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Kharon and Digital Science Launch Integration to Strengthen Research Security

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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.

Marketing Technology News: What Marketers Need to Know About the European Accessibility Act

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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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.

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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.

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“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.

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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.

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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

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“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

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

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

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

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.

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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.

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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.

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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.

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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.

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“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.”

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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.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

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.

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“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.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

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.

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“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.”

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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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Business Wire
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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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PRNewswire
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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.

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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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impact.com and Evertune Partnership Helps Brands Influence AI Search Results, Supported by Strategic impact.com Investment

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Business Wire
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impact.com and Evertune Partnership Helps Brands Influence AI Search Results, Supported by Strategic impact.com Investment

impact.com Logo

Brands can activate partnerships directly with the content creators that are shaping AI search recommendations through impact.com and Evertune’s Partner Connect

impact.com, the world’s leading and largest commerce partnership marketing platform, and Evertune, a pioneer in Generative Engine Optimization (GEO) and AI marketing, announced a partnership to give brands a clear view into how they appear in AI-generated search results, and a way to act on those insights. The partnership showcases AI search visibility metrics within impact.com, along with built-in partnership activation, showing brands how Large Language Models (LLMs) reference them and which creators and publishers most influence those recommendations.

“This partnership moves performance marketing beyond the click into the realm of insights and authority,” said David A. Yovanno, CEO of impact.com.

Within Evertune’s platform, customers can seamlessly activate content partnerships through impact.com via Evertune’s newly launched Partner Connect, a marketplace that enables marketers to act on AI visibility insights by distributing content across the sources that influence AI recommendations. As part of this collaboration, impact.com will also make a strategic investment in Evertune, reinforcing the companies’ shared commitment to shaping the future of AI-powered commerce discovery.

As consumers increasingly turn to ChatGPT, Gemini, and Google’s AI Overviews for shopping guidance, AI-generated answers are competing directly with traditional search. Adobe reports that traffic to U.S. retail sites driven by generative AI sources surged 4,700% year-over-year as of July 2025, outpacing traditional online shopping growth and highlighting the rapid influence of AI-powered recommendations on consumer behavior. Because LLMs heavily rely on trusted, authentic content, such as in-depth reviews, comparisons, tutorials, and expert perspectives, the output of creators and other affiliate commerce publishers has become increasingly more influential in shaping product recommendations.

Through this new partnership, Evertune’s AI Brand Monitoring reports are now integrated directly into impact.com’s platform for select customers. Additionally, impact.com has created an activation capability, allowing brands to form partnerships with the commerce creators and publishers that are identified by Evertune’s Content Analytics. This connection between AI insight and partnership activation is an industry first.

“This partnership moves performance marketing beyond the click into the realm of insights and authority,” said David A. Yovanno, CEO of impact.com. “It not only gives brands and publishers clear visibility across the LLM ecosystem, but also provides them with strategic activation capabilities to act on that intelligence. It’s a major step toward helping our customers shape and monetize the next era of commerce search.”

Available to select impact.com customers, brands can finally see:

  • AI Brand Score: Measures how likely an AI model is to recommend a brand when the brand isn’t mentioned in the prompt. The score reflects both how often the brand appears in AI answers and where it ranks within those responses, giving companies an easy way to benchmark their visibility against competitors.
  • Domain Mentions: Breaks down which publisher and creator domains AI models include as a source most often in a given category. This enables brands to identify the sources that carry the most influence in AI recommendations and prioritize partnerships with the creators and publishers that shape their visibility.

These insights give brands a real-time understanding of how they show up in AI answers and which authentic, community voices like creators, reviewers, and commerce publishers, are shaping consumer recommendations. As AI becomes a major channel for product discovery, creator-authored content becomes one of the strongest signals guiding LLM responses. With AI Search Visibility Reports inside impact.com, brands can see which individual creators or trusted sources are influencing these AI-driven recommendations, and immediately activate partnerships with those creators through the impact.com marketplace. What used to be an opaque and difficult-to-navigate part of the AI ecosystem is now transparent, actionable, and directly tied to measurable commerce outcomes.

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

Early customers are able to convert these AI search insights into targeted GEO partnerships, including access to impact.com’s RFP engine and the world’s largest and most diverse premium content marketplace of creators and publishers. Looking ahead, brands will also be able to access media packages and high-impact placements with the creators and commerce content publishers that most strongly shape LLM responses. This will include refreshing mentions in high-authority articles or commissioning new content from sources that generative engines consistently cite, giving brands a meaningful way to guide visibility, accuracy, and influence across AI-driven discovery.

The launch also marks impact.com as the first partner to appear in Evertune’s Partner Connect marketplace. Marketers can discover prioritized lists of AI-influential content sources within Evertune and, through the integration, activate affiliate and creator campaigns directly in impact.com. To measure the effectiveness of these campaigns, they can then track how increased mentions improve visibility in ChatGPT, Claude, Gemini, and other leading LLMs.

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

“Commerce content’s impact on AI search visibility is significant. In our analysis of the top 10,000 sources cited by AI models, over 40% of content either contains affiliate links or is sponsored,” said Brian Stempeck, CEO of Evertune. “By partnering with impact.com, we help brands understand their visibility in AI search, discover the publishers that have the biggest influence on AI answers, and activate their affiliate networks, ensuring their products show up when AI recommends what to buy.”

The AI Search Visibility Reports are now available for select brands, and early partners are already using these insights to activate GEO-informed creator and affiliate campaigns through Partner Connect. A broader rollout is planned for early next year.

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ClaimScore Rebrands as Covalynt, Expanding Data Science Platform for Complex Litigation

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MTS Staff Writer
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ClaimScore Rebrands as Covalynt, Expanding Data Science Platform for Complex Litigation

ClaimScore Rebrands as Covalynt, Expanding Data Science Platform for Complex Litigation

New Covalynt product suite brings scientific rigor and defensible clarity to every stage of the litigation lifecycle

ClaimScore, the legal technology company behind the only data science and AI-driven fraud detection solution for class action settlements, announced that it has rebranded as Covalynt. The new brand reflects the company’s evolution from a single anti-fraud product into a full-service data science platform purpose-built for complex litigation.

Under the Covalynt name, the company now offers an integrated suite of products—ClassResolution, DeepValidation, ClaimScore by Covalynt, and Bespoke Data Solutions—designed to solve the most difficult data problems in high-stakes cases, from early discovery through settlement distribution.

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

“Complex litigation has become fundamentally data-driven, but the industry hasn’t kept pace with the data-science rigor these matters now require,” said Don Beshada, CEO and co-founder of Covalynt. “ClaimScore showed us that fraud detection was just one piece of a much larger problem: fragmented class records, unreliable notice data, and identity-resolution challenges that traditional tools simply can’t handle. Covalynt is our answer to that broader mandate—the bond between complex litigation and data science.”

Originally launched as ClaimScore, the company pioneered bank-level, data-driven backend fraud analysis to help settlement administrators, attorneys and companies detect and prevent sophisticated class action claim fraud in real time.

“Our clients started coming to us with questions that went far beyond ‘Is this claim fraudulent?'” said Bryan Heller, co-founder of Covalynt. “They needed defensible class datasets, reliable notice strategies, and transparent models that could survive legal challenges. Covalynt’s platform is built to meet that reality—engineered by data scientists, proven in high-profile cases, and designed to stand up under expert and judicial scrutiny.”

Covalynt’s platform now includes four core offerings that bring scientific structure and defensibility to the entire litigation lifecycle:

  • ClassResolution – Guides discovery toward the data that matters and builds a unified, audit-ready class dataset. Covalynt helps legal teams request the right fields, reconcile fragmented records across sources, and apply engineered identity-resolution methods so that class membership can be defended under intense judicial and expert scrutiny.
  • DeepValidation – Transforms incomplete or inconsistent class contact data into actionable intelligence. DeepValidation enriches and validates addresses, emails, and other contact points, maximizing direct deliverability and sharpening indirect notice strategies while documenting each step in a reproducible, transparent process.
  • ClaimScore – Retains and extends the original ClaimScore fraud-detection capabilities. The product uses multi-factor, AI-driven scoring to identify fraudulent or suspicious claims—including synthetic identities and phone-farm submissions—while preserving legitimate claims and providing objective, evidence-backed documentation to courts and settlement stakeholders.
  • Bespoke Data Solutions – For challenges that don’t fit a standard pattern, Covalynt builds custom engineered workflows and applied data science solutions tailored to the specific facts, systems, and risks of a case. These bespoke engagements address root-cause data issues—such as complex identity graphs, multi-defendant data feeds, or unusual notice channels.

Covalynt’s methodology has been deployed in a wide range of privacy, consumer, and antitrust matters, including federal and state cases involving some of the world’s largest technology, data, and consumer brands. The company’s tools and testimony have been used in cases such as Lopez v. Apple, Inc., Katz-Lacabe et al. v. Oracle America, Inc., Mackmin et al. v. Visa Inc. et al., and Frasco v. Flo Health, Inc., Google LLC, and Meta Platforms, Inc., among others.

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Across these matters, Covalynt’s role has expanded from fraud detection and claim validation to broader responsibilities such as class data engineering, notice optimization, and ongoing analytics that support negotiations, fee petitions, and post-distribution reporting.

“We built Covalynt for the data reality of modern cases,” Beshada added. “That means transparent, reproducible logic, rigorous security, and solutions that make litigation fairer and more efficient for courts, class members, and counsel on all sides.”

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How to Tame Martech Fragmentation Through Smarter Data Practices

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Bryan Cheung
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How to Tame Martech Fragmentation Through Smarter Data Practices

Two-thirds of marketers now say data integration is among their biggest challenges, and data silos top the list of concerns about the future of the martech stack. Fragmentation remains the rule, not the exception.

The modern martech stack was meant to be a bridge between creativity and data, between human insight and digital precision. Instead, it has often become a patchwork of disconnected systems. Unchecked growth without governance, strategy, or interoperability causes tech stacks to work against their intended goals.

This article outlines practical steps organizations can take to streamline data ingestion and improve interoperability across their marketing technology ecosystems. By focusing on shared APIs, consistent metadata, centralized governance, and meaningful performance metrics, marketing leaders can maximize the value of their technology investments.

The Persistence of the Frankenstack

Marketers have long used the term “Frankenstack” to describe technology environments stitched together from overlapping tools. Each platform adds incremental value, but integration complexity grows exponentially. Many organizations are still trapped in this pattern, with siloed systems that make it difficult to share data or scale personalization efforts.

Beyond being just a technical issue, this fragmentation erodes the customer experience. When systems cannot exchange data fluidly, every touchpoint becomes a separate conversation. Customers see inconsistencies in pricing, personalization, or messaging. That results in lost opportunities to generate revenue. The Liferay 2025 Digital Self-Service Report found that 73% of consumers have skipped a purchase because the process was too annoying. Meanwhile, teams spend more time reconciling systems than executing campaigns.

Moving From Complexity to Cohesion

The path forward lies in simplifying how data flows through the marketing ecosystem. Instead of layering more technology on top of existing systems, organizations need to standardize the way their tools communicate and exchange information. The goal is a stack where every component works together through shared language, structure, and governance.

Three practices consistently help organizations streamline data ingestion and strengthen interoperability.

1. Standardize on APIs and Metadata

Every integration depends on a shared foundation. Standardizing on APIs ensures that systems communicate through consistent protocols, reducing the need for custom connectors and manual workarounds. Collaborating with IT to align on data schemas and semantic tags enables seamless movement of information across tools.

Metadata plays a critical role as well. Clear titles, descriptions, and standardized fields help both people and systems interpret what the data represents. These details improve automation, reporting accuracy, and overall visibility. Over time, strong metadata standards create a foundation where every new tool can plug in without rebuilding connections from scratch.

2. Govern Through a Centralized Design and Data System

Governance is the glue that keeps a stack coherent. A centralized design system ensures visual and functional consistency across channels, reducing duplication and confusion. The same principle applies to data. A centralized data model that defines how customer, campaign, and content information is structured prevents drift across tools.

These frameworks create a shared reference point for marketing, IT, and analytics teams. They ensure that personalization engines, content systems, and reporting platforms all reference the same source of truth. The result is a stack that is easier to maintain, measure, and scale.

3. Measure Interoperability, Not Tool Count

Too many organizations measure progress by how many tools they deploy. The real indicator of maturity is how well those tools work together. Metrics such as data freshness, latency across APIs, and the time required to activate insights provide a clearer picture of integration health.

When interoperability improves, marketing teams spend less time reconciling data and more time acting on it. Tracking these metrics builds accountability and reinforces a culture of continuous optimization.

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

Lessons from Digital Experience Platforms

Modern Digital Experience Platforms (DXPs) offer lessons for marketers trying to take a disciplined approach to integration. They provide a unified engagement layer that sits above systems like ERP, CRM, and commerce engines, connecting data through APIs while maintaining consistency across web, mobile, and partner channels.

As marketers adopt modular, API-first approaches, success comes from designing for interoperability from the start. Those that combine flexible architecture with strong governance are better positioned to reduce redundancy, improve personalization, and deliver cohesive customer journeys.

From Flexibility to Focus

Marketers are under pressure to deliver real-time personalization, omnichannel engagement, and measurable ROI. These demands are legitimate, yet they often drive hasty adoption of new technologies without a cohesive plan. The result is a stack that is flexible in theory and fragile in practice.

Discipline restores focus. It ensures that every integration centers on better customer insight and faster, more consistent delivery. It requires collaboration across marketing and IT teams to establish ownership of APIs, monitor data quality, and manage versioning.

The future of martech will favor organizations that simplify their stacks by standardizing data practices. When teams treat interoperability as a core capability rather than a technical afterthought, the stack stops being a collection of tools and becomes a connected system that supports growth.

The Future Belongs to Integrated, Intentional Stacks

Reducing martech fragmentation starts with structure, not more software. Organizations that standardize how data moves through their systems will find it easier to scale campaigns, personalize experiences, and measure results accurately.

The most effective path forward includes a few consistent practices:

  • Standardize on APIs and metadata to ensure every platform communicates in the same language.
  • Establish centralized governance through shared data and design systems to maintain consistency.
  • Measure interoperability using metrics like data freshness and latency instead of focusing on tool count.

These steps create a connected ecosystem where data flows freely and insights are reliable. When marketing, IT, and data teams collaborate on these foundations, the stack evolves from a tangle of tools into a cohesive system that supports smarter decisions and stronger customer relationships.

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

Larridin Wins 2025 Intellyx Digital Innovator Award for Redefining How Enterprises Measure AI Value

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Business Wire
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Larridin Wins 2025 Intellyx Digital Innovator Award for Redefining How Enterprises Measure AI Value

Larridin Logo

Larridin recognized for equipping enterprises with measurable insights, turning AI investments into ROI.

Larridin, the AI measurement and scaling platform, announced it has been awarded a 2025 Intellyx Digital Innovator Award for standout innovation in digital transformation. Presented by analyst firm Intellyx, known for spotlighting disruptive vendors that rise above the noise in crowded technology landscape.

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“This award from Intellyx validates that to solve the visibility crisis, you need a fundamentally new kind of infrastructure—one that measures the utilization, proficiency, and impact.”

As AI adoption accelerates, CFOs, CIOs/CTOs, and other key stakeholders are under increasing pressure to prove ROI, scale responsibly, and align AI investments with business goals. This award recognizes Larridin’s ability to solve these challenges by providing the insights needed to move from AI experimentation to measurable impact and manage the Agentic Enterprise of the future.

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“At Intellyx, we only set up briefings with the most disruptive and innovative firms. Larridin is one such company, which is why we designated them as an Intellyx Digital Innovator,” said Jason Bloomberg, founder and managing director of enterprise IT industry analysis at Intellyx. “As AI budgets continue to grow across organizations, Larridin provides the analytics needed to understand AI adoption and ROI, enabling its responsible, scalable management.”

“We built Larridin because we realized traditional IT monitoring was blind to the ‘atomization of work’ happening between humans and AI agents,” said Russ Fradin, CEO of Larridin. “You cannot manage this transformation by counting logins; you need deep visibility at the browser and desktop level to understand the actual friction and flow of digital labor. This award from Intellyx validates that to solve the visibility crisis, you need a fundamentally new kind of infrastructure—one that measures the utilization, proficiency, and impact.”

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WORK-SELF Launches the World’s First Identity-Led Career Operating System Powered by Agentic AI

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MTS Staff Writer
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WORK-SELF Launches the World’s First Identity-Led Career Operating System Powered by Agentic AI

Work-Self

Artificial intelligence is transforming how work gets done. What it has not solved is how people navigate careers when roles are temporary, skills expire quickly, and professional identity is constantly under pressure.WORK-SELF is stepping into that gap.

The Europe-based startup announced the public expansion of its platform as the world’s first identity-led Career Operating System, powered by agentic AI and designed to function as a persistent Career Co-pilot for individuals and professional coaches navigating the future of work.

While most career technology focuses on hiring, resumes, or short-term optimization, WORK-SELF positions itself as infrastructure for career evolution itself.

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

From Roles to Identity
Careers are no longer linear. Professionals are expected to reskill repeatedly, manage portfolio careers, and make high-stakes decisions amid constant change. AI has accelerated productivity, but it has also amplified job displacement, career uncertainty, burnout, and misalignment.

WORK-SELF starts where traditional platforms stop: with the individual.

Instead of centering job titles or vacancies, the platform maps identity, values, energy patterns, strengths, and long-term direction. This data forms the foundation of a Career Operating System designed to support users across transitions, reinvention cycles, and periods of uncertainty.

The goal is not to optimize a single career move, but to provide continuity across an entire working life.

A Career Co-pilot Built on Agentic AI
At the core of WORK-SELF is an agentic AI architecture built to operate as a persistent career intelligence layer.

Unlike chatbots or static assessments, the Career Co-pilot continuously synthesizes structured career audit data, reflective inputs, goals, and progress signals to generate personalized career paths, 12-month action plans, and real-time guidance. The system adapts as users evolve, maintaining long-term context rather than resetting with each interaction.

This mirrors how AI co-pilots are changing software development and operations, but applies the model for the first time to career decision-making, an area historically resistant to automation due to its complexity and emotional depth.

Human Coaching, Augmented Not Replaced
WORK-SELF integrates live, professional career coaches directly into its operating system.

Agentic AI handles continuity, synthesis, and pattern recognition, while coaches focus on judgment, nuance, and human insight. Coaches work with AI-generated career blueprints, identity data, and progress analytics, allowing sessions to go deeper faster and extend impact beyond live conversations.

For users, this creates a hybrid experience: continuous AI support paired with high-trust human guidance. For coaches, it unlocks scale and precision without sacrificing quality.

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

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How AI Can Lead To A More Valuable And Creative Advertising Industry

By
Bill Connolly
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0

Across the advertising landscape, every few years or so a slew of headlines will hit suggesting it is the “end of advertising as we know it.” For some reason, new technology always seems to hit the ad-world quickly and harder than in other industries. Though this perception has real consequences in how agencies and in-house creative and media teams operate, like most headlines, the truth is often more nuanced and less clean-cut than those of us pontificating on the future would like to admit.

Such is the case in the age of artificial intelligence, which has upended the work of advertising and creative professionals, with tools like OpenAI’s ChatGPT and Anthropic’s Claude exploding onto the scene and impressively iterating with lightning speed. Agencies have had to quickly grapple with increasing pressure on efficiency while evaluating and learning about a rapidly expanding ecosystem with hundreds of AI-powered tools. Across creative industries the pressure to protect intellectual property and human-centered design and creative work is palpable. The labor strikes in Hollywood in 2023 were, in part, driven by the desire to protect writing and acting jobs that could be threatened by integrating AI into production.

Now, a growing focus on “agentic AI” is reshaping various parts of the workforce, beginning with more thematic use cases like customer service, where Gartner predicts that by 2029, agentic AI will solve up to 80% of common issues without any human intervention.

Still, amidst the very justifiable concern over the impact that this technology could have on labor and differentiation, there is reason for advertisers and creatives to be optimistic about the future. In fact, McKinsey estimates that GenAI has the potential to unlock $2.6 trillion to $4.4 trillion across industries. Ironically, the integration of this technology is raising awareness around the importance of good design and creativity in brand-building.

Technology will never eradicate great advertising, because the industry has always been technology-agnostic. What do I mean? The job of the advertising industry is to not just stay ahead of trends in tech but to drive new trends in the service of one mission: capturing the attention of modern audiences and converting that attention into commerce. Human beings are still best equipped to craft, design, and sell brands to other human beings. They just now have more powerful tools to help them in that mission.

With that in mind, here are three ways that AI can drive stronger, more creative advertising in the years ahead.

Expanding access for more industry participants.

Technology, at its core, expands access by bringing the cost of entry down and enabling non-technical individuals to more easily participate without extensive training. Currently, we are in a period of modern renaissance, where social platforms like Instagram and TikTok are turning creators themselves into full-fledged brands, and design tools like Canva and Adobe Express are powering hundreds of millions of users to create content and digital experiences without traditional design capabilities.

For advertisers, AI threaded throughout the marketing stack is shortening the production lifecycle while amplifying the quality of output. Put differently, the floor is being raised on the quality of content, including podcasts, short-form video, ad creative, and more. Of course, making content much more seamless to produce can have drawbacks as well. As more entrants flood the industry, there will inevitably be a race to the middle, and consumers will need to wade through a sea of mediocre content to access the most impactful material. Which brings us to the next trend.

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

Creativity as the last true “moat.”

Many futurists and industry leaders have called for a return to investment in creativity and branding, which is being further accelerated in the age of AI. As Squarespace Chief Creative Officer David Lee says, “creativity is the only job left.” And some brands like Airbnb have largely divested from “performance marketing” to reinvest in building durable brand reputations.

Creativity, it turns out, is even more critical in a world saturated with ads, where attention is increasingly hard to capture. Recently, System1’s Andrew Tindall shared research after studying more than 1,200 campaigns with ad data from 200,000 consumers. Among other findings in The Creative Dividend, System1 quantified the “profit multiplier” of creativity in advertising as 21x. In a world where tools have neutralized technological advantage, investing in creative storytelling and in highly engaged brand communities is the more effective differentiator. AI will only exacerbate this trend in the years to come. For designers, art directors, music producers, and other creative leaders, this should provide some solace that their skills will be needed more than ever in an AI-future.

Navigating a world of abundance.

Even for highly skilled, trained creative professionals, wading through an endless array of assets to find the perfect song, image, color, or font for a particular brand campaign can take an enormous amount of time and effort. AI is reimagining the way in which visual creativity can manifest and is reducing the amount of toil that can so often take up energy that could be spent on more truly creative work. Traditionally, the same handful of assets may be overused purely out of ease, but AI tools are democratizing expertise, and helping identify through context the right asset for the right project. This level of personalization shines a light on a wider range of creative work and when applied well helps create more vivid and distinct visual identities.

Additionally, for creatives responsible for designing hundreds of ad variations, or localizing campaigns by language, etc., AI is helping automate this process. Creative workers can now invest their energy into meaningful initial designs and then leverage these tools to extrapolate the campaign into new specs, languages, mediums, and more. This is especially important for large enterprises and agencies serving these kinds of organizations. In a world of abundance where there is a seemingly endless supply of assets, AI is helping stratify and streamline selection.

For advertisers, AI is just the next paradigm shift for an industry that has been evolving through change successfully for more than a century. It is up to all of us to ensure that these tools are responsibly integrated to enable more creativity, rather than simply as a way to power mediocre productivity.

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

Media Mister Recognized as Top Platform for Buying Instagram Likes, Featured in Leading News Publications

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MTS Staff Writer
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Media Mister Recognized as Top Platform for Buying Instagram Likes, Featured in Leading News Publications

Media Mister Marks 13 Years of Supporting Creators in the Digital Age

Media Mister, a prominent player in the social media growth industry, has recognized its position as the best site to buy Instagram likes. The announcement follows features in respected publications including IDS News and K-State Collegian, further validating the company’s commitment to delivering high quality Instagram likes.

With nearly 14 years of industry experience, Media Mister has established a comprehensive service model that prioritizes genuine user interaction over artificial metrics. The platform has successfully managed 500,000+ orders and maintains a satisfied customer base of 300,000+ users spanning 195 countries.

Media Mister’s Instagram likes packages begin at $2 for 50 likes, with scalable options available for larger campaigns and corporate accounts. The service covers multiple engagement types including post likes, comment likes, live video likes, and story likes, allowing customers to boost engagement across various content formats. The service differentiates itself through a strict no-bot policy, ensuring all likes originate from real, active users within the Instagram ecosystem.

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

Key features of Media Mister’s services include gradual delivery mechanisms designed to reflect authentic engagement patterns, demographic-based targeting capabilities, and transparent pricing structures. The platform also maintains SSL security protocols and provides dedicated customer support channels for ongoing account management.

“The demand for genuine Instagram engagement continues to grow as creators and businesses prioritize account authenticity,” said John Rampton, co-founder of Media Mister. “Our approach has always centered on delivering measurable results through legitimate channels, and our expansion into likes represents a natural evolution of that commitment.”

The platform extends its service offerings across 70+ social networks, providing integrated solutions for multi-platform growth strategies. This ecosystem approach enables customers to develop cohesive engagement strategies across Instagram, TikTok, YouTube, Facebook, Twitter/X, and additional platforms.

Media Mister removes barriers to entry with customer-friendly protections designed to build confidence in the service. The platform offers a free trial, allowing prospective customers to experience the quality and delivery speed firsthand before committing to a paid package. For those ready to purchase, a 30-day money-back guarantee ensures complete satisfaction, while a 60-day refill guarantee protects against any lost likes. Combined with SSL-encrypted transactions and round-the-clock customer support, these protections underscore Media Mister’s commitment to account safety and sustainable growth.

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

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

Prep Edu – A pioneering AI-powered language learning platform in Asia

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MTS Staff Writer
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Prep Edu - A pioneering AI-powered language learning platform in Asia

Prep EDU | CNCF

By leveraging AI and advanced technologies, Prep Edu offers personalized learning experiences, helping over 1,000,000 learners achieve their language goals.

As a pioneer in applying AI to language learning in Asia, Prep Edu, an AI-powered learning, teaching, and testing platform, is redefining how self-learners overcome their biggest challenges. Through the use of advanced AI technology, the platform addresses the key obstacles: unclear study plan, difficulty tracking progress, lack of feedback, and limited opportunities for practice. Moving beyond traditional, one-size-fits-all learning models, Prep Edu delivers a personalized learning experience that aligns with each learner’s goals and pace.

Backed by a comprehensive AI-driven learning system, Prep Edu stands out in the EdTech landscape. The platform offers a wide range of language and test preparation courses, including IELTS, TOEIC, HSK – Chinese proficiency test, and PrepTalk – English communication.

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

AI-POWERED FEATURES THAT ENHANCE THE SELF-STUDY EXPERIENCE

Learning a language independently can be difficult when it comes to structuring study plans and keeping track of progress. Prep Edu addresses this with AI-powered personalized study plans, generated based on each learner’s performance in an entry test. These tailored plans offer a clear and guided roadmap, enabling learners to monitor their progress, concentrate on key areas, and approach self-study with greater confidence and efficiency.

Prep Edu also provides the Virtual Speaking Room (VSR) and Virtual Writing Room (VWR), which focus on enhancing learners’ speaking and writing abilities in a self-study environment. VWR and VSR simulate real exam conditions and assess learners’ performance based on 12 criteria. The Virtual Rooms provide instant, detailed feedback after each practice, clearly highlighting strengths and weaknesses while offering specific suggestions for improvement.

Throughout the learning journey with Prep Edu, students are supported 24/7 by Teacher Bee AI, an AI tutor that delivers instant answers, lesson summaries, and additional exercises to reinforce learning.

OVER 1,000,000 LEARNERS ACROSS ASIA ACHIEVING THEIR LANGUAGE GOALS FASTER WITH PREP EDU

Prep Edu has established remarkable success in Vietnam, responding to the strong and growing demand for language learning and test preparation. This demand is fueled by learners’ aspirations to study abroad and advance their careers in an increasingly competitive world. Building on this foundation, in 2024 and 2025, Prep Edu has expanded into new markets, including Thailand, Indonesia, Korea, and Taiwan, bringing its innovative AI-powered learning solutions to a broader audience.

Since its launch, Prep Edu has supported over 1,000,000 students across Asia, with more than 90% achieving their target scores. Even in its early stages in these new markets, the platform has received overwhelmingly positive feedback, with trial sign-ups, app downloads, and website traffic all rising significantly.

Ja, a Prep Edu student from Thailand shared: “I had no regrets choosing Prep Edu. Throughout the journey, I gained a deeper understanding of my own strengths and weaknesses. I had achieved exactly what I set out to do. My score jumped from 6.5 to 7.5 in just a month, a significant improvement that proved how effective Prep Edu’s methods truly are.”

By combining comprehensive courses with cutting-edge AI-powered features, Prep Edu empowers learners to achieve their language goals faster, setting a new benchmark for language education across the region.

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

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

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