Research Should Drive Decisions, but Only 27% Consistently Use It

The State of Modern Research 2026 identifies the “listening gap” driving a measurable divide between customer insight and business action

HeyMarvin, the AI-native customer insights platform, released The State of Modern Research 2026: Closing the Listening Gap, a new report based on a survey of 309 research professionals, leaders, and research consumers. The findings expose a contradiction many organizations face: companies are investing heavily in collecting customer feedback, but that feedback rarely plays a role in the decisions that count. HeyMarvin calls this the “listening gap.”

94% of respondents say their leadership believes research is important, but only 27% reference it in almost every major decision

The listening gap is the distance between leadership’s intention to use customer research and their organization’s ability to surface it when decisions happen. For most companies, that distance is wider than they realize, and it’s costing them.

“Companies spend billions trying to understand customer needs,” said Prayag Narula, CEO and co-founder of HeyMarvin. “Yet they’re still making their most important product and business decisions without the right insights. The fix is building infrastructure like AI systems and agents that make it easy for everyone in your organization to access information about customers’ needs and pain points.”

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

Key takeaways from the report

  • 94% of respondents say their leadership believes research is important, but only 27% reference it in almost every major decision
  • Organizations that actively centralize their research in an accessible insights repository reference research in major decisions at a rate 25 percentage points higher than those that don’t
  • 93% of research professionals are using AI, but those with an active repository see significant AI time savings at more than three times the rate of those without one (51% vs. 16%)

The work has scaled, but the infrastructure hasn’t

Teams ran nearly four research methods in the past 12 months across an average of more than six software tools. Yet fewer than half (48%) actively use an insights repository to centralize their findings, and only 35% run a primarily always-on research function. Top-down mandates to listen to customers have outpaced the structures organizations have built to deliver on them.

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

Leadership and practitioners are both right about the problem

The report shows 73% of leaders say reviewing existing research is a formal requirement before major decisions. Only 37% of individual contributors agree. Senior leaders cite fragmented systems; practitioners cite a culture where decisions move too fast for research to catch up. Only 30% of researchers say executive leadership regularly accesses customer insights, and that number falls to 16% for the engineering teams building the products customers use.

93% use AI, but most are leaving value on the table

Nearly every respondent is using or experimenting with AI, and 72% report saving 25% or more of their time on at least some tasks. But most reach for general-purpose tools rather than purpose-built research AI. The organizations with an active insights repository see significant AI time savings at more than three times the rate of those without one (51% vs. 16%), which means infrastructure and AI effectiveness rise and fall together.

Buying decisions don’t match team priorities

Ease of use for non-researchers ranks last in tool evaluation criteria, cited by just 25% of respondents. Cost leads at 44%. Directors, who hold the budget, are three times more likely than individual contributors to identify as gatekeepers of research access (36% vs. 12%). The people closest to the data want to democratize it, but the people with the authority to do so more often keep access closed. For companies that say customer understanding drives their strategy, that’s a significant contradiction.

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Cognizant announces ServiceNow partnership to accelerate scalable, operationalized AI governance at enterprise scale

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Cognizant announces ServiceNow partnership to accelerate scalable, operationalized AI governance at enterprise scale

Cognizant logo

New integration pairs ServiceNow’s visibility and governance with Cognizant’s agentic intelligence and control platform, providing a path to help enable the continuous application of responsible AI principles across the full AI lifecycle

Cognizant announced the integration of Cognizant Neuro® AI Trust with ServiceNow, enhancing one of the most widely adopted enterprise AI platforms with a continuous AI assurance infrastructure purpose-built for enterprise scale. The integration is designed to give organizations a single, interoperable environment in which AI governance is not only visible and managed but actively enforced through responsible AI agents operating across every stage of the AI lifecycle.

AI deployment is no longer the constraint. The constraint is trust: the ability to confidently demonstrate, at scale, that AI running inside regulated processes, customer-facing systems and core operations is aligned with its intended purpose and defined controls. Without that assurance layer, enterprises hesitate at the threshold of real transformation.

The integrated offering is designed to offer users a fundamental shift in how they manage and scale AI. Where teams once struggled with fragmented visibility, manual compliance and slow deployment cycles, they now stand to gain a unified, real-time view of every AI asset in operation, with governance and risk controls embedded directly into their workflows. The result is designed to support faster, more confident AI deployment, audit readiness and the ability to demonstrate measurable business value to leadership, regulators and customers.

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

The vision is one where, when AI systems fail or drift, organizations know immediately, respond automatically and can demonstrate they were operating responsibly, shifting AI from a source of operational and reputational risk into a trusted business capability.

“The market has solved AI access. What enterprises now need is the ability to operate AI responsibly at the scale and speed their businesses demand,” said Sriram Kumaresan, Global Head of Cloud and Infrastructure Services, Cognizant. “With this integration, customers gain not just a platform for visibility, but an active operating layer that helps organizations operationalize and monitor responsible AI behavior continuously as their systems learn, adapt and act.”

The ServiceNow AI Control Tower is designed to provide the unified governance and observability backbone, unifying strategy, controls and performance management across every AI system, agent and workflow. Cognizant Neuro AI Trust extends this foundation with real-time assurance across the full AI enterprise stack, deploying a library of responsible AI and Guardian agents that orchestrate dynamically to support the application of fairness, safety, security, transparency and compliance principles throughout AI development and operation. The platform is built for interoperability, extending governance across third-party agentic networks to support consistent enforcement regardless of where AI systems operate. Together, the integrated solution is designed to move enterprises from periodic compliance to more continuous, observable AI assurance.

“The agentic AI terrain is expanding quickly in scope and in business impact, and yet the visibility gap is palpable. AI Control Tower gives organizations a single command center to govern every model, every agent and AI asset, and their identities and associated permissions across the enterprise, not just inside ServiceNow,” said John Aisien, senior vice president and general manager, Central Product Management, Security & Risk at ServiceNow. “Together with Cognizant, we’re closing this gap: connecting deployment to accountability, through a unified approach to governance. With a comprehensive framework for discovering, monitoring, managing and scaling AI, organizations can accelerate innovation while maintaining trust and control across their operations.”

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

The integration is designed for the realities of regulated enterprise AI. Cognizant’s platform comes with a library of leading standards, regulatory frameworks1 and guardrails with pre-built compliance content designed to compress the time from policy to operational implementation. The combined offering supports a three-phase operating model: plan with clarity, onboard with governance and operate with confidence. For enterprises facing the persistent challenge of closing the distance between AI investment and measurable business outcomes, governance becomes a source of speed rather than friction.

“The hard part of AI governance was never writing the policy; it’s enforcing it as systems learn and act. Clients increasingly want that gap closed automatically and tied to business outcomes. The pairing of Cognizant Neuro AI Trust with the ServiceNow AI Control Tower reflects where enterprise AI governance is headed: from static oversight to continuous, execution-driven operations,” said Nitish Mittal, Partner at Everest Group.

The combined offering reflects Cognizant’s broader strategy as an AI builder: helping enterprises move from AI experimentation to production by ensuring AI in production stays accountable to the people, policies and regulators that depend on it. More details on Cognizant Neuro AI Trust’s control and intelligence layers are expected to be announced in the near future.

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Messagepoint Announces MARCIEAssist™, the First Agentic AI Capability to Automate the Work of Customer Communications Management

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Messagepoint Announces MARCIEAssist™, the First Agentic AI Capability to Automate the Work of Customer Communications Management

Messagepoint Logo

Messagepoint, a leading customer communications management (CCM) solutions provider, announced the launch of MARCIEAssist™, the first agentic AI capability that automates the work of customer communications management.

Messagepoint’s MARCIEAssist is the first agentic AI capability that automates the work of customer communications management (CCM).

With MARCIEAssist, Messagepoint is introducing a fundamentally new model for customer communications management (CCM)—one where users no longer need to manually execute complex tasks. Instead, users simply describe what they want to accomplish, and MARCIEAssist intelligently plans and executes supported actions across content, rules, data, and templates—while keeping users fully in control.

Organizations operating in regulated industries face increasing pressure to deliver accurate, compliant, and highly personalized communications across channels—yet CCM platforms still rely on manual processes that are time-consuming, complex, and dependent on specialized expertise. MARCIEAssist was specifically designed to address these challenges by leveraging agentic AI to do the heavy lifting of CCM work, dramatically reducing the time and effort required to manage communications.

The first release of MARCIEAssist supports three core functions in Messagepoint:

  • Automating key content operations such as creating, editing, and refactoring content objects
  • Providing insights into content, rules, and communications
  • Offering contextual guidance to help users complete work faster and more accurately

Powered by Messagepoint’s proprietary AI platform, the Messagepoint Automation, Rationalization and Content Intelligence Engine (MARCIE), MARCIEAssist operates responsibly within strict governance boundaries, ensuring that actions align with user roles, permissions, and defined system controls. The solution does not access sensitive customer data and does not execute actions outside of its approved use cases. MARCIEAssist also provides full visibility into all actions taken, including detailed audit trails and rollback capabilities, enabling organizations to move faster while maintaining complete control.

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

Unlike simple AI assistants that merely recommend steps to help generate content, MARCIEAssist introduces a new class of AI to the CCM market. Its agentic capabilities:

  • Understand user intent and seek clarification when needed
  • Plan how to complete the requested work
  • Execute supported actions within Messagepoint
  • Confirm, track and report results to the user

This shift—from assisting users to permissibly acting on their behalf—further enables organizations to accelerate content operations, reduce reliance on technical expertise, and simplify complex workflows.

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

“Messagepoint has been at the forefront of AI innovation in the CCM space,” said Kaspar Roos, Founder & CEO of Aspire CCS. “MARCIEAssist highlights how agentic AI is moving from concept to reality and how it can fundamentally transform the work of customer communications management. What stands out is Messagepoint’s purpose-built AI architecture for CCM, focused on solving the operational complexity of communications management rather than simply incorporating LLMs into existing solutions.”

“Agentic AI is about moving from AI that helps users do work, to AI that can actually do the work for them—safely, transparently, and under their control,” said Steve Biancaniello, CEO and co-founder of Messagepoint. “Messagepoint’s mission has always been to simplify and accelerate the management and workflow of these complex customer communications while ensuring accuracy and compliance. MARCIEAssist not only takes our mission to the next level but also represents the future of how organizations will manage these communications.”

Messagepoint has been at the forefront of AI innovation in the CCM space since introducing its AI-powered Content Intelligence platform in 2018, helping organizations rationalize, migrate, and optimize content. With the introduction of MARCIEAssist, the first agentic AI capability for CCM, Messagepoint continues to lead the industry in developing innovative solutions that maximize efficiency, simplify complexity, and ensure accuracy and compliance.

“Messagepoint built its differentiation on corpus-wide content intelligence, and MARCIEAssist is the logical next step: applying agentic AI to act across content, rules, data, and templates rather than only advise on them,” said Saurabh Raj, Principal Analyst of QKS Group. “What distinguishes this is the combination of agentic action with the governance, audit trails, and rollback that regulated industries require. It reflects where CCM is heading: AI that does the work, under the user’s control.”

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Bolder Apps Leads the AI-Native Wave of Mobile App Development with New AI Integrations

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AppTec Simplifies Device Provisioning for Hybrid Workforces with Mobile Device Management

Miami-based, AI-native agency Bolder Apps is leading the next wave of mobile app development by applying artificial intelligence across product design, engineering, and analysis on every active client build.

Bolder Apps is integrating artificial intelligence into its mobile app development services to cut development timelines and improve design, testing, and analysis.

The approach focuses on solving product and user challenges rather than adding features superficially.

This comes as advancements in AI model capabilities are changing how digital products are designed, built, and maintained. Improvements in model performance are compressing development timelines and enabling AI systems to support increasingly complex tasks, including code generation, analysis, and workflow automation.

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

Bolder Apps is applying AI across ongoing client builds and development cycles, with applications across three core areas of mobile development:

  • User experience design, including adaptive interfaces and personalization
  • Workflow optimization, through automation of repetitive engineering and testing tasks
  • Product intelligence, using AI-driven analysis to inform iteration and roadmap planning

“Most agencies are still treating AI as a feature to bolt onto a project. We treat it as the operating model,” said Andrew Abbey, Chief Marketing Officer at Bolder Apps. “Every Bolder build now forms with AI inside the loop, including design, code, QA, and analytics; and it’s changed what we can deliver in an 8-week or less sprint. The agencies that adapt their entire process around AI will win the next few years. The ones that don’t will likely become legacy vendors.”

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

Abbey added that businesses should move beyond limited experimentation and begin applying AI within structured production environments, supported by leadership oversight and cross-functional collaboration.

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Locala Appoints Grant Gudgel as Chief Marketing Officer

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Locala Appoints Grant Gudgel as Chief Marketing Officer

Locala

Locala announced the appointment of Grant Gudgel as Chief Marketing Officer, as the company prepares to introduce a sharpened market vision around agentically enabled adaptive advertising.

Adaptive Advertising captures a reality every marketer understands: markets do not stand still.

Gudgel joins Locala at a time when advertisers are under growing pressure to adapt to changing market conditions and connect media investment more directly to business outcomes.

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

“What attracted me to Locala is that it helps brands understand what is happening in each market before media decisions are made,” said Gudgel. “Most platforms focus on buying media more efficiently once a campaign is in-market. Locala starts earlier. By combining business context, market dynamics, competitive signals, consumer behavior, location intelligence, and AI-enabled agents, it helps advertisers turn complex market signals into decisions about where to invest, how to allocate budgets, and how to adapt across thousands of local markets. We call this Adaptive Advertising.”

Gudgel said Locala’s AI-powered agent framework is a key enabler of that approach.

“Locala Agents are what make Adaptive Advertising scalable,” he added. “They help teams continuously analyze market-level business signals, surface opportunities and competitive risks, and make faster, more informed decisions about where and how to invest as conditions change.”

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

Gudgel brings extensive experience across advertising technology, media, marketing leadership, strategic growth, and M&A. Before joining Locala, he served as SVP Marketing at Verve and previously as SVP and Head of Teads Studio. He has also advised industry players, including Kargo, and private equity groups on growth strategy and M&A opportunities across the advertising technology landscape.

“Grant joins Locala at an important moment for our company and for the advertising industry,” said Christophe Collet, Founder and CEO of Locala. “Advertisers need a more adaptive way to understand markets, connect media to business outcomes, and act as customer behavior changes. Grant brings the strategic clarity, market experience, and category perspective to help us tell that story and accelerate Locala’s next stage of growth.”

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Cynapse.ai Unveils Latest Release of cyRoad, a First-Of-Its-Kind Agentic Video Intelligence Solution for Highways

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Cynapse.ai Unveils Latest Release of cyRoad, a First-Of-Its-Kind Agentic Video Intelligence Solution for Highways

Who We Are - ITS America

Helping DOTs and transportation agencies detect incidents earlier, unlock actionable traffic intelligence, and enhance road user safety

cynapse.ai, a leading provider of agentic video intelligence solutions, announced the latest release of cyRoad, its AI-powered platform built to help transportation agencies turn existing highway camera networks into real-time operational intelligence.

Designed for Departments of Transportation (DOTs), transportation agencies, and traffic management centers, cyRoad enables organizations to automatically detect incidents, monitor traffic flow, inspect road conditions, manage work zone safety, and enforce traffic violations, without requiring costly replacement of deployed camera infrastructure.

Supporting next-generation intelligent transportation systems, cyRoad gives transportation teams the tools to move from reactive monitoring to proactive highway management by detecting incidents earlier, surfacing actionable traffic intelligence, enhancing road user safety and reducing operational costs across every mile of highway.

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

The latest release further elevates cyRoad from a video analytics tool into an agentic traffic intelligence layer. Powered by the cynapse copilot and AI agents, which enables operators to query video data, uncover insights, and generate reports on demand using natural language, the platform delivers:

  • Automatic Incident Detection and Response
    Incidents, including collision, overturned vehicles, and hazards on road, are identified in real time, giving operators real-time visibility before situations escalate. The moment an event is detected, AI agents take over automatically, triggering alerts, notifying the right teams, and generating structured incident summary reports.
  • Traffic Analytics and Operational Intelligence
    Raw footage from every connected camera is continuously transformed into structured intelligence, including vehicle counts, types, directions, lanes, speeds, congestion levels, and queue lengths, giving operators what they need to optimize traffic flow and make better-informed decisions for planning and infrastructure.
  • Automated Road and Asset Inspection
    Road surfaces and assets are continuously monitored by the cameras, allowing cyRoad to automatically alert for road infrastructure defects such as potholes, cracks, sinkholes, and damaged signage. Defects and deterioration are flagged early before they escalate into costly repairs.
  • Work Zone Safety
    Active road works are monitored for on-site safety risks, including speeding vehicles near construction zones, barricade placement, cone positioning, and PPE non-compliance, giving agencies the real-time visibility they need to intervene before incidents occur.
  • Traffic Violation Detection
    cyRoad supports agencies in identifying and recording traffic violations, including speeding, illegal stopping, red light infractions, and wrong-way driving. Every detected violation is captured with structured, evidence-backed records to support enforcement actions and improve road compliance.

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

“DOTs and transportation agencies are being asked to do more with what they have, and the pressure to improve highway safety and response times has never been greater,” said Paul Wilson, President of cynapse.ai. “cyRoad is our answer to that challenge. It gives organizations the data-driven foundation to make strategic decisions, meet federal safety mandates, and demonstrate measurable impact, while ensuring every operator has the intelligence they need to respond with confidence the moment something happens on the road.”

The launch comes as transportation agencies increasingly adopt AI-driven intelligent transportation systems to improve operational resilience, support Vision Zero safety initiatives, and modernize highway operations without significant infrastructure replacement costs.

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Tempo Software Accelerates AI Innovation with New Atlassian Marketplace Offerings

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Tempo Software Accelerates AI Innovation with New Atlassian Marketplace Offerings

Tempo Software Logo

New Rovo agents and Maestro Program help organizations reduce complexity and stop strategic drift before it compounds

Tempo Software, a leader in adaptive portfolio management, is expanding its AI roadmap with new capabilities in the Atlassian Marketplace, including four new Rovo agents and the introduction of the Tempo Maestro Program. Introduced following Team ’26, the new offerings are designed to help organizations streamline execution, reduce operational complexity, and better govern work in an increasingly AI-driven enterprise environment.

“Our expanding Rovo portfolio is designed to take on the manual work that slows teams down and creates operational blind spots, so people can focus on higher-value execution,” said Tempo CPO Kevin Nanney.

“We’re entering a new era of execution, where AI and cloud are reshaping how organizations plan and deliver work, but speed without alignment creates noise,” said Vic Chynoweth, CEO of Tempo. “As AI adoption accelerates, organizations are looking for smarter ways to connect strategy to execution, surface problems before they compound, and help teams move faster with greater clarity.”

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

Expanding AI Execution: New Rovo Agents

Building on its AI roadmap, Tempo is expanding its Rovo portfolio, with four new agents designed to streamline complex enterprise workflows:

  • Structure Creation and Configuration Agent: Simplifies the setup of portfolio hierarchies using natural language
  • Reporting Agents – Three New Business Intelligence (BI) Connectors: Automates data source creation for advanced analytics for Tableau, Power BI, and Data Studio

“Most organizations are still figuring out how to operationalize AI in a way that meaningfully improves execution,” said Kevin Nanney, Chief Product Officer at Tempo. “Our expanding Rovo portfolio is designed to take on the manual work that slows teams down and creates operational blind spots, so people can focus on higher-value execution.”

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

Tempo’s new Rovo agents are directly integrated into its apps via Atlassian’s Forge platform, replacing individual Marketplace downloads. This embeds AI capabilities into core workflows such as Structure, Timesheets, Custom Charts, and BI Connectors to create a secure, seamless experience. Jira users with active Rovo subscriptions can access the new integrations now.

Orchestrating Mastery: The Maestro Program

To support the expert practitioners driving these strategic transformations, Tempo is also launching the Tempo Maestro Program – an initiative that recognizes practitioners who are shaping how modern enterprises operate.

The program is built on three pillars:

  • Product Co-Innovation: Enterprise-scale expertise and high-fidelity feedback that sharpen how Tempo builds its solutions
  • Thought Leadership: Proven frameworks using Tempo for addressing high-stakes business challenges at scale
  • Ecosystem Leadership: Deep cross-platform fluency and a track record of solving complex architectural problems

“The most impactful innovation doesn’t happen in isolation – it’s shaped by practitioners solving real-world complexity every day,” said Marie Michéle Caron, Chief Revenue Officer at Tempo. “The Maestro Program creates a more intentional way to recognize those leaders and accelerate how we learn, co-innovate, and solve at scale.”

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DoorDash Ads Becomes a Global Commerce Media Platform

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Market Logic Network Helps Ecommerce Brands Prepare for Agentic Commerce and AI-Assisted Shopping

Doordash Logo Vector Logo - Download Free SVG Icon | Worldvectorlogo

New ad formats, global offsite reach, and a LiveRamp partnership give advertisers new ways to connect with high-intent consumers ready to buy

Key Takeaways

  • Spotlight, a new immersive homepage ad format, delivers 2x higher click-through rates than banners and is bringing first-time customers to brands at scale.
  • Symbiosys, a DoorDash company, powers offsite commerce media for retailers globally — with media dollars through the platform nearly doubling since the 2025 acquisition.
  • A new partnership with LiveRamp finds that over 80% of consumers reached through DoorDash campaigns are new to advertisers’ customer base.

DoorDash Ads is launching a new suite of tools spanning ad formats, offsite reach, campaign automation, and measurement — with a common purpose: helping merchants drive more sales, helping brands reach new consumers, and giving every advertiser a clearer view of what’s working.

“Consumers come to DoorDash ready to buy, and that’s a fundamentally different opportunity for advertisers than most platforms can offer,” said Toby Espinosa, VP of Ads at DoorDash. “Every order starts with an occasion — a Friday night, a birthday, a last-minute grocery run. We’ve built a platform around those moments, and now we can help businesses of every size reach consumers in them and measure what’s working.”

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

Across DoorDash, Wolt, and Deliveroo, the platforms now support more than 400,000 advertisers — and global brands are already putting that scale to work. “DoorDash, Wolt, and Deliveroo have become important partners in how we bring our brands to market,” said PepsiCo. “Their reach allows us to execute across regions while staying closely connected to local consumers.”

What’s New in DoorDash Ads

  • New Spotlight Ad Format: A new premium homepage placement gives restaurants and brands a rich, immersive canvas to drive discovery at key moments of intent — delivering 2x higher click-through rates than banners in early testing. First-time customers account for over 20% of sales for restaurants and over 36% for CPG brands.
  • Scaling Offsite with Symbiosys: From retailers to brands, advertisers are leveraging Symbiosys, a DoorDash company, to reach consumers across the channels where they actively shop. Symbiosys powers offsite and onsite across the Americas, EMEA, and APAC — connecting retail audiences to consumers across search, social, and display with closed-loop measurement, without rebuilding their existing technology stack. Dollar General offers campaign activation on Meta and supports unified Sponsored Product Ad campaigns across its onsite experience and DoorDash storefront. Brands are also unlocking meaningful value. The Magnum Ice Cream Company became the first brand to activate Symbiosys’ full social channel suite with DoorDash, tapping into DoorDash’s first-party data to reach high-intent buyers — delivering an 85% increase in new consumers versus the prior period.

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

  • LiveRamp Clean Room Measurement: A new partnership with LiveRamp enables privacy-centric measurement that matches advertiser data with DoorDash data — surfacing incremental reach and campaign impact. A leading CPG brand found that, in a small test using four of its portfolio brands, nearly 100% of consumers reached through sponsored product campaigns were new to its existing customer base. A national restaurant chain found that 81% of customers engaging with its brand on DoorDash were exclusive to DoorDash.
  • Enhanced Smart Campaigns: Now supporting buy one, get one free in addition to spend X, get Y promotions, Smart Campaigns automatically manage consumer targeting, discounts, and campaign limits within the Merchant Portal — dynamically adjusting in real time to reduce manual optimization. Pubbelly Sushi generated over $300,000 in sales and 4,500 orders over nine months, returning more than $4 for every $1 spent, with select locations seeing 20%+ net sales growth after adopting the latest version.
  • Auto-bidding with Minimum ROAS: For CPG advertisers, Auto-bidding now supports a minimum return on ad spend target, using machine learning to optimize bids in real time. In testing, more than 95% of Auto-bidding campaigns exceeded the input minimum ROAS.

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BrightSign® Launches New Enhanced Device Management Solution Ahead of InfoComm 2026

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BrightSign® Launches New Enhanced Device Management Solution Ahead of InfoComm 2026

BrightSign LLC Logo

BrightSign Control Plus, along with an expanding global BrightSign Built-In ecosystem, deliver digital signage at scale across industry use cases.

BrightSign, the provider of the most advanced, capable, and trusted digital media players and operating system, announced BrightSign Control Plus, a premium tier of its device management solution for digital signage players, BrightSign Control (previously bsn.Control). It comes in response to integrators and end-users needing greater management and visibility capabilities across distributed signage networks to maintain consistent experiences that are critical to business and operational performance.

Control Plus is cloud-based, allowing users to scale, configure, monitor, update, and schedule actions for fleets of players, no matter where they are, with a single, easy-to-use dashboard. BrightSign Control Plus was purpose-built for IT managers, multisite operators, system integrators, and anyone who prioritizes real-time visibility and ease of device management at scale across enterprise deployments. BrightSign Control, which is used across hundreds of thousands of players worldwide, remains included for free with the purchase of digital media players.

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Key benefits include:

  • Accelerate time-to-market by quicky provisioning and deploying fleets of players
  • Maintain version consistency by updating fleets of players simultaneously with firmware, batch jobs, or job scheduling capabilities
  • Facilitate geographical operations by grouping devices by location, region, or function
  • Monitor and troubleshoot entire fleets with health dashboards, logs, and automated alerts
  • Reduce time and costs by remotely rebooting and reconfiguring devices in bulk
  • Gain AI-powered help with diagnostics, system navigation, and more
  • Works alongside existing CMS deployments

With the launch of BrightSign Control Plus, BrightSign’s existing software offerings have been rebranded to represent a more cohesive and unified portfolio:

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  • bsn.Control is now BrightSign Control
  • brightAuthor connected is now BrightSign Author
  • bsn.Content is now BrightSign Author Plus

“We’re giving customers unparalleled choice of intelligent digital signage, built-in form factors, and new subscription services, regardless of how they operate. This is all while maximizing the benefits of enterprise-grade performance, reliability, security, and scalability that make BrightSign the standard in digital signage,” said Steve Durkee, CEO of BrightSign. “Whether customers want out of the box digital signage or tailored-vertical specific options through our expanded CMS and BrightSign Built-In (BSBI) ecosystem, BrightSign is making it easier and more advantageous for buyers to deploy best-in-class technology for unmatched value.”

BrightSign will showcase these new software capabilities at InfoComm 2026, booth C5301, in Las Vegas, NV from June 17-19. Additional features at the booth include:

  • Growing global BrightSign Built-In (BSBI) partner ecosystem for unrivaled display choice: BrightSign continues to enable the delivery of new commercial grade displays from leading global manufacturers, combining hardware excellence with BrightSign’s best-in-class operating system, BrightSignOS™, and ultimate CMS choice. For the first time at InfoComm, BrightSign will showcase the Sharp SDM Player with BrightSign Built-In, alongside other new BrightSign Built-In solutions catered toward a global market. This underscores the countless opportunities where display manufacturers are leveraging BrightSign, its operating system, and its growing partner and CMS network.
  • Real-world signage environments for reliable, responsive deployments: BrightSign will bring real-world signage environments to life at the booth, showcasing the technology behind smarter, more reliable, and responsive digital signage. Each demo will showcase how BrightSign powers digital signage in settings where performance and reliability matter most, delivering measurable business outcomes. Visitors can discover retail, quick service restaurant (QSR), transportation, and healthcare demos, with partner solutions involved at various stages of the experience.
  • AI-ready and market-leading signage applications: BrightSign brings intelligence to digital signage with a built-in Neural Processing Unit (NPU) that can run powerful AI applications directly on the player. Visitors will see various AI applications in signage. For example, how AI can detect content anomalies, such as incorrect aspect ratios and blank screens, using AI to accelerate diagnoses and fixes. The company will also showcase its reliable, secure, and scalable digital signage solutions trusted by customers across industries, including the BrightSign XD6, BrightSign HD6 and BrightSign XS6.

BrightSign will also be a select technology partner powering InfoComm’s Retail Experience at booth C9425. The dynamic and interactive showcase will bring together AV, data, and digital signage that drives modern commerce. Attendees can see real-world use cases brought to life by BrightSign, including high-impact merchandising, boutique fashion, and a checkout reimagining point of sale (POS). Additionally, BrightSign will power activations at the InfoComm Smart Workplace immersive environment, run by FORTÉ at booth C5143. Visitors can experience how people, spaces, and technology work in tandem to drive collaboration and progress.

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Amplify Expands Multi-Custodial Integration with Wealthbox CRM

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Amplify Expands Multi-Custodial Integration with Wealthbox CRM

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API-first architecture allows Wealthbox client data to flow from onboarding through multi-custodial account opening, investment management and reporting within the Amplify platform

Amplify Technology, LLC (“Amplify”), the AI-native RIA operating platform built on data lake architecture, announced a new integration with Wealthbox CRM, one of the most widely used CRM platforms in the independent advisory industry. The integration allows Wealthbox client data to flow directly into Amplify’s digital onboarding workflow and continue through multi-custodial account opening, investment management, trading, and performance reporting, eliminating duplicate data entry across the client lifecycle.

The Wealthbox integration reflects Amplify’s API-first architecture, which allows firms to connect leading fintech solutions into a unified operating environment rather than managing disconnected applications and fragmented workflows. Amplify’s integrations span CRM, custody, electronic signature, and model delivery, creating a connected data layer that supports the full advisor and client experience.

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Wealthbox joins Redtail CRM, Goldman Sachs Custody Solutions, and DocuSign among Amplify’s growing integration ecosystem, which spans CRM, custody, electronic signature, and model delivery solutions designed to support a connected advisor operating environment.

“The Wealthbox integration is a good example of how we think about the all-in-one experience,” said Churni Bhattacharya, Chief Product Officer, Amplify. “Traditional all-in-one platforms offer a fixed menu where you either take what’s built in or you go without. We build where building is the right answer, and we partner where partnering is. The layer underneath remains unchanged, including unified data, execution, and presentation across every module. That’s the experience advisors actually want.”

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Firms can connect Wealthbox to Amplify through secure authorization directly within platform settings. Once connected, advisors can import client data directly into Amplify’s digital onboarding workflow, automatically populating key onboarding fields including name, address, email, date of birth, and phone number.

Amplify is a unified wealth management operating platform for RIAs, broker-dealers, and wealth management enterprises. The firm was named to WealthAdvisor’s America’s Best TAMPs in 2025 and 2026 with special distinction for Best Value and earned the highest TAMP CSAT rating (8.67) in the 2026 T3/Inside Information Software Survey. Amplify currently supports more than 655 advisors and $24.5 billion in assets on platform.

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Midnight Labs Announces Investment from Sony Innovation Fund to Lead AI-Powered IP Enforcement and Content Protection

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Midnight Labs Announces Investment from Sony Innovation Fund to Lead AI-Powered IP Enforcement and Content Protection

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Dubbed “The Internet’s Delete Button,” Midnight Labs is the first enforcement platform to deliver court-admissible evidence at scale, with 2.8 billion takedowns and counting

Midnight Labs, the market leader in predictive IP protection for entertainment, gaming and content industries, announced an investment from the Sony Innovation Fund. The investment will fuel the expansion of Midnight Labs’ agentic Enforcement Engine to protect high-value entertainment IP from mass piracy, deepfakes and AI-generated infringement in the U.S. and Japanese markets.

Midnight Labs, the Internet’s Delete Button, secures the full IP chain against generative AI misuse, deepfakes and piracy, including creator content, brand identity, NILV, character likeness, studio assets, and audio/video content, including live streams.

Video piracy alone will drive an estimated $125 billion in annual revenue leakage by 2028. Dubbed “The Internet’s Delete Button,” Midnight Labs delivers automated enforcement workflows that once took weeks in minutes, performing 120 hours of scanning, detection, analysis, verification and removal in just 60 seconds. To date, Midnight Labs has removed more than 2.8 billion pieces of infringing content, protecting the world’s largest streaming platforms, podcast networks, talent agencies and Fortune 100 executives. Through its creator-focused product, Ceartas (/ˈkar-tɪs/, the Irish word for justice), Midnight Labs also protects the world’s biggest content creators and creator-economy brands. Unlike traditional legacy solutions that focus on counterfeit goods, Midnight Labs focuses on the content that most directly undermines revenue and erodes reputation, including pirated films, leaked music, cloned livestreams, and weaponized deepfakes targeting talent and executives.

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“Generative AI has industrialized piracy, exposing IP holders to both financial loss and real-time reputational damage,” said Dan Purcell, CEO and founder of Midnight Labs. “A single deepfake of a CEO, created in seconds and distributed across thousands of sites, can cause immediate, catastrophic harm before a legal team can even open a ticket. Traditional digital rights management built on manual processes simply cannot keep pace with AI-generated infringement, leaving legal and content protection teams overwhelmed. We make enforcement autonomous by scanning, detecting, proving and removing stolen content faster than it can spread, returning control to IP holders over their content, reputation and revenue. The backing of Sony Innovation Fund accelerates that mission.”

Court-Admissible Evidence at Scale.

Midnight Labs is the first enforcement platform that integrates legal-grade evidence collection directly into an automated pipeline. The platform backs every takedown with a forensic evidence bundle, including time-stamped screenshots, cryptographic hashes, HTML source archives and full network records. This approach turns enforcement from a reactive legal chore into a proactive asset for rights holders and ensures IP holders receive litigation-ready documentation without manual work.

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Protecting the Full IP Chain.

Midnight Labs secures the full IP chain against generative AI misuse, deepfakes and piracy, including creator content, brand identity, NILV (Name/Image/Likeness/Voice), character likeness, studio assets, and audio/video content, including live streams. The platform continuously scans more than 75 million sources, including the dark web and non-compliant platforms, identifies threats in real time and automates takedowns, filings and compliance workflows. Critically, Midnight Labs does not rely on external AI models, ensuring full privacy, security and control of sensitive material.

Market Expansion in Japan and APAC.

Manga remains the most pirated content globally, and sophisticated digital piracy syndicates operate at unprecedented scale in Japan, making the country uniquely vulnerable to AI-generated copyright infringement. The investment from the Sony Innovation Fund accelerates Midnight Labs’ expansion in Japan and across APAC, giving the company a stronghold to dismantle these networks by removing content and neutralizing threats before damage spreads.

“Midnight Labs is tackling an important and increasingly complex problem for the creative industries. We are pleased to support the team and look forward to collaborating as they build solutions for rights holders worldwide,” said Antonio Avitabile, Managing Director, Sony Ventures EMEA.

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TwelveLabs Achieves AWS AI Competency Recognition Status

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TwelveLabs Achieves AWS AI Competency Recognition Status

TwelveLabs: Video Intelligence Platform & API

Recognition validates TwelveLabs’ technical expertise and customer success on AWS as the companies expand video intelligence collaboration

TwelveLabs, the video understanding company, today announced that it earned the Amazon Web Services (AWS) AI Competency, a specialization that recognizes TwelveLabs as an AWS Partner with clear technical proficiency and success delivering AI solutions on AWS.

“Achieving the AWS AI Competency is another point of validation of TwelveLabs’ technology, which allows enterprises turn video into searchable, usable intelligence,” said Danny Nicolopoulos, Head of Strategic Partnerships at TwelveLabs. “Together with AWS, we’re making it easier for customers to build with sophisticated video understanding models, modernize large-scale archives, and unlock new value from their video data.”

TwelveLabs received its designation based on the capabilities and enterprise deployment of its state-of-the-art video understanding models. Marengo enables multimodal video search and semantic understanding across speech, motion, objects, scenes, and contextual relationships. Pegasus transforms video content into structured, searchable intelligence that supports summarization, reasoning, and downstream AI workflows.

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Expanding Collaboration Across AWS

This AI Competency designation builds upon the strength of TwelveLabs’ strategic relationship with AWS, which spans product integration, joint go-to-market programs, and enterprise customer deployments. TwelveLabs CEO Jae Lee is also a member of the AWS Customer Advisory Board (CAB), providing valuable feedback to AWS leadership and strengthening collaboration between the companies. The company also maintains close product collaboration with the Amazon S3 and S3 Vectors service teams, and the two continue to collaborate in an effort to enable organizations to operationalize video intelligence workflows at enterprise scale on AWS.

Notably, TwelveLabs and AWS recently launched a program designed to allow media companies migrate petabyte-scale video archives to AWS and unlock their commercial value using TwelveLabs. The program, developed in collaboration with AWS Media & Entertainment, as well as migration partners Cloudfirst.io and Iron Mountain, delivers an end-to-end pipeline from secure archive migration into Amazon S3 through AI-powered indexing for search, licensing, and monetization.

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This initiative has already yielded strong results for participants. For example, one major broadcast news company using TwelveLabs increased metadata coverage by 10x, opening licensing pathways that were previously inaccessible due to the sheer volume and inconsistency of legacy archive metadata.

As organizations look for opportunities to leverage TwelveLabs and AWS, the companies are committed to making it easier for enterprises and developers to build with TwelveLabs models directly within the AWS network. TwelveLabs’ Marengo 3.0 and Pegasus 1.2 are currently available on Amazon Bedrock, with Pegasus 1.5 coming soon.

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DataGroomr Announces Agentic Enrichment

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DataGroomr Announces Agentic Enrichment

Data Verification and Validation for Email, Phone and Address | DataGroomr  Verify for Salesforce | Salesforce AppExchange

DataGroomr customers can now orchestrate GenAI and third-party enrichment providers through agentic workflows while maintaining clean, trusted Salesforce data.

DataGroomr announced new AI-powered enrichment capabilities for its Salesforce data quality platform on Salesforce AgentExchange, Salesforce’s marketplace for the agentic era that brings together the rich ecosystems of AppExchange, Slack, and Agentforce into one experience. The new capability helps organizations orchestrate GenAI and third-party enrichment providers through AI-powered workflows with natural language prompts.

As organizations increasingly adopt AI and revenue operations automation across sales and marketing workflows, CRM data quality has become more critical. Organizations are increasingly combining GenAI and multiple enrichment providers to improve CRM coverage, automate workflows, and accelerate GTM execution. 
 
However, enrichment often introduces duplicate records, inaccurate values, inconsistent formatting, and fragmented data that reduce trust in reporting, forecasting, routing, and AI-driven decision-making. DataGroomr helps organizations operationalize enrichment while ensuring CRM data remains trusted and actionable.

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DataGroomr’s new capabilities include:

  • Agentic enrichment workflows
  • Native Apollo, Dun & Bradstreet, ZoomInfo, and other MCP-based data provider integrations
  • Natural language enrichment workflows
  • Quick Start templates
  • Dataset-level enrichment orchestration
  • Real-time enrichment triggers

Salesforce Admins and Operations teams need trustworthy data to support reporting, forecasting, automation, and AI initiatives. Sales and Marketing leaders require complete and accurate account, lead, and contact data to improve targeting and pipeline generation. DataGroomr helps organizations deduplicate, cleanse, enrich, verify, standardize, and coordinate Salesforce data workflows without the cumbersome setup and configuration required by legacy tools.

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“For years, DataGroomr has helped organizations maintain clean, trusted Salesforce data,” said Steve Pogrebivsky, DataGroomr’s CEO. “We’re extending that foundation into agentic enrichment workflows. Organizations can now orchestrate GenAI and third-party enrichment providers within Salesforce while ensuring CRM data remains deduplicated, standardized, and trusted for GTM execution and AI initiatives.”

“With the new AgentExchange, partners like DataGroomr get better access to Salesforce’s entire install base and tools that help them build, manage, and scale their distribution more efficiently than ever before,” said Tyler Carlson, SVP and Head of Product, AgentExchange and Ecosystem at Salesforce. “DataGroomr’s AgentExchange solution is helping customers accelerate business transformation by maximizing Salesforce data quality and trusted CRM operations.”

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TiVo Video Trends Report Finds Consumer Video Engagement Reached Peak Levels in 2025 Despite Economic Pressure

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TiVo Video Trends Report Finds Consumer Video Engagement Reached Peak Levels in 2025 Despite Economic Pressure

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Households returned to 10+ video services while daily viewing surpassed five hours, marking the highest engagement levels since 2021

TiVo, a wholly owned subsidiary of Xperi Inc., released its Q4 2025 Video Trends Report, which reinforces that video serves as a historically resilient, high-priority category, even as the entertainment landscape grows increasingly fragmented and competitive.

The report finds that even amid economic pressures that could impact discretionary entertainment spending, consumers continue to prioritize home entertainment, watching more video daily than at any time since 2021. In Q4 2025, engagement continued to climb, with households returning to more than 10 video services on average following a brief decline last year, daily viewing surpassing five hours and monthly entertainment spending rising to $161, reflecting year-over-year growth after a post-pandemic dip. The findings reinforce that video serves as a historically resilient, high-priority category, even as the entertainment landscape grows increasingly fragmented and competitive.

As entertainment ecosystems continue to expand, viewing preferences themselves remain relatively stable. About half of respondents prefer streaming services to release an entire season at once, compared to roughly 20% who favor a weekly episode rollout, emphasizing a continued demand for convenience and flexible viewing experiences.

“Consumers are watching more video than ever before, but they’re enjoying that content across an increasingly fragmented mix of platforms and services,” said Geir Skaaden, chief products and services officer at Xperi. “As the entertainment ecosystem continues to expand, helping viewers easily discover and access the content they want has become more important than ever. For advertisers and platforms alike, delivering simple, seamless viewing experiences will be critical to reaching audiences and keeping them engaged.”

As viewing time rises, discovery friction grows

While viewing continues to expand across platforms, content discovery remains a growing challenge. As households manage more services, viewers are navigating a complex content ecosystem, with 40% of consumers checking two to three different apps before deciding what to watch. Additionally, discovery is shifting beyond the platforms themselves with word of mouth (49%) and social media (40%) most often influencing viewers. This reliance on external inputs, combined with increased fragmentation, is making content discovery less efficient and more frustrating for viewers.

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Local content stays on top

Looking at consumed content, local programming accounts for nearly 30% of total viewing time, an increase of approximately five percentage points year-over-year. Sports also remain a key driver of engagement, with nearly 60% of sports viewers relying on pay TV as their primary source. Live and local content continue to anchor viewing behavior in a notably fragmented environment.

“The number of viewing options available to consumers continues to grow, but what is most notable is how audiences are responding to that expansion,” said TVREV’s co-founder and lead analyst, Alan Wolk. “Consumers are becoming more selective about where they spend their time and money, and entertainment services remain a priority. Live sports and local programming serve as important anchors, while the broader market is shifting toward simpler, more value-conscious viewing choices. The industry is entering a phase where effective curation and discovery matter just as much as scale.”

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While viewing expands, simplicity becomes essential

The report reflects a video ecosystem defined by expanding choice, stronger engagement and increased complexity. Consumers are watching more content across more services, but they are also placing greater value on simplicity, convenience and efficient discovery. For content providers, distributors and advertisers, the findings underscore a growing opportunity to improve how viewers navigate and connect with content in an increasingly crowded marketplace.

Additional TiVo Video Trends Report highlights:

  • Ad-supported growth: More than half of consumers (54%) now use ad-supported subscription tiers, while AVOD/FAST adoption rose to 70% in Q4 2025, up five percentage points year-over-year. AVOD and FAST services now account for 13% of total viewing time.
  • FAST audiences are watching more: The average FAST user now watches 7.5 channels, up more than two channels year-over-year. Pluto TV, Tubi, Roku Channel and Amazon Prime Video remain the leading FAST destinations.
  • Discovery extends beyond apps: Smart TV home screens are becoming increasingly important gateways for content discovery and advertising, with owners spending 57% of their non-viewing time on the home screen.
  • Consumers are prioritizing value: More than 35% of consumers routinely reassess subscriptions and viewing choices to balance cost, access and content availability.
  • Fragmentation fuels discovery challenges: As the number of services grows, 40% of consumers report checking multiple apps before deciding what to watch.

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EDO Launches Ad EnGage Optimize — Autonomous, AI-Powered Solution Bringing Outcomes-Driven Campaign Optimization to Convergent TV

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EDO Launches Ad EnGage Optimize — Autonomous, AI-Powered Solution Bringing Outcomes-Driven Campaign Optimization to Convergent TV

New solution goes beyond campaign measurement to recommend performance optimizations at scale— new research shows up to 35%+ of CTV ad impressions can be reinvested in higher-performing inventory through smarter frequency capping alone

One NZ Sets New Telco Industry Benchmark with UiPath, Accelerating Enterprise Mobile Provisioning from Days to Minutes

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One NZ Sets New Telco Industry Benchmark with UiPath, Accelerating Enterprise Mobile Provisioning from Days to Minutes

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AI-powered orchestration enables one of ANZ’s leading telcos to dramatically reduce complexity and accelerate service delivery for enterprise customers

UiPath, a global leader in business orchestration and automation, announced that One NZ has set a new benchmark for enterprise service delivery across ANZ using UiPath Maestro™— a cloud-native orchestration platform unifying automation, AI agents, and human interaction into streamlined, end-to-end business processes—to cut mobile provisioning times from ten days to under ten minutes.

“As AI adoption grows, the leading companies won’t be those with the newest tech stacks—they’ll be the organizations that move fastest with the technology they already have,” said Ashley Boag, Chief Operating Officer, International Region, UiPath.

Implemented in just five weeks, the deployment proves that AI orchestration can transform legacy-heavy operations at scale without a costly infrastructure overhaul and signals a new standard for how telcos can deliver for enterprise customers.

One NZ set out to transform one of their most complex back-office workflows: enterprise mobile provisioning, built across multiple disconnected systems. Enterprise mobile provisioning spanned Salesforce, Oracle, and internal platforms, with fragmented handoffs and dependence on offshore intervention stretching order cycles to four or five days. Manual processes introduced delays, limiting visibility across the customer order journey, and creating compounding operational complexity that demanded a fundamentally different approach.

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Rather than replacing an existing infrastructure for this workflow, One NZ selected UiPath Maestro to create a modern orchestration layer connecting those disconnected systems. AI agents now coordinate tasks across systems while software robots execute processes within applications, enabling near real-time provisioning for enterprise customers and significantly reducing operational complexity. The solution also delivers real-time visibility and control across legacy environments, enabling faster issue resolution, sharper frontline training, and a process that scales with significantly less operational effort.

“One NZ is pursuing an ambitious goal to become the most AI-enabled telco on the planet by using AI and automation to improve customer experiences, increase operational agility, and empower employees,” said Summer Collins, Chief AI and Business Services Director, One NZ.

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“AI creates a connected intelligence layer across our business, enabling us to automate across our technology landscape and continuously improve how we serve our customers while maintaining the security, resilience, and scale our organization depends on. Our approach is AI-first, but human where it matters most. By embedding AI into the way we work, we can transform our organisation, increase efficiency, and unlock new opportunities, while giving our people more time to focus on the human moments that create the greatest value for our customers and communities,” Collins added.

“One NZ clearly demonstrates how complex enterprises are built on a combination of modern and legacy technology. UiPath Maestro is the orchestration layer that brings it all together, accelerating transformation without the complexity and pain of ripping out what is working for them or forcibly modernizing what is already there. One NZ’s focus on transformation reflects a broader shift across the telecommunications sector and other sectors. As AI adoption grows, the leading companies won’t be those with the newest tech stacks—they’ll be the organizations that move fastest with the technology they already have. One NZ is demonstrating what that looks like in practice, orchestrating end-to-end processes to deliver AI-driven outcomes at enterprise scale while keeping people at the center,” said Ashley Boag, Chief Operating Officer, International Region, UiPath.

Building on this deployment, One NZ is extending UiPath Maestro into additional business-critical areas — including finance, risk, fraud, and complex IT programs, as well as broader customer and operational workflows.

The momentum reflects a wider shift taking hold across the telecommunications sector: providers are moving beyond automating individual tasks to orchestrating entire business processes end-to-end, and UiPath Maestro is emerging as the platform layer that makes that transformation both practical and repeatable.

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Morningstar Credit Analytics Launches AI Access to CRE Surveillance and CMBS Analytics

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Morningstar Credit Analytics Launches AI Access to CRE Surveillance and CMBS Analytics

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New integration enables licensed users to query live deal-level credit intelligence within Anthropic’s Claude using natural language

Morningstar Credit Analytics (MCA), a wholly-owned subsidiary of Morningstar, Inc. announced a new AI integration designed to enable licensed users to access Morningstar Credit Analytics’ commercial real estate (CRE) and commercial mortgage-backed securities (CMBS) data directly within Anthropic’s Claude. By integrating via Model Context Protocol (MCP), analysts can query live loan- and deal-level data using natural language questions within their AI workflows.

As AI interfaces become a primary entry point for financial research, governed access to structured institutional data is becoming critical for professional market participants. Morningstar Credit Analytics’ integration aims to bring institutional credit intelligence into AI-enabled research workflows while preserving the data governance and entitlement controls already in place.

“Credit analysis has always depended on trusted data and analytical rigor. What’s changing is the speed and accessibility of that analysis,” said Brian Grow, president of Morningstar Credit Analytics. “By connecting our CRE and CMBS intelligence to AI tools like Claude, we can bring institutional credit intelligence directly into workflows. This is not a chatbot layered onto financial services. It’s about delivering credit insights while maintaining transparency, governance, and control.”

CRE Analytics, Now in Your AI Workflow

CRE Analytics is designed to give credit professionals direct access to CMBS loan performance, pool composition, and monthly surveillance data across conduit, SASB, CRE CLO, and agency structures. MCP integration brings that data directly into Claude, allowing licensed users to ask natural language questions without leaving their AI workflows.

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The MCP-based architecture delivers Morningstar Credit Analytics’ proprietary data within existing entitlement and access controls. Users can interact directly with the data they are licensed to access. This is designed to enable organizations to extend governed access to institutional credit intelligence into AI workflows without compromising oversight or control.

CRE Surveillance and Analytics Use Cases

Licensed users can support credit risk analysis workflows directly within Claude to:

  • Query delinquency status, watchlist activity, and special servicing flags
  • Retrieve CMBS deal and tranche-level analytics without leaving your AI workflow
  • Conduct loan-level surveillance across conduit, SASB, CRE CLO, and agency deals

Connecting compatible AI applications to the Morningstar Credit Analytics MCP connector requires no custom engineering effort. Licensed users can connect their Claude instance to the Morningstar Credit Analytics MCP server and can begin querying immediately. Because MCP is an open standard, clients can benefit from easier future interoperability as AI platforms and workflows continue to evolve.

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Part of Morningstar’s Broader AI-Forward Strategy

This launch reflects Morningstar’s broader strategy to be the intelligence layer for investing—the grounding source investors need for analyst-backed comprehensive ratings and insights. Morningstar seeks to enable governed access to trusted financial data across research, analytics, and credit workflows. Morningstar and PitchBook have previously introduced MCP integrations across leading AI providers including OpenAI, Anthropic, Perplexity, and Microsoft.

See Morningstar Credit Analytics AI Demo at CREFC 2026

Morningstar Credit Analytics will demonstrate the Claude integration at the Commercial Real Estate Finance Council (CREFC) Annual Conference in New York, June 8–10, 2026. Attendees can schedule a live demonstration with a Morningstar Credit Analytics representative.

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Pipedrive to be included in OpenAI’s Codex Sales Plugin launch, bringing CRM context into AI-powered sales workflows

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Pipedrive to be included in OpenAI’s Codex Sales Plugin launch, bringing CRM context into AI-powered sales workflows

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Pipedrive, the easy and intelligent CRM for small and medium-sized businesses, announced it would be included in the launch of OpenAI’s dedicated sales plugin for Codex, enabling Pipedrive customers to connect their CRM data to AI-powered sales workflows.

Pipedrive is included in the launch of OpenAI’s dedicated sales plugin for Codex, enabling Pipedrive customers to connect their CRM data to AI-powered sales workflows.

OpenAI is introducing new role-specific plugins in Codex that help teams bring more of their work into Codex, including Sales. These plugins connect Codex with apps teams already use, so people can bring trusted business context into workflows like analysis, creative review, prototyping, meeting prep, reporting and more.

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As AI becomes increasingly embedded in everyday business workflows, sales teams are looking for ways to spend less time searching for information and more time building customer relationships. By connecting Pipedrive data with OpenAI Codex, users can bring relevant CRM context into their workflow, helping them move faster and make more informed decisions.

“Sales teams generate and manage enormous amounts of information every day, but data only creates value when it can be easily accessed and acted upon,” said Kristjan Elias, Sr Director of Engineering at Pipedrive. “The next evolution of sales software isn’t simply about adding more AI. Rather, it’s about making knowledge more accessible in the moments when people need it most. By bringing Pipedrive into OpenAI’s sales-focused Codex experience, we’re helping customers connect CRM data, customer context and AI-powered workflows in a way that supports better preparation, smarter prioritization and more effective selling.”

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

The launch reflects a broader shift toward AI-assisted work, where professionals increasingly rely on intelligent tools to help analyze information, identify opportunities and streamline routine tasks. For sales organizations, this means less time spent gathering context and more time focused on customer conversations and revenue-generating activities. Read more about the new plugin on OpenAI’s website or GitHub.

Pipedrive continues to invest in practical AI capabilities that help sales teams work more efficiently, from prospecting and lead management to reporting and sales insights to make AI useful, intuitive and accessible for growing businesses. The company is also expanding how its data and workflows can be accessed across emerging AI ecosystems, making it easier for customers to work with their sales information wherever they are.

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