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The Evolution Of TV Advertising: Turning Tolerance Into Engagement

By
Chris Kleinschmidt
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The Evolution Of TV Advertising: Turning Tolerance Into Engagement

It wasn’t that long ago when TV ads were simply background noise, or the signal to pick up the remote and flick to another channel. But attitudes are shifting. Recent research from TiVo shows that 74% of UK adults now consider themselves tolerant of TV advertising, with 55% willing to watch ads in exchange for free content.

This change in sentiment comes at a time when consumers are feeling the squeeze. With subscription streaming services multiplying and monthly living costs rising, ad-supported options have emerged as practical and appealing. In fact, 42% of UK adults now say they prefer an ad-supported tier when using subscription video-on-demand (SVOD) platforms.

But it’s not just about economics. Advertising itself is evolving. Today’s TV ads are becoming smarter, more personalised, and better timed. They’re less of a blunt instrument and more of a curated experience. Thanks to advances in connected TV (CTV) technology and a deep pool of user data, brands can now deliver hyper tailored ads, and not just within programmes but across the entire TV interface, including the home screen. This opens up multiple TV platform monetisation opportunities, with the possibility of generating revenue from ads displayed throughout the browsing and viewing experience.

That said, challenges remain. While advertising technology has progressed, many viewers still report poor ad experiences, especially when it comes to repetition and irrelevance. This inconsistency is holding the industry back and risks alienating audiences just as they’re beginning to warm to ad-supported formats. Poor execution can undo all that progress.

When bad ads backfire

In the same TiVo survey, 58% of viewers using AVOD or FAST platforms said that repeated ads during a single session negatively impacted their experience.

Overloaded ad breaks and irrelevant targeting further frustrate viewers, increasing the risk they’ll switch content platforms altogether. This leads to a seriously missed opportunity to reach a captive audience, not just for content providers but for advertisers seeking meaningful engagement.

The good news? These are fixable problems. AI-driven personalisation can help ensure that the right message reaches the right viewer at the right time. Smarter ad frequency management tools can reduce repetition, while newer, interactive formats – like QR codes or gamified content – offer a way to turn passive viewing into active engagement. And audiences are receptive. The number of UK viewers who find interactive ads engaging rose from 23% in 2023 to 30% in 2024, showing that expectations for what ads can deliver are changing and rising, and this should be acted upon.

Marketing Technology News: Martech Interview with Aquibur Rahman, CEO of Mailmodo

The ad-supported sweet spot

Striking a balance between monetisation and user experience is key. Viewers may be more open to advertising, but they still expect relevance and respect for their time. For TV platforms, that means creating environments where ads feel integrated in the viewing experience and not invasive.

Putting consumers first will be essential for long-term success. Transparency, controlled ad loads, and strong alignment between content and advertising are no longer nice-to-haves.

Advertisers, too, must consider where their messages are being shown. The operating system (OS) powering a CTV is an important consideration because the ad experience varies widely across the different options. Where ads will appear across the CTV OS ecosystem and being able to measure the effectiveness of that ad spend is crucial.

As many consumers are running a secondary device on their CTV such as a gaming console, this puts a strong onus on the first OS serving an ad to add value and prove to advertisers that they will be able to gain a valuable impression. If the CTV OS provider isn’t able to do this, it can result in wasted impressions, which the advertiser would have no way of being able to track or account for.

Independent CTV OS offer something that’s often missing in big tech ecosystems: neutrality. These platforms prioritise viewer experience, helping brands foster trust and loyalty. This more controlled, viewer-first environment helps deliver relevant, well-timed ads, reducing common frustrations and supporting deeper, longer-lasting brand engagement.

Such CTV OS providers also make it easier for advertisers to provide them with creative assets for homepage ads and CTV video ads that will work across every TV in their ecosystem, rather than a lot of confusing creative asset requirements and specifications.

What’s next?

The future of TV advertising is heading towards even greater personalisation and interactivity. AI-enhanced targeting will continue to refine how messages are delivered, ensuring greater relevance. Meanwhile, the growth of gamified and interactive formats will transform ads from background clutter into moments that capture attention, and even drive action.

Already, 43% of AVOD and FAST users say that relevant, tailored ads improve their perception of a brand. And while we’re not yet at the point where every ad can be tied directly to a purchase, we’re getting closer. As streaming TV continues to evolve toward a greater level of reliance on ad spending, advertisers rightly are going to demand having a higher degree of visibility into where exactly their spend is going. New measurement tools are emerging that can help brands connect the dots between exposure and conversion.

The next era of TV advertising is about reaching audiences at high attention moments and then keeping it.

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Archive Intel Adds Microsoft Dynamics 365 as Integration Partner, Enabling Automatic Contact Whitelisting for MS Ecosystem Users

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Business Wire
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Archive Intel Adds Microsoft Dynamics 365 as Integration Partner, Enabling Automatic Contact Whitelisting for MS Ecosystem Users

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Integration deepens Archive Intel’s capabilities as the premier automated compliance system of record, supporting scalable mobile communications archiving and AI-driven review

Archive Intel, an AI-powered communications compliance platform for financial institutions, announced its new integration with Microsoft Dynamics 365, enabling users to automatically import and sync business contacts directly from the Microsoft ecosystem for compliant text-message archiving. By eliminating manual whitelisting at the individual user level, the update enhances efficiency for Microsoft Dynamics customers and reinforces Archive Intel’s position as a centralized, enterprise-grade compliance system of record for growing advisory firms.

Microsoft Dynamics 365 is a cloud-based suite of AI-driven business applications that unifies enterprise resource planning (ERP), customer relationship management (CRM) and business intelligence (BI). Connecting Archive Intel to Dynamics 365 gives firms a streamlined, automated contact-management workflow, enabling organization-wide whitelisting for text-archiving across iMessage and Android devices. With continuous syncing, firms maintain accurate, up-to-date records as client information evolves, while reducing risk from oversight gaps common with manual processes.

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“For regulated firms, consistency and accuracy across communication records are essential, yet manual whitelisting creates unnecessary risk and operational drag,” said Larry Shumbres, founder and CEO of Archive Intel. “This integration solves that challenge at scale. By automating contact sync from Microsoft Dynamics, we give firms a simple, reliable and efficient way to ensure compliant text archiving across every advisor and employee.”

The integration supports Archive Intel’s broader growth strategy to unify compliance operations across the systems advisors already use. By pulling contact data directly from a firm’s CRM or data lake, Archive Intel’s AI-driven archiving, monitoring and review tools can operate with greater precision and significantly less manual intervention. This reduces operational burden for firms and enables Archive Intel to continue expanding platform intelligence and automation capabilities.

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“The quality of a firm’s data directly impacts the speed and accuracy of communications archival, while protecting the privacy of employees by not archiving personal messages,” said Laura Kimble, CPO and head of AI at Archive Intel. “Cleaner, centralized contact information allows our system to reduce false positives, accelerate review cycles and deliver a stronger, more scalable compliance foundation for every client we serve.”

Administrators with Power Platform Administrator, Dynamics 365 Administrator, or Global Administrator roles can activate the integration through a secure OAuth 2.0 connection within their Archive Intel account. Firms may set custom syncing schedules — daily, weekly or at another cadence — to maintain continuous alignment as client records change. All imported contacts populate the Organization Contacts tab, making them available platform-wide.

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Innovid’s Feature Beat: New Social Power Tools for Marketers

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Business Wire
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PayPal Brings New Commerce-Grade Identity Solution to Advertising Industry

Social Ads Manager Enhancements Simplify Workflow, Strengthen Optimization, & Consolidate Cross-Platform Campaigns

Welcome to Innovid’s Feature Beat—your regular look at the latest product enhancements designed to make advertising smarter, faster, and more impactful across every screen. In our last edition, we focused on AI-powered tools to streamline workflows and fuel performance. This month, we’re spotlighting new social media enhancements that help marketers get to insight faster, reduce manual effort, and manage paid social activity with greater accuracy, control, and visibility across Facebook, Instagram, LinkedIn, Pinterest, Reddit, Snap, and TikTok.

From streamlined production workflows to new integrations and expanded publisher support, Innovid’s new features are built to unify cross-publisher activation and help teams stay ahead of the ever-evolving social landscape.

From streamlined production workflows to new integrations and expanded publisher support, these features are built to unify cross-publisher activation and help teams stay ahead of the ever-evolving social landscape:

Marketing Technology News: Martech Interview with Aquibur Rahman, CEO of Mailmodo

  • New Platform Support—Reddit Now Live on Social Ads Manager: Innovid now supports full Reddit ads management, enabling creative trafficking, campaign setup, delivery, and measurement alongside other social channels. This initial release brings Reddit into the same consolidated workflow social teams rely on, reducing platform switching while improving transparency and cross-publisher control.
  • Actionable Optimization Signals—Now Supporting Meta’s Opportunity Score: Innovid’s Social Ads Manager now surfaces Meta’s Opportunity Score, giving teams a clearer, more strategic view of where optimizations can make the biggest impact. Marketers can now review recommendations through an enterprise lens, understand which auto-optimizations align with their unique strategies, and apply changes directly within Innovid alongside other campaign workflows. It’s a smarter, more integrated way to drive performance across Meta without adding new steps or complexity.
  • Scale Click Tracking Effortlessly—Google CM360 Integration: Measuring ad efficacy is a challenge, especially across large campaigns. Innovid’s new Google CM360 integration enables teams to generate and apply both click and impression trackers in bulk within our Social Ads Manager. Marketers can also customize how trackers are built for CM360 campaigns, placements, and ad hierarchies across Meta, Pinterest, Snap, and TikTok, with more publisher support to follow.

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  • Clarity at a Glance—Cross-Publisher Performance Dashboard: Keeping pace with social performance shouldn’t require digging through dozens of tabs. This new dashboard view brings spend and performance into a single, visual summary across every publisher. Marketers get instant clarity on what’s working, what needs work, and where to reallocate for maximum impact (all in one view!).
  • Faster Creative Access—Digital Asset Manager Integrations: Social teams can instantly upload hundreds of URL links to finalized assets directly via new Digital Asset Manager (DAM) integrations. What used to be a painstaking, click-by-click trafficking process is now instant. With DAM integrations, teams can bulk-upload finalized asset URLs at once, eliminating repetitive setup and preserving existing workflows across every publisher.

“Innovid has become a catalyst for our transformation, giving us a unified platform that streamlines workflow, centralizes reporting, and accelerates how we operate,” said Luisa Piedrahita, Group Director at Mindshare | Paid Social and Investment Team Lead, Unilever.

“Social teams are under pressure to launch faster, optimize smarter, and prove impact across every publisher. This feature set is designed to remove friction, automate complexity, and give marketers the clarity and control they need to scale what’s working,” said Megan Gall, Vice President, Strategy at Innovid.

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Akii Launches AI Engage to Train AI Search Engines on Brand Content

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MTS Staff Writer
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Cloudfly Media Launches GWSave to Help Global Businesses and Startups Optimize Google Workspace Costs

Akii Reviews | Read Customer Service Reviews of akii.com

AI Engage enables brands to systematically educate Google AI Search, ChatGPT, Perplexity, and Copilot through automated, geo targeted campaigns.

Akii announced the launch of AI Engage, an AI Search engagement platform designed to help brands systematically educate AI search engines about their content, offerings, and positioning at scale.

As AI powered search experiences increasingly replace traditional search results, brand discovery is no longer driven solely by keyword rankings. Platforms such as Google AI Search, ChatGPT Search, Perplexity, and Microsoft Copilot now determine which brands are analyzed, cited, and recommended directly in AI generated answers.

AI Engage introduces a new approach to this shift. Rather than optimizing for search algorithms, the platform runs automated engagement campaigns that prompt AI search engines to fetch, analyze, and learn from a brand’s real web content through realistic user style queries.

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The platform executes campaigns across four major AI search engines simultaneously, deploying queries from more than 150 million geo targeted residential IP addresses. Campaigns run in six supported languages and are automatically aligned with a brand’s country and language to create authentic, location appropriate engagement signals.

Campaigns run over 30 to 90 days with evenly distributed execution designed to mirror natural user behavior. This systematic approach to AI SEO helps AI models build a more accurate and consistent understanding of a brand and when it should be recommended.

“AI search engines do not automatically understand brands,” said Josef Holm, Founder and CEO of Akii. “They learn through repeated exposure to real queries over time. AI Engage allows brands to stop relying on chance discovery and instead actively educate AI systems in a scalable, measurable way.”

AI Engage includes detailed execution analytics, allowing brands to track campaign progress, success rates, and engagement completion across engines, languages, and markets. Campaign tiers range from 150 to 5,000 engagements, enabling companies to scale their AI search education efforts based on their goals.

The platform is available immediately and includes 100 free AI credits with no credit card required, allowing brands to launch their first AI engagement campaign within minutes.

AI Engage is part of Akii’s AI Visibility Optimization Platform, which helps brands understand, improve, and influence how AI models interpret and represent them across the rapidly evolving AI search landscape.

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adMarketplace Strengthens Executive Leadership Team to Build the Next Generation of Search Advertising

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PRNewswire
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0
adMarketplace Strengthens Executive Leadership Team to Build the Next Generation of Search Advertising

Industry veterans join as Global Chief Business Officer and Chief Product Officer to accelerate AI innovation for native search advertising

adMarketplace, the leader in native search advertising, announced the appointment of John Nitti as Global Chief Business Officer and Sam Cox as Chief Product Officer. Nitti, a widely recognized industry veteran, will spearhead commercial strategy and business growth, while Cox will advance platform innovation to take adMarketplace into the next generation of native search advertising.

The search advertising industry is undergoing rapid transformation, driven by advances in AI, changing consumer behaviors, and the growing importance of native placements outside legacy search engines. As advertisers seek more efficient and incremental results, adMarketplace is doubling down on innovation and leadership, investing in top talent and technology to shape the future of native search. The addition of Nitti and Cox to the executive team underscores adMarketplace’s commitment to delivering measurable value for advertisers and publishers.

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“This is a strategic investment in the future of adMarketplace and the native search advertising market,” said Jamie Hill, Chairman and Co-CEO, adMarketplace. “John’s deep industry relationships and commercial expertise, combined with Sam’s visionary product leadership, position us to accelerate innovation and deliver even greater results for our partners. We are investing in the talent and technology needed to lead the next wave of growth in search advertising.”

Nitti brings 25+ years of industry experience, most recently serving as the Global Head of Revenue Operations and Advertising Innovation at X and previously holding roles with Verizon, Publicis Groupe, and American Express. In the new role of Global Chief Business Officer, Nitti will focus on expanding strategic partnerships, accelerating revenue growth, and driving commercial excellence across the organization.

“Search advertising sits at a critical juncture as AI and changing consumer behaviors redefine how brands and partners connect with audiences,” said John Nitti, Global Chief Business Officer, adMarketplace. “adMarketplace is uniquely positioned to accelerate this transformation, with the scale, technology, and vision to deliver real outcomes for advertiser and publisher partners. Joining this leadership team is an opportunity to help shape the future of search and drive meaningful growth for advertisers across the globe.”

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Cox, who previously directed product management for programmatic DSP at Amazon and led Google’s Ad Exchange (AdX), will bring critical expertise in navigating the digital advertising landscape as it shifts with AI. At adMarketplace, he will drive AI-powered innovation, enhance performance efficiency, and optimize media investment strategies across the company’s native search solutions.

“With AI becoming central to campaign performance, we have a unique opportunity to innovate how advertisers and publishers connect with consumers throughout their digital journeys,” said Sam Cox, Chief Product Officer, adMarketplace. “I am excited to join adMarketplace at such a transformative moment for the search advertising industry and look forward to working with the talented team to shape the future of native search advertising.”

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Thrillax launches visibility focused SEO framework for the AI age

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MTS Staff Writer
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0
Revved Digital, an AI SEO Agency, Publishes Definitive Guide to Ranking Factors for AI Search in 2026

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Thrillax, a digital marketing and SEO company, announced the launch of a new visibility focused SEO framework designed to help founders and businesses better understand search performance beyond website traffic.

The new framework addresses changes in how people discover information online. With the rise of zero click search results, AI generated answers, and discovery across platforms such as Google, Instagram, YouTube, and AI tools, users often find what they need without visiting a website.

Industry data shows that more than half of Google searches now end without a click. As search experiences continue to evolve, traditional SEO metrics based only on traffic and rankings may not fully reflect how often a brand is being discovered.

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The visibility focused framework introduced by Thrillax places greater emphasis on intent based content, clear answers, and consistent presence across multiple platforms. It combines Answer Engine Optimization, Search Everywhere Optimization, and what the company describes as Vibe SEO to support clarity and relevance in modern search environments.

“Many founders rely only on traffic to judge SEO performance,” said Krunal Soni, founder of Thrillax. “But search behavior has changed. By 2026, brands will need to measure visibility, clarity, and trust across search engines, social platforms, and AI tools. This framework helps founders adapt to that shift.”

Thrillax has begun implementing this framework across all client projects, with the goal of helping small and medium sized businesses stay visible as search behavior continues to change.

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Pendo’s Agent Analytics is Now GA, Helping Companies See and Optimize How Users Interact With Agents

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PRNewswire
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Pendo's Agent Analytics is Now GA, Helping Companies See and Optimize How Users Interact With Agents

Pendo, the world’s first software experience management platform, announced the general availability of Agent Analytics, expanding access to the only solution in the market for measuring the performance, usage, and business impact of AI agents across the enterprise. Pendo has made Agent Analytics free to get started, empowering every customer to build and deploy successful agents.

During its early access period, Agent Analytics helped dozens of organizations understand how users interact with their AI agents, measure the quality of agent outputs, and identify where agent behavior supports or hinders user productivity. One early adopter, Pushpay, leveraged Agent Analytics during the beta of its new conversational agent, uncovering prompt trends and user frustration signals that informed improvements to the experience prior to launch.

“Companies are launching agents faster than ever, but they’re relying on a simple thumbs-up or thumbs-down to gauge their success which is insufficient,” said Todd Olson, CEO and co-founder of Pendo. “Agent Analytics fills that gap, giving teams a reliable way to monitor usage, detect friction, and improve the user experience, ensuring their investment in AI delivers meaningful business value.”

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Customer proof: Pushpay’s story

Pushpay, the leading payments and engagement solutions provider for more than 14,000 mission-driven organizations globally, deployed Pendo Agent Analytics to monitor a new AI search agent where church leaders can instantly query their membership and donation data using natural language.

“We started noticing users were prompting only three or four times, then quitting. Agent Analytics made that pattern obvious, so we could pinpoint and target exactly where users were getting stuck. Now we can get them past that drop-off point and into real value,” said Paul Frank, staff product manager at Pushpay.

“Every day we’re learning something new with AI. Agent Analytics helps us understand what our customers want to know—which has informed how we prioritize prompt inferences, fine-tuning, filter enhancements, and experience redesigns based on real usage, not assumptions.”

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What Agent Analytics delivers

Agent Analytics shows how agents perform once they’re in real use – how people interact with them, where they help, and where they fall short. While eval tools support pre-launch testing, Agent Analytics reveals what happens in real workflows. With Pendo’s enterprise-grade monitoring and governance controls, teams can improve and optimize their agents and understand the value their AI investments deliver.

Core functionality includes:

  • Tracking hybrid workflows across both agents and traditional software to show how users move between tools and where agents fit in.
  • Surfacing patterns in what people do before, during, and after interacting with an agent, and seeing it firsthand through visual replays.
  • Analyzing conversations to identify prompt themes and emerging use cases, so teams know where to optimize the agent. Then track whether those updates lead to better results.
  • Surfacing “rage prompts” to alert teams to issues that cause frustration or impact trust or performance.
  • Flagging “off-script” behavior, hallucinations, or inabilities to respond so teams can quickly take action to fix any issues.
  • Embedding guidance and surveys inside the agent interface to help users find success and capture their feedback.
  • Mapping agent activity to task completion and overall platform engagement to assess ROI and performance.

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TeamViewer Achieves FedRAMP Compliance for Its DEX platform

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PRNewswire
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TeamViewer Achieves FedRAMP Compliance for Its DEX platform

TeamViewer, a global leader in digital workplace solutions, announced that its live production system has achieved FedRAMP compliance and is now officially listed on the FedRAMP Marketplace under their partner Project Hosts’ listing. With the completion of the environment build out and rigorous vetting of the application, TeamViewer can now offer its industry leading Digital Employee Experience (DEX) solution to US federal agencies as it moves through the FedRAMP authorization process.

Mei Dent, Chief Product & Technology Officer at TeamViewer, said: “This achievement underscores our dedication to meeting the US government’s stringent cybersecurity standards and enabling secure digital transformation across the public sector. We’re proud of our collaborative efforts that made this possible. We thank our partner Project Hosts for their assistance in implementing all required FedRAMP controls for our DEX platform.”

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“Achieving FedRAMP compliance is a testament to TeamViewer’s commitment to security and excellence,” stated Josh Krueger, Chief Information Security Officer at Project Hosts. “We are thrilled to have supported them in reaching this critical milestone and look forward to their continued success.”

This milestone positions TeamViewer to pursue full FedRAMP authorization, reinforcing its commitment to secure, compliant endpoint management for federal customers.

By using TeamViewer’s DEX platform, federal IT teams can enhance end-user experience, strengthen security and compliance, reduce costs, and transform IT operations from a cost center into a strategic asset.

TeamViewer remains committed to transparency, reliability, and operational excellence as it moves into the next stages of the FedRAMP journey. The company looks forward to supporting federal agencies with secure, modern digital employee experience solutions and will provide further updates as it advances toward full authorization.

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Kharon and Digital Science Launch Integration to Strengthen Research Security

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PRNewswire
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Kharon and Digital Science Launch Integration to Strengthen Research Security

Integrating Kharon’s data and insights with Dimensions Research Security platform to empower institutions to proactively identify foreign affiliations of concern, export control, and compliance risks.

Kharon, the premier compliance technology and data provider spanning sanctions, export controls, and other economic restrictions, and Digital Science, a leading technology company serving stakeholders across the research ecosystem, announce they have entered into a strategic partnership.

The collaboration brings together Kharon’s risk intelligence and Digital Science’s world-leading Dimensions Research Security platform to help universities, funders, and government agencies identify and mitigate foreign influence, export control, and compliance risks, all while preserving the openness that drives global collaboration.

This joint solution enables institutions to:

  • Reveal hidden risk pathways by mapping affiliations and connections that indicate potential exposure to high-risk or state-linked entities.
  • Automate and streamline workflows using Dimensions’ dashboard architecture, embedding Kharon’s insights directly into existing research management frameworks.
  • Scale research security operations through integrated, API-driven analysis that supports large-scale due diligence and continuous monitoring.
  • Enhance audit readiness and compliance alignment by maintaining defensible records aligned with evolving research security mandates worldwide.

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Safeguarding Research in a Complex Global Landscape

Institutions today face growing pressure to balance academic innovation with the need to protect sensitive research from undue influence and emerging geopolitical risks. Across jurisdictions like the U.S., U.K., Canada, and Australia, new policies, including National Security Presidential Memorandum – 33 (NSPM-33), the Trusted Research Guidance, and Canada’s Policy on Sensitive Technology and Affiliations of Concern, are reshaping expectations for transparency, due diligence, and responsible collaboration.

Kharon’s unmatched capabilities are designed to meet rapidly evolving compliance and regulatory expectations, enabling research security officers (RSOs) and export control officers (ECOs) to quickly identify hidden affiliates of concern and ties to restricted parties in China and other jurisdictions of increased risk. Kharon’s leading offering combines advanced data analytics and artificial intelligence with subject matter expert validation and full sourcing transparency, empowering RSOs and ECOs to make defensible recommendations based on Kharon’s insights drawn from publicly available and reliable sources.

By pairing Kharon’s industry-leading intelligence with Dimensions’ world-class database of linked research information, spanning 159 million publications, 7.9 million grants, 170 million patents, 42 million datasets, nearly one million clinical trials, and over 70 percent of publications available in full text, users benefit from unmatched visibility into the relationships, outputs, and affiliations that may pose risks within institutional research portfolios.

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According to Kharon’s Vice President of Partnerships, Paul Gerbino: “Our partnership with Digital Science underscores our shared commitment to helping academic institutions navigate an increasingly complex landscape. We understand that research thrives on collaboration built on trust, and we’re proud that together we’re equipping institutions with the information they need to uphold that trust with greater ease. This marks an important step in expanding our impact across the sector.”

Digital Science’s Executive Vice President of Academic, Jonathan Breeze, said: “Now more than ever, we recognize that research integrity and security are critical issues for researchers, their institutions, governments, and industry alike.

“At Digital Science, we’re pleased to play an important role in helping to safeguard research security, and in helping institutions with their government compliance. Thanks to our partnership with Kharon and our complementary strengths, we are excited to enhance our offerings even further.”

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Kyndryl Named Leader in 2025 ISG Provider Lens Global Insurance Services Report for Agentic AI and Generative AI

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PRNewswire
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Kyndryl Named Leader in 2025 ISG Provider Lens Global Insurance Services Report for Agentic AI and Generative AI

Kyndryl, a leading provider of mission-critical enterprise technology services, announced it has been named a Leader in agentic AI and generative AI in the 2025 ISG Provider Lens global Insurance Services – Strategic Capabilities report.

Leading insurers are rapidly adopting generative AI and agentic AI to transform core operations, powering faster decision-making, more accurate pricing and enhanced customer experiences. The ISG report assessed 28 providers across two key areas: GenAI Development and Deployment Services and Agentic AI Development and Deployment Services. Kyndryl was recognized as a Leader in both categories, underscoring its ability to deliver adaptive, people-centric AI solutions at scale.

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“Kyndryl is enabling insurance industry customers to transform their operations with enterprise-grade GenAI and agentic AI solutions that enhance operational efficiency and customer engagement,” said Ashish Jhajharia, Lead Analyst, ISG. “By integrating advanced AI with legacy systems, they empower insurers to navigate challenges, driving resilience and fostering rapid innovation in a dynamic marketplace.”

“We are honored to be recognized in ISG’s global Insurance Services report because this acknowledgment reflects the trust that insurers are placing in Kyndryl to accelerate from AI pilots to enterprise-wide scaled execution,” said Ralitsa Nenkova, Global Insurance Leader, Kyndryl Consult. “With our mission-critical systems experience, responsible approach to AI and insurance domain expertise, we are helping insurers to adopt mission-critical AI to modernize both their infrastructure and business operations to deliver measurable improvements in customer experience and drive competitive advantage.”

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Kyndryl’s Agentic AI Framework, which combines the Company’s mission-critical systems engineering experience and expertise, unique capabilities and distinct Kyndryl Consult methodology, is driving customer AI adoption and advancing their goal of becoming an AI-native enterprise. Kyndryl is furthering Agentic AI Framework adoption in the insurance industry by working with customers on a variety of projects, including an agentic AI-enabled actuarial solution that creates and embeds AI agents to deliver an end-to-end intelligent, automated workflow. The agents dynamically generate regulatory filings, support proactive regulatory compliance checks and deliver insights to drive real-time analysis and decision-making.

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As AI Accelerates How Fast Code Ships, Netlify Delivers the Production Tools Built for This AI Era

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As AI Accelerates How Fast Code Ships, Netlify Delivers the Production Tools Built for This AI Era

New platform capabilities include Observability, AI Gateway, and Prerendering

AI is changing how fast developers can create new applications, but production workflows haven’t kept up. Logs don’t reveal enough. Model integrations add overhead. And once AI is involved, it becomes harder to predict how an application will behave in production. Netlify is closing that gap by supporting more of the workflow that AI has accelerated, moving beyond creation and bringing clarity and control to what happens after deploy. Observability, AI Gateway, and Prerender extensions are now generally available to make it easier to understand how applications behave after deployment and reduce the operational work required to run them. They help developers ship with more confidence and less guesswork. Together, they mark the next step in Netlify’s AI-native platform, bringing more of the development process onto one system so developers stay in flow from code to production.

Netlify offers Observability, AI Gateway, and Prerender extensions so developers stay in flow from code to production.

“We continue to be impressed by the simplicity Netlify offers us, which has resulted in meaningful time and resource savings,” said Mark Hall, Senior Director of Digital Technology at Mattel. “With Observability, that simplicity extends further by giving us instant visibility into how our applications run in production, helping teams identify issues faster and stay focused on delivering reliable, high-quality experiences.”

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In October, Netlify introduced Agent Runners to help developers apply code updates through natural language instructions. That release built on earlier work with Why Did It Fail, which explains build failures in plain terms. Those efforts focused on creation and build. The new features extend that momentum into deploy and run, strengthening Netlify’s Agent Experience (AX) vision: a workflow where developers and AI agents work in the same environment and move through the same steps. With more of the workflow in one place, developers can move from writing code to running applications without losing context. Netlify is leading the shift towards AI-supported development that spans the entire development workflow, not just the start of it.

“We’re seeing developers move faster with AI when they write code, but deploy and run haven’t kept up. We’re changing that,” said Matt Biilmann, CEO and Co-founder of Netlify. “When the work of writing code, understanding builds, and running applications lives on the same platform, developers don’t have to stitch their workflow across different tools. It’s a cleaner experience, and it’s the direction modern development is moving.”

Observability Observability gives developers immediate insight into how an application behaves after each deploy. It surfaces request and function activity so it’s easier to spot changes in latency, error patterns, or usage tied to recent updates. Developers can see what changed and why directly in the Netlify dashboard without maintaining a separate monitoring system. For enterprise teams, Observability provides the visibility needed to run AI-powered applications as dependable production workloads. Learn more about Netlify Observability. This becomes even more important as teams begin relying on agents to generate and modify more of their code.

“Our guests expect a flawless experience from the first click, and that means we need visibility into exactly how our site is performing. Netlify helps give us that confidence, and I’m incredibly excited for the future of Observability,” said Josh Strachan, GM Business Solutions, AP Touring.

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

AI Gateway AI Gateway lets any agent or developer add AI features to applications that work from the first prompt, without creating or managing accounts, credentials, or environment variables. Like other Netlify primitives, it’s ready to use the moment you deploy. AI Gateway securely centralizes credentials, simplifies billing, and tracks usage across providers including Anthropic, OpenAI, and Google Gemini, making it easier to manage and scale AI features in production. Teams can experiment with different models faster and get clearer visibility into AI usage across their applications. Learn more about AI Gateway.

Prerendering Modern frameworks often lean on client-side rendering for simplicity, but crawlers and AI agents miss key content because they can’t execute the full experience. Netlify’s Prerender extensions fix this automatically by serving a fully rendered HTML version to crawlers while preserving the dynamic experience for users. Search engines and AI agents get a complete view of each page, and developers avoid maintaining separate rendering paths.

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Optimizely Unveils New Research on AI-Powered Content Ecosystems

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Optimizely Unveils New Research on AI-Powered Content Ecosystems

New report identifies 15,000+ tools in today’s marketing ecosystem and highlights the rise of “agentic content systems” built to scale personalization

Optimizely, the leading digital experience platform, released new research revealing that modern marketing stacks have reached an unprecedented level of complexity, with more than 15,000 tools now available in the martech landscape. The company’s latest report, “Composable by Design: Building an Agentic Content Ecosystem,” outlines how organizations can bring order to sprawling systems by embracing a composable, AI-powered approach to content and digital experience creation. This research builds on Optimizely’s commitment to helping marketing teams navigate the evolving digital landscape.

The average enterprise marketing stack now resembles a “solar system,” with a handful of core platforms at the center and hundreds of specialized systems and tactical tools orbiting around them. Yet despite major advances in data platforms and analytics, the content layer remains the biggest bottleneck for organizations seeking to scale personalization.

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

“AI is speeding up the entire content lifecycle, but it’s also revealing where stacks have lost their gravitational center,” said Tara Corey, SVP of Marketing at Optimizely. “Composable design restores that pull — aligning creativity, intelligence, and delivery in a more intentional, scalable way. The result is a stack that finally works at the speed the business demands.”

Key findings from the report include:

  • 15,000+ tools now exist in the martech landscape, reflecting 10x growth over the last 14 years.
  • Expansion of “hypertails,” or company-specific applications, is accelerating as organizations increasingly supplement core platforms with dozens of small, single-purpose tools for niche use cases.
  • Marketers cite fragmented content workflows, siloed teams, and manual production processes as common struggles despite heavy investments in new technology.
  • AI is emerging as the connective tissue of modern stacks — but only when treated as a platform-level capability, not a bolt-on feature.
  • Composability is now about engineering outcomes with structure, governance, and accountability built in, not about implementing every new tool on the market.

The rise of agentic content ecosystems
The report highlights a shift toward agentic content ecosystems — systems in which AI takes an active role in producing, shaping, and optimizing content across the full lifecycle: creation, delivery, personalization, and analytics.

The report emphasizes that data alone no longer drives meaningful experiences. Instead, data + content + AI form the three essential pillars of modern personalization.

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

A path forward for enterprises
As martech stacks grow increasingly layered, marketers can harness this complexity to deliver personalized experiences customers expect. But to accomplish this goal, AI must be integrated across platforms throughout the organization, not siloed in individual tools. When fully embedded, AI can be the connective intelligence that accelerates workflows, connects data and content, and delivers relevant experiences.

“Composable technology shouldn’t mean chaos,” added Corey. “It’s about designing systems that work together instead of against each other. When AI ties those systems together, teams finally get the speed and clarity they’ve been missing.”

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Uberall Launches First Generative Engine Optimization (GEO) Studio in Collaboration with AthenaHQ to Help Multi-Location Brands Get Recommended by AI

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Uberall Launches First Generative Engine Optimization (GEO) Studio in Collaboration with AthenaHQ to Help Multi-Location Brands Get Recommended by AI

Uberall Logo

Uberall, the global leader in location marketing technology, unveiled the industry’s first Generative Engine Optimization (GEO) Studio, giving multi-location brands a way to stay visible — and recommended — in AI search.

Built in partnership with San Francisco-based AthenaHQ, the GEO Studio responds to the biggest visibility crisis brands have faced in a decade: AI systems increasingly decide which businesses appear, yet most brands are not “AI-ready.

around 68% of local businesses appear incorrectly in AI results due to missing, inconsistent, or outdated data. And as AI agents filter choices based on confidence signals, not keywords, traditional SEO and content tactics can no longer guarantee discovery.

Marketing Technology News: Martech Interview with Aquibur Rahman, CEO of Mailmodo

GEO Studio solves this problem by making every location AI-eligible.

This new solution from Uberall gives brands three capabilities previously out of reach:

1. Monitor AI Visibility

See exactly what AI systems say about your brand — accuracy, trust signals, and competitive benchmarks — at both brand and location level.

2. Create Local, AI-Readable Content

A generative content engine that produces locally relevant, structured content AI understands: FAQs, local pages, posts, review responses, snippets, and more.

3. Publish Everywhere AI Looks

Automated distribution across Google Business Profiles, local pages, social channels, blogs, and third-party directories.

“We’ve been piloting GEO Studio with a handful of clients, and their reaction has been incredibly energizing. For the first time, they can actually see what AI thinks of their brand and fix it. AI now determines which local businesses get discovered, and GEO Studio finally gives every location the clarity, trust signals, and context AI needs to recommend them. This is the moment AI visibility becomes actionable and scalable, and I’m genuinely excited about what it unlocks for our customers.” commented Ana Martinez, CTO at Uberall

Marketing Technology News: Beyond the Trend: How CMOs Are Using Cultural Intelligence to Lead Culture, Not Chase It

“Uberall’s unmatched location platform is the perfect partner for our enterprise-grade GenAI optimization technology. Together, we’re enabling brands to produce on-brand, AI-ready, locally relevant content at a scale that simply wasn’t possible before.” added Andrew Yan, Co-Founder, AthenaHQ

Early Access brands are already reporting significant lifts in AI-driven visibility.

“We’re excited to pilot this new solution. It finally gives us clear visibility into how our brand appears in AI-generated answers and how we compare to competitors. In seconds, we can analyze prompts, spot improvement opportunities, and generate brand-aligned content. It’s a simple, comprehensive tool that ensures our brand stays visible and accurately represented in AI responses.”— Dylan Paul, Digital Marketing Manager, Audika

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RagMetrics Unveils Live AI Evaluation Tool to Combat Hallucinations and Improve the Quality of AI Deployments

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Zendesk Report: Contextual Intelligence Becomes the New Standard 

RagMetrics.ai

RagMetrics Unveils Groundbreaking Live AI Evaluation Tool to Restore AI Trust

For years, generative AI (GenAI) has promised a revolution, but a lack of reliable validation has kept a significant portion of enterprises—over 45%—trapped in endless pilot programs. RagMetrics is ending that “pilot purgatory” with the launch of its Live AI Evaluation Tool, a platform designed to inject unprecedented transparency, reliability, and speed into the deployment of generative AI systems.

The new feature of the RagMetrics solution directly addresses the industry’s most significant hurdle: trust. With 65% of business leaders citing AI “hallucinations”—the generation of inaccurate or fabricated content—as a major barrier to adoption, RagMetrics delivers a scalable solution for confidence.

Marketing Technology News: Martech Interview with Aquibur Rahman, CEO of Mailmodo

The Live AI Evaluation Tool enables enterprises to instantly validate their GenAI outputs with Near Real-Time Evaluations, drastically accelerating the time from concept to production. The platform’s advanced Hallucination Detection automatically identifies inaccuracies, safeguarding the enterprise from reputational and operational risk.

Beyond speed, the tool provides depth of control. With Customizable Criteria leveraging over 200 preconfigured rubrics, development teams can align AI performance directly with specific business goals. For sophisticated deployments, Agentic Monitoring offers continuous tracing of AI agent behaviours, ensuring models never drift from their intended mandate. The platform ensures flexibility with Flexible Integrations, working seamlessly with all major LLM foundational models across cloud, SaaS, and on-premises environments.

“AI is moving faster than ever, but trust and validation remain the missing pieces,” said Olivier Cohen, CEO of RagMetrics. “With our Live AI Evaluation Tool, we’re giving enterprises the confidence to deploy GenAI responsibly and at scale. This is about more than technology—it’s about enabling innovation with transparency and reliability. Product teams can now ship new AI features in under three months, turning pilot programs into production reality.”

By bridging the validation gap, RagMetrics is not just launching a product; it’s providing the catalyst for faster, more reliable innovation in the enterprise AI landscape.

Marketing Technology News: Beyond the Trend: How CMOs Are Using Cultural Intelligence to Lead Culture, Not Chase It

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Strata, a Strategic Communications Agency for Deep-Tech B2B Brands, Launches

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Strata, a Strategic Communications Agency for Deep-Tech B2B Brands, Launches

Strata

Strata, a new strategic communications agency for deep tech B2B companies, has officially launched, bringing decades of technology and communications experience from its three co-founders. The agency helps technical brands build visibility and credibility across media, technical communities, social platforms, and AI-driven discovery. Strata applies an earned ecosystem approach shaped by how technical audiences engage, and specializes in semiconductors, advanced electronics, AI, IoT, clean tech, and more.

Strata was founded by Kerry McClenahan, CEO, Sarah MacKenzie, VP of Client Strategy, and Zach Hynoski, VP Communities. The three co-founders worked together in senior leadership roles at Publitek, a Next 15 company, where they led integrated communications programs for global deep-tech brands. Prior to Publitek, McClenahan founded and ran boutique tech B2B technology agency McClenahan Bruer for 25 years before its acquisition by Publitek.

Marketing Technology News: Martech Interview with Aquibur Rahman, CEO of Mailmodo

Strata’s earned ecosystem approach reflects how deep-tech and engineering audiences actually discover and evaluate information, moving fluidly between trade and business publications, social media, communities and industry forums. This multi-channel behavior is now standard, and information that appears in one channel often influences content and conversations in others, shaping how technical and business decision-makers learn, build trust and make purchasing decisions.

The agency’s offers a full range of strategic communications services that help deep-tech brands build visibility and credibility across the channels their audiences rely on, including:
• Communications strategy and planning
• Media and analyst relations
• Social media including brand community management, executive persona programs, and influencer activity
• Executive visibility
• Community marketing
• GEO/LLM optimization
• Technical and thought leadership content creation
• Creative content development

“Too often, deep-tech communications breaks down not because the story lacks substance, but because it’s told in a piecemeal fashion,” said Kerry McClenahan, CEO of Strata. “Engineers build trust through consistent patterns – what they read, who they listen to, and how ideas show up over time. Our work is about creating inter-platform synergy in storytelling.”

Strata currently works with a range of deep-tech B2B companies across semiconductors, electronics, and industrial technology markets, and is available to support additional organizations seeking strategic communications expertise. For more information about Strata and its services, visit www.stratacomms.agency.

Marketing Technology News: Beyond the Trend: How CMOs Are Using Cultural Intelligence to Lead Culture, Not Chase It

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Later Surpasses $2.4 Billion Annual GMV Run Rate and More Than $250 Million in Cumulative Creator Payouts, One Year After Mavely Acquisition

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Later Surpasses $2.4 Billion Annual GMV Run Rate and More Than $250 Million in Cumulative Creator Payouts, One Year After Mavely Acquisition

A unified creator commerce engine, record creator earnings and new global client wins position Later as a leader in end-to-end influencer marketing and commerce

Later–the world’s most intelligent influencer marketing company, announced new growth milestones and expanded client momentum one year after acquiring and fully integrating Mavely, the leading Everyday Influencer Platform®. The combined platform surpassed a $2.4+ billion GMV run rate, up more than $1 billion since 2024, and delivered more than $250 million in lifetime creator payouts, reinforcing Later’s position as the category leader in full-funnel creator marketing and commerce. The milestone follows a historic holiday shopping weekend where creator-driven content across all platforms generated more than $50 million in sales during Black Friday and Cyber Monday, underscoring how Later and Mavely have become core performance drivers behind today’s most successful creator-led brand campaigns.

The last 12 months also marked the expansion of Later’s enterprise footprint with significant new enterprise client partnerships that will bring Later’s creator commerce infrastructure to multiple globally recognized brands. These wins reflect a broader shift in the industry as large brands consolidate their influencer marketing needs onto platforms with the scale, intelligence and performance depth that Later provides. Later continues driving the industry forward by being named a Leader in the G2 Winter 2026 Reports, achieving this recognition for the fifth year in a row for Influencer Marketing Platforms with its first recognition for Affiliate Marketing since the acquisition of Mavely. This reinforces its position as the category leader in full-funnel creator marketing and commerce.

Marketing Technology News: MarTech Interview with Lee McCance, Chief Product Officer @ Adverity

“Later is setting the pace for the next decade of influencer marketing,” said Scott Sutton, CEO of Later. “The success of the Mavely integration, combined with our expanding roster of global partners, signals a clear shift in the market. Enterprise brands are choosing Later because we offer the scale, AI tools, data intelligence and full-funnel infrastructure that no other platform can match. This is only the beginning as we redefine what influencer marketing can deliver.”

With more than 3,000 leading brands and retailers on the platform, Later continues to grow both brand and creator adoption. The Mavely creator community now includes more than 180,000 creators who collectively generated more than 100% year-over-year GMV growth. During the Black Friday and Cyber Monday weekend alone, creators on Mavely earned $3 million dollars across the four-day period, demonstrating the economic power the platform delivers for everyday influencers. The creator community has  brought in more than $250 million in earnings to date across Later and Mavely.

“Later has become an important partner in helping our team manage creator programs more efficiently and has enabled us to see consistent growth and success,” said Brandi Briggs-Freeman, Social and Influencer Manager at Southwest Airlines. “The combination of their platform, data, and services give us a clearer visibility into performance and help us streamline how we work across channels so we can move quickly and strategically at scale.”

“Working with Mavely by Later has completely transformed how I earn and support my family,” said Influencer, Taylor Moore. “As a mom of three, the platform has given me real economic freedom and the ability to build long-term partnerships with brands I love. It’s brought stability, consistency, and the confidence to scale my income in ways I never imagined possible. Before Mavely, I made just enough to help with diapers and groceries; now I am my family’s primary income.”

Marketing Technology News: What is a Full Stack Marketer; What MarTech Matters Most to Full Stack Marketers?

Later’s growth is supported by ongoing product innovation. The company recently introduced Later EdgeAI, its predictive intelligence engine that uses a decade of proprietary influencer and commerce data to forecast performance and optimize campaigns. Later also continues to expand its portfolio of AI-driven products, social listening technologies and brand safety offerings to meet the needs of enterprise clients.

“We continue to be impressed by Later’s execution, category leadership and vision,” said Michael Medici, Managing Director at Summit Partners and board director at Later. “The company has demonstrated the ability to deliver scale and earnings for creators, as well as measurable value for enterprise brands. We believe Later is building a leading platform serving the creator economy.”

The milestone year reflects Later’s multi-year strategy to unify influencer marketing, creator commerce and AI-driven intelligence into one platform. As the market grows more crowded with point solutions, Later stands out as the long-term system of record for brands that need scale, performance, data depth and global activation.

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Insightly CRM Introduces Conversational AI Copilot Built to Transform Mid-Market CRM Efficiency

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Insightly CRM Introduces Conversational AI Copilot Built to Transform Mid-Market CRM Efficiency

Insightly, the easy-to-use, modern and affordable CRM, announced the launch of Copilot, a generative AI–powered assistant developed to make working in a CRM simpler, faster and more intuitive. Built to streamline everyday workflows, the Insightly CRM Copilot puts natural language prompts and powerful automation at the center of sales and marketing operations, turning the CRM into a smart, conversational partner for every user.

Built on Insightly’s mission to deliver enterprise–level power with unrivaled ease of use, Copilot bridges the gap between people and technology, enabling organizations to drive maximum value from their CRM as the engine of their go-to-market operations. With Copilot, users can instantly automate tasks, retrieve context-rich insights, and manage customer relationships through simple queries like “Can you summarize our current lead status quo to our leadership team?” or “Which customers are at our lowest tier, but are using all features and should be potentially targeted for an upsell campaign?” This eliminates manual searching and record creation, as Copilot executes through AI-driven automation and contextual understanding.

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

“Most teams use only a fraction of their CRM’s capabilities,” said Steve Oriola, CEO of Insightly by Unbounce Go-To-Market Solutions. “Copilot changes that by turning Insightly into an assistant that helps you get answers, stay organized, and drive revenue without added clicks or complexity.”

The Insightly Copilot streamlines work inside the CRM for sales, marketing, and customer success teams. Users can instantly create, update, and retrieve contact details, communication history, opportunities and tasks, all while maintaining data accuracy and compliance. Copilot helps you find data duplicates and gaps, generates personalized emails, offers follow-up suggestions, and provides real-time insights about leads, deals and pipeline status. With Copilot, users can move from data entry to data-driven action, prioritizing opportunities and accelerating deal cycles.

“Copilot makes it possible for small and mid–market organizations to compete like enterprises,” Oriola added. “It’s a companion that helps your teams focus on customers and deals. Nothing gets lost, forgotten, or buried in notes.”

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

Key features include:

  • Conversational task management: Simply say or type what needs to happen and Copilot does the rest
  • AI–powered data hygiene: Ask Copilot toIdentify duplicates, clean records, and maintain accuracy
  • Insight generation: Copilot helps you proactively surface key trends, top–priority leads, and follow–up opportunities
  • Ease of adoption: Make CRM use intuitive for every team member, regardless of technical skill

Recent research shows only 34% of sales teams fully adopt their CRM, leaving tremendous untapped potential for efficiency gains. Copilot addresses this gap by making enterprise-grade tools accessible and intuitive, enabling small and mid-market organizations to compete like enterprises through smarter, faster decision-making.

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Vonage Deepens Native Contact Center with Salesforce’s Agentforce Voice Integrations

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Vonage Deepens Native Contact Center with Salesforce's Agentforce Voice Integrations

Vonage’s AI-powered voice solution for virtual and human agents brings next-gen intelligence to customer engagement to elevate the customer experience

Vonage, a part of Ericsson announced a new integration between Vonage Contact Center and Salesforce’s Agentforce 360, giving enterprises a single AI-powered platform to elevate the customer experience. Vonage for Salesforce Voice is now integrated with Agentforce Voice, Salesforce’s voice-powered AI agent, unifying voice and AI to transform contact centers into personalized, scalable customer engagement platforms.

Vonage Contact Center + Salesforce Voice and Agentforce Voice = AI-Powered Personalization at Scale

Voice is a critical channel for creating meaningful customer connections, especially for high-value or emotionally-charged interactions. AI-powered voice capabilities give contact centers the flexibility to scale agents to every conversation. The solution acts as an enhanced virtual agent, to identify customer problems, automate resolution, and escalate relevant cases to the right expert with full context. Vonage’s intelligent, skills-based routing ensures the right outcome at every touchpoint – from automating fraud checks, to escalating sensitive cases to a human agent, and steering inbound sales calls to the right team.

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

“Businesses no longer need to choose between efficiency and empathy,” said Reggie Scales, President and Head of Applications for Vonage. “With Vonage’s Salesforce-native contact center solutions integrated with Salesforce’s AI-powered voice capabilities, we are helping customers to scale AI and automation while preserving the personalized touch that only a voice interaction can create.”

“Salesforce is delivering a new way of working for today’s customer-facing teams,” said Kishan Chetan, EVP & GM, Agentforce Service at Salesforce. “By combining Vonage Contact Center’s Salesforce-native solutions with Agentforce Voice, Vonage is building on its Salesforce integrations with AI agents and humans working together to uncover new capabilities for enterprises to turn every engagement into a growth opportunity – simplifying operations, delighting customers, and unlocking new levels of ROI.”

“Agentic AI is redefining the way today’s enterprises do business and, with the integration of Agentforce Voice into cloud-based solutions like Vonage’s contact center offering, this marks a major shift in how businesses today will connect with their customers,” said Jim Lundy, CEO and Lead Analyst of Aragon Research. “Delivering new levels of efficiency for agents, and unprecedented real-time engagement, this new integration will transform customer service from transactional, bot-driven interactions to dynamic, seamless, and outcome-driven connections.”

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

Extending Agentforce Further with Vonage

The integration of Salesforce’s AI-powered voice capabilities with Vonage’s contact center solution is a natural extension of a deep, 15 year-collaboration with Salesforce, which has created a single engagement platform to streamline support, service, and sales, leveraging customers’ existing tech stack investments for a variety of use cases:

  • Extend to the experts: Integration with solutions like Microsoft Teams integration with additional Salesforce-native Unified Communications solutions such as Vonage Business Communications (VBC) brings back-office experts and field teams into Salesforce. The Agentforce 360 platform surfaces knowledge to frontline agents, automating increasingly complex tasks.
  • Extend to every channel: Salesforce-native digital channels with Vonage, via Bring Your Own Channel (BYOC) for Contact Center-as-a-Service (CCaaS), expands AI-driven customer service by automating engagement 24/7 across every channel.
  • Extend to sales: Salesforce-native outbound dialer with Vonage accelerates pipeline by connecting reps to the best leads, faster. Agentforce’s Lead Nurturing agent automates prospecting, call logging, and follow-ups, while Agentforce’s Sales Coach delivers real-time talk tracks and performance analytics.
  • Extend to every workflow: With Vonage Agentforce Identity Insights and Fraud Detection, businesses can embed Vonage’s Network APIs into Salesforce, bringing fraud detection, enhanced customer verification and additional insights, into workflows and agent interactions. This was announced at Dreamforce 2025 as a way for contact center agents leveraging Vonage’s network APIs and Salesforce AI to invisibly detect fraud risks and verify customers, and intelligently determine effective communications channels in real time.

Vonage was also recently recognized with the Salesforce 2025 Partner Innovation Award for the third consecutive year for its AI-driven voice capabilities integrated with Salesforce Voice and Agentforce Voice. Combined with its status as the top-rated Salesforce partner on the AppExchange, the leading enterprise marketplace for partner applications, these achievements underscore Vonage’s longstanding ecosystem partnership with Salesforce and deep integration between the companies’ leading technologies.

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Mundial Media Taps National Political Strategy Leader Junelle Cavero Harnal to Lead AI-Driven Political Campaign Division

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Mundial Media Taps National Political Strategy Leader Junelle Cavero Harnal to Lead AI-Driven Political Campaign Division

Cavero Harnal joins Mundial Media to leverage her expertise in multicultural digital advertising, political strategy, and nonprofit leadership, guiding the company’s growth ahead of the 2026 midterms and 2028 general election.

Mundial Media, the industry’s leading AI-powered advertising platform for growth audiences, announced the appointment of national political strategist Junelle Cavero Harnal as Head of Political. In this role, Cavero Harnal will lead the company’s political division, expanding partnerships with electoral campaigns, civic engagement organizations, issue-based advertisers, and nonprofits preparing for the 2026 midterms and 2028 general election.

Marketing Technology News: Martech Interview with Aquibur Rahman, CEO of Mailmodo

As we scale our AI-powered contextual platform, Junelle will be instrumental in expanding our work with political and advocacy partners nationwide

Cavero Harnal brings more than 25 years of experience in political engagement, government affairs, and national campaigns. She previously led the political vertical at My Code Media, and her career includes senior roles on presidential campaigns for Hillary Clinton, Barack Obama, and Bernie Sanders, as well as leadership positions within the Arizona Democratic Party and the Democratic National Committee. She is also the founder of Blue Knot Strategies, advising Fortune 500 companies, federal agencies, and national nonprofits on strategic partnerships and civic engagement.

“As we scale our AI-powered contextual platform, Junelle will be instrumental in expanding our work with political and advocacy partners nationwide,” said Tony Gonzalez, CEO of Mundial Media. “Her leadership positions us to deliver culturally intelligent, privacy-first solutions that drive measurable impact with the voters and communities shaping the next two election cycles.”

Marketing Technology News: Beyond the Trend: How CMOs Are Using Cultural Intelligence to Lead Culture, Not Chase It

“Elections are increasingly decided at the margins, where precision and speed matter most. By combining AI-driven insights with proven media execution, we’re giving our partners a decisive edge,” said Cavero Harnal. “I look forward to scaling this approach nationally and setting a new standard for modern political campaigns.”

At Mundial Media, Cavero Harnal will oversee political and advocacy partnerships, support state- and national-level advertisers, and lead strategies to help campaigns authentically reach Hispanic, Black, AAPI, LGBTQ+, and other diverse audiences through contextual, privacy-first technology.

This appointment reinforces Mundial Media’s commitment to building a marketing platform that reflects the richness of audiences while providing data-driven, culturally grounded tools that elevate storytelling and campaign performance.

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Persistent and DigitalOcean Announce Strategic Partnership to Advance Accessible, Scalable and Secure AI

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Persistent and DigitalOcean Announce Strategic Partnership to Advance Accessible, Scalable and Secure AI

Combining engineering expertise and cloud innovation to accelerate AI adoption

Persistent Systems, a global Digital Engineering and Enterprise Modernization leader and DigitalOcean, the comprehensive agentic cloud, announced a strategic partnership to make Artificial Intelligence (AI) more accessible, scalable and secure for enterprises and developers worldwide. The collaboration will accelerate AI adoption by providing cost-effective infrastructure designed for growth and innovation.

As part of this partnership, Persistent has selected DigitalOcean as its cloud and AI infrastructure provider for SASVA™, its AI-powered platform. SASVA seamlessly integrates code, documentation, architecture and executive summaries and adapts fluidly across a spectrum of workflows and roles. It leverages DigitalOcean Gradient™ AI Agentic Cloud to run its AI workloads and customer deployments reliably and cost-efficiently. This includes using DigitalOcean Gradient AI Platform for the full agent development lifecycle and high-powered GPUs from DigitalOcean Gradient AI Infrastructure offerings.

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

As organizations accelerate AI adoption, they face mounting challenges such as rising GPU and infrastructure costs, fragmented agent development ecosystems and increasing security and compliance concerns. This partnership between Persistent and DigitalOcean aims to address these barriers by combining Persistent’s AI engineering expertise and platform innovation with DigitalOcean’s robust agentic cloud infrastructure and AI platform. Persistent and DigitalOcean are collaborating for SASVA and inference workloads on Gradient AI Agentic Cloud to offer secure, cost-effective and enterprise-ready AI solutions that aim to drive meaningful impact and adoption across organizations of all sizes.

Extending these capabilities through DigitalOcean’s agentic cloud, Persistent will help clients achieve tangible outcomes from cost-efficient AI adoption and business acceleration. This approach will reduce AI infrastructure and operational costs by over 50%, enabling faster adoption and more predictable scaling of AI across industries. In return, Persistent will leverage SASVA and its deep engineering expertise to build modern AI stacks that enhance the capabilities, performance and efficiency of DigitalOcean’s next-generation cloud platform for AI workloads, accelerating DigitalOcean’s AI offering roadmap.

Persistent selected Gradient AI Agentic Cloud to deliver best-in-class infrastructure for digital native enterprises and AI-native customers alike by combining performance, transparency and predictable economics. It also enables seamless scaling as AI technologies evolve, while reducing infrastructure and maintenance costs through managed, ready-to-use environments and provides continuous access to an evolving catalog of diverse models, frameworks and AI accelerators within SASVA.

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

Sandeep Kalra, Chief Executive Officer and Executive Director, Persistent

“As enterprises move from experimenting with AI to embedding it across their core operations, success will hinge on how effectively they scale with speed, trust and measurable impact. Our partnership with DigitalOcean exemplifies this shift, combining our AI engineering expertise and SASVA™ platform with DigitalOcean’s agentic cloud to help clients operationalize AI with confidence. Together, we are simplifying how organizations build, deploy and scale AI, strengthening the foundation for the next wave of intelligent, platform-driven innovation.”

Paddy Srinivasan, Chief Executive Officer, DigitalOcean

“DigitalOcean’s agentic cloud delivers the infrastructure, platform, and services that make AI accessible, scalable, and cost-effective. Partnering with Persistent expands these capabilities to more enterprise use cases by integrating our AI foundation with SASVA’s deterministic engineering. Together, we are accelerating the use of AI solutions at scale.”

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