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Amplitude Launches AI Assistant to Help Users Get Unstuck Inside Any Product Experience

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Amplitude Launches AI Assistant to Help Users Get Unstuck Inside Any Product Experience

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New in-product support agent answers questions with behavioral data and user insights, guides users through tasks, and shows product teams whether problems are truly fixed

To help companies provide personalized support the moment users land inside their product experience, Amplitude, Inc. introduced Amplitude AI Assistant, an embedded support agent. When users get stuck, AI Assistant guides them on what to do next, or even takes action for them—with context-aware responses and step-by-step walkthroughs that feel as if an expert were sitting beside them, so users get support without ever leaving the product.

While most AI chatbots are built to resolve support tickets and answer simple questions, they sit in a separate CX system that only sees what users type in the moment—not what they did before, during, or after the conversation. That’s why Amplitude AI Assistant is built on the Amplitude AI Analytics Platform, connecting every chat to real user behavior, product journeys, and in-product guides. Users get help instantly, while product teams see where people get stuck, which fixes work, and how any change impacts activation, conversion, and retention.

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“When a user gets stuck in a product, they shouldn’t have to file a ticket or go hunting through help docs,” said Spenser Skates, co-founder and CEO at Amplitude. “Amplitude AI Assistant lives inside the product, understands what users are trying to do from their behavior, and helps them finish the job on the spot. This is the start of a world where products can take care of their own users, and getting help is part of the experience, not a separate, frustrating process.”

With Amplitude AI Assistant, teams can:

  • Tailor support for each user – Personalize every response using behavioral data and user history, delivering in-product guidance that matches exactly where a user is in their journey.
  • Help users finish critical tasks – From a single conversation, AI Assistant can trigger step-by-step walkthroughs or take action on a user’s behalf to complete entire workflows. Users go from stuck to resolving an issue without leaving the product, searching for answers, or waiting on support.
  • Proactively address user frustration – Monitor and identify when users are struggling and deliver proactive, contextual help before those signals escalate into disengagement or churn.
  • Gain full visibility into every response – Provide complete transparency into every interaction, surfacing the sources cited, the reasoning applied, and the decision path behind answers, so organizations can feel confident in responses.

Because AI Assistant is connected to Amplitude’s AI Analytics platform, every interaction becomes fuel for a smarter support experience. With Guides and Surveys, AI Assistant can decide when to intervene, what guidance to share, and how to help users through specific tasks. Session Replay surfaces what brought a user to ask a question, as well as what they did once they had an answer. If an inquiry needs a human touch, support teams receive a complete case file at handoff so they can pick up without missing a beat. Additionally, AI Feedback turns real conversations into a continuous stream of product intelligence, giving teams insight into what users need.

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Support agents have always had the potential to do more, and with Amplitude AI Assistant, they finally can. Built on top of a company’s product data, it knows their users, understands where they struggle, and steps in before a ticket is filed. Early customers are already using it to complete onboarding, reduce support volume, and uncover the hidden friction costing them revenue.

“Our users don’t want to stop what they’re doing to look for help or file a support ticket,” said Michelle Esquivel, Senior Manager of Global Documentation, Advanced Solutions International, Inc. “Amplitude AI Assistant gives us a way to meet users where they are, inside the product, with guidance that feels personal and immediate. We see this as the future of how we can better support our customers.”

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Loopio Becomes the First Response Management Provider to Launch a Microsoft 365 Copilot Agent

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Loopio Becomes the First Response Management Provider to Launch a Microsoft 365 Copilot Agent

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New integration brings trusted Loopio content into the flow of work across Microsoft 365

Loopio, the leading response management platform trusted by enterprises, announced its release of the Loopio Copilot Agent for Microsoft 365, the first of its kind from any RFP software provider.

The Loopio Copilot Agent brings approved, trusted content from Loopio directly into the Microsoft 365 applications teams use every day, helping proposal and sales teams work faster without leaving their existing workflows.

The Loopio Copilot Agent brings approved, trusted content from Loopio directly into the Microsoft 365 applications teams use every day, helping proposal and sales teams work faster without leaving their existing workflows. This is especially crucial at a time when RFPs account for 40% of company revenue, raising the stakes for every response.

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With the Loopio Copilot Agent, users can search, summarize and transform proposal answers and sales responses in real time across Microsoft Teams, PowerPoint, Word, Outlook and OneNote.

“Loopio is building the transformative intelligence layer for revenue responses. As the first, and only, solution integrated with Microsoft 365 Copilot, we’re bringing trusted response knowledge directly into the modern AI workspace,” explains Eugene Ho, Chief Product Officer at Loopio. “This initial experience unlocks seamless access to the best answers today—and lays the foundation for agent-driven workflows that will transform how teams respond and win.”

Instead of switching between systems to find the right response, teams can access Loopio content in the flow of work, making it easier to maintain consistency, reduce friction and move opportunities forward. They can also add new content to Loopio for their peers to use—creating a powerful feedback loop.

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The launch also reflects Loopio’s deepening relationship with Microsoft and its broader strategy to build a connected ecosystem around the tools enterprise teams rely on most. Through the Microsoft Copilot ecosystem, Loopio is extending its response management capabilities into the applications where work already happens, from internal collaboration to customer-facing deliverables.

“Our partnership with Microsoft highlights how Copilot can unlock real productivity gains in day-to-day response workflows,” explains Beth Beese, Director of Partnerships at Loopio. “By using the Loopio Copilot agent, teams can harness AI to streamline complex questionnaires, maintain consistency and focus more time on strategic work. It’s a strong example of how Loopio’s commitment to our partner ecosystem is driving practical, enterprise-ready AI innovation.”

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Bond Launches the “Post-Feed” Social Network to Connect Your Memories

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Bond Launches the “Post-Feed” Social Network to Connect Your Memories

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Built by veterans of Google, Meta, and Twitter, Bond captures your memories and turns them into new discoveries

Bond, a new app built to capture your memories and make them useful, officially launched , introducing a “post-feed” era of social networking. Unlike legacy platforms designed to keep you addicted to screens, Bond has no ads, no follower counts, and no infinite feeds. Instead, the app turns your real-life experiences into interactive recommendations for what to do next.

At a time when people are overwhelmed by endless content and infinite choices, Bond offers an alternative. Each day, the average person spends more than 2 hours scrolling social platforms and 2 hours making basic life decisions. Bond shifts the focus from passive consumption and indecision to active creation by offering memory-based tools, measuring its success by the memories you make in real life rather than the time you spend in the app.

“Social networks were built as tools for connection, but evolved into the most toxic consumer product since the cigarette. They aren’t social anymore, they’re just designed to consume your life,” said Dino Becirovic, co-founder and CEO of Bond. “We built Bond to flip that dynamic. Instead of losing yourself in a feed, we help you capture your memories and use them to inspire what you do next.”

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Bond’s team has experience building the platforms that shaped the modern internet, including ChatGPT, Facebook, Google Gemini, Instagram, RedNote, TikTok, and Twitter. The company was founded by Dino Becirovic, who previously worked at Kleiner Perkins and Index Ventures, and as part of the Corporate Strategy team at Twitter; and Hanxin Jin, who previously served as the VP of International Product at Xiaohongshu and as an engineering lead at Meta. Bond’s founding researcher, Arthur Bražinskas, co-led efforts to incorporate user signals at Google Gemini. The company is backed by early-stage venture firms Caffeinated Capital, known for its investments in Affirm, Aven, and Notion, and RELENTLESS.

How Bond Works
Bond captures your memories and turns them into discoveries with a simple AI-native interface. To start, upload a photo and narrate the backstory via voice or text. The app transforms all your interactions into “memories” that save your experiences, facts, personality, and preferences. Memories are connected to inspire recommendations and generate answers. The more you interact with Bond, the better discoveries you make.

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Key features include:

  • Actionable Discovery – Use your memories to get personalized recommendations for you and your friends. Spend less time deciding and more time doing.
  • Performance-Free Sharing – Speak your mind and share what matters to you without the pressure of followers, likes, or feeds. Post for yourself first to capture memories, and then for friends.
  • Meaningful Connection – Connect with friends to participate in their memories, discover ideas together, and build bonds that carry over into real life.
  • Interactive Memory Archive – Explore the memories you capture, revisit past experiences, and identify new patterns in your life to live better.

“We collectively spent decades building platforms that prioritized engagement over people,” said Hanxin Jin, co-founder of Bond. “With Bond, we’re intentionally designing for the opposite. We put people first and are building a tool to empower their lives.”

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Hyland Introduces New Agentic and AI‑Driven Innovations to Turn Enterprise Content into Action

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Hyland Introduces New Agentic and AI‑Driven Innovations to Turn Enterprise Content into Action

Hyland’s latest technology updates embed content intelligence directly into core systems to drive governed automation across regulated industries

Hyland, a global leader in enterprise content management (ECM) the pioneer of the Content Innovation Cloud™, announced the company’s latest product offerings and enhancements that help organizations work more intelligently with content, modernize core systems, and prepare for AI‑driven automation. Together, these launches further enhance the Content Innovation Cloud with new industry‑specific solutions, enhanced AI content services, and platform updates that make it easier to unlock insights, streamline processes, and deliver better customer and employee experiences across regulated, content‑heavy industries.

“Organizations don’t need more disconnected AI tools; they need intelligence embedded where work actually happens,” said Michael Campbell, chief product officer at Hyland. “Our latest product innovations extend content management and AI directly into the systems our customers rely on every day, turning insight into action while preserving the governance, trust, and control required to operate at enterprise scale.”

“Hyland is moving beyond generic AI experiments to deliver agentic capabilities that act on governed enterprise content in the flow of real work,” said Alan Pelz-Sharpe, founder & principal analyst at Deep Analysis. “By grounding AI agents in a strong information architecture and domain specific content services, Hyland is helping customers shift from assistants that merely suggest to agents that can securely plan, decide, and act across complex, regulated processes.”

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Turning Content into Action

Together, these latest innovations reinforce Hyland’s commitment to helping organizations turn enterprise content into actionable intelligence. By embedding AI directly into business processes and building on a trusted content foundation, Hyland enables customers to modernize, automate, and prepare for the next wave of agentic automation, while making it easier to adapt, scale, and innovate with confidence.

Hyland Agentic General Ledger (GL) Coding moves organizations beyond static automation by embedding agent‑driven intelligence directly into real‑world accounts payable workflows, replacing manual GL coding with fast, explainable AI recommendations. With confidence-scored predictions, human-in-the-loop oversight, and broad enterprise resource planning (ERP) compatibility, it enables fast, consistent, and improved GL coding while strengthening financial controls and scaling across the invoice lifecycle.

Hyland for SAP S/4HANA delivers a clean‑core, Fiori‑native integration that embeds enterprise‑grade content management and process automation directly into SAP business processes. By providing secure, real‑time access to governed documents in context, it streamlines approvals, improves auditability and compliance, and supports a scalable, upgrade‑safe SAP environment without custom code or disruption.

Hyland for Workday Student extends cloud‑native content management directly into the student lifecycle, delivering document upload, search, and management capabilities within Workday Student workflows. Built as the definitive cloud integration for Workday and Hyland, it transforms student content into an AI‑ready state, reducing administrative burden while improving experiences for students, faculty, and staff.

Content Innovation Cloud Enhancements Advance AI‑Readiness and Agentic Automation

Additional enhancements across the Content Innovation Cloud continue to drive agentic automation, intelligent search, and AI‑readiness:

  • Hyland IDP: Introduces new usability, configurability, and accuracy enhancements that streamline document review, strengthen data quality controls, and provide richer operational insights through new out‑of‑the‑box dashboards.
  • Knowledge Discovery: Enables more secure, governed access to information across repositories using natural language, now with centralized guardrail management and improved model lifecycle handling to ensure agents remain aligned with supported AI models.
  • Knowledge Enrichment: Continues to transform unstructured enterprise content into structured, AI‑ready data, giving organizations more control over context enrichment so results better align with real domain needs.
  • Hyland Content Federation Service (CFS): Now offered within the Content Innovation Cloud, connecting OnBase, Alfresco, Nuxeo, Perceptive Content, and SharePoint 365 to cloud‑native AI solutions without requiring content migration.

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Platform Updates Improve Usability, Performance, and Interoperability

Hyland also released updates across its core content management portfolio:

  • PACSgear 25.2 advances healthcare content interoperability and workflow efficiency with Single Sign‑On support, expanded language options, improved job visibility, and more flexible DICOM search, helping imaging teams work more securely and efficiently.
  • Nuxeo 2026.1 introduces MongoDB Atlas Search for streamlined, lower‑complexity search while Nuxeo Online Services Connect now enables instant trial environment creation for faster demos, POCs, and training.
  • Alfresco 26.1 modernizes content architecture with future‑ready search, integrated process testing tools, and deeper enterprise application integration.
  • Perceptive Content 26.1 marks a major modernization milestone with a unified app experience, Content Federation Service connectivity, productivity enhancements, refreshed UI, and expanded security and platform support.

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AODocs Announces Collaboration with Microsoft Enabling AI-powered Enterprise Document Control and Management Natively within Microsoft 365

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AODocs Announces Collaboration with Microsoft Enabling AI-powered Enterprise Document Control and Management Natively within Microsoft 365

New native SharePoint Embedded support allows organizations to manage documents with AODocs while storing files directly within Microsoft 365’s security and governance boundaries

AODocs, a leading AI-enabled enterprise document management platform, announced a collaboration with Microsoft providing native support for SharePoint Embedded. It enables organizations to manage documents through AODocs while storing files directly within their own Microsoft 365 tenant.

The announcement introduces a new architecture for enterprise document management: organizations gain the governance, lifecycle control, and automation capabilities of AODocs while keeping their files inside the Microsoft 365 security and governance boundaries and storage space.

With this integration, documents managed by AODocs are stored in dedicated SharePoint Embedded containers within the customer’s Microsoft 365 tenant rather than in external repositories.

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As a result, enterprise content becomes natively stored in Microsoft 365 and accessible to its services, including Microsoft 365 Copilot, Microsoft Purview, Data Loss Prevention (DLP) policies, and real-time co-authoring in Microsoft 365 desktop applications. This allows organizations to apply AI, compliance, security, collaboration, and productivity capabilities directly to governed enterprise content.

“This integration marks a major step forward for organizations that rely on Microsoft 365,” said Stéphan Donzé, CEO of AODocs. “Companies no longer have to choose between enterprise-grade document management and the benefits of the Microsoft 365 ecosystem. With SharePoint Embedded, AODocs can manage documents with the automation and control businesses require while keeping those files securely inside their Microsoft 365 tenant—unlocking Microsoft 365 Copilot, Purview, and other capabilities in a single solution, without compromise.”

“AODocs brings significant value to the Microsoft ecosystem through scaled document management and control,” said Ian Story, Principal Architect, Microsoft SharePoint. “This offering, built on SharePoint Embedded, combines Microsoft 365, Purview, and Microsoft 365 Copilot platforms with AODocs’ enterprise-centric AI-powered content processes.”

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AODocs Benefits for Microsoft 365 Customers

AODocs is trusted by organizations including Veolia, Whirlpool, and Colgate-Palmolive and thousands of companies worldwide to manage critical business documents and processes. The new SharePoint Embedded integration extends these capabilities inside Microsoft 365, delivering several key benefits for enterprise customers:

  • Enterprise document governance with native Microsoft 365 storage: Files are managed through AODocs governance, automation, and lifecycle controls while remaining stored inside the organization’s Microsoft 365 tenant. This ensures complete control over storage location, governance, and compliance.
  • Copilot-ready enterprise content: Because files remain within the Microsoft 365 security boundary, Microsoft 365 Copilot can access governed enterprise content without data bridging, duplication, or additional configuration.
  • Unified compliance with Purview and DLP: Documents stored through SharePoint Embedded automatically inherit Purview and Data Loss Prevention (DLP) policies, enabling organizations to apply enterprise compliance frameworks without additional integration work.
  • Fast deployment through a modern SaaS architecture: AODocs operates as a true SaaS platform with no Windows server administration requirements. It can seamlessly manage migrations from existing SharePoint environments to SharePoint Embedded.

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Syntax Partners with Rio2 to Accelerate Gold Mining with SAP Transformation

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Syntax Partners with Rio2 to Accelerate Gold Mining with SAP Transformation

Syntax helps junior miner unify global operations with SAP Cloud ERP and connected SAP cloud solutions; Rio2 to share transformation journey at SAP Sapphire 2026

Syntax, a leading global technology solutions provider driving enterprise transformation in the cloud, announced the successful completion of an SAP transformation for Rio2 Limited (“Rio2”), delivering a future-ready digital core that has enabled the junior mining company to transition efficiently from construction to full operations at its Fenix Gold Mine in Chile within a year.

Guided by Syntax, Rio2—a precious metals and copper producer headquartered in Canada with operations in Chile and Peru—modernized its business with SAP Cloud ERP and connected SAP cloud solutions, including SAP Analytics Cloud, SAP Document Compliance, and Concur ExpenseIt. The transformation replaced fragmented, manual processes with a unified cloud platform connecting finance, procurement, and project accounting across the company, delivering real-time financial visibility, streamlined compliance, and operational agility.

“Syntax’s mining sector and SAP expertise were instrumental to our success,” said Kathryn Johnson, Executive Vice President, Chief Financial Officer and Corporate Secretary at Rio2. “They helped us turn an ambitious transformation into a fast, practical deployment—connecting teams across three countries and giving us the 24/7 visibility, control, and agility we need to grow.”

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Accelerating Gold Development

When the approval for construction and operation of Rio2’s 100%-owned Fenix Gold Mine in Chile was secured, the company moved quickly to accelerate the implementation—aligning teams across Canada, Chile, and Peru working in a complex, multi-currency regulatory environment.

At the time, financial and project data were scattered across disconnected spreadsheets and manual workflows. To move forward in an organized manner, Rio2 needed a unified cloud platform to provide real-time insight, consistent governance across jurisdictions, and a scalable foundation for growth. It also needed an enterprise-wide software platform that could be implemented fast to allow the construction of the Fenix Gold Mine in Chile to be managed efficiently, on time, and on budget.

In partnership with Syntax, Rio2 adopted a clean-core, cloud-first strategy aligned with SAP best practices, implementing SAP Cloud ERP in just six months using standard templates and native localizations. Additionally, Rio2 integrated SAP Analytics Cloud, SAP Document Compliance, and Concur ExpenseIt to digitize reporting and regulatory workflows. The result: real-time visibility into costs and cash flow; audit-ready, multi-currency, and multi‑GAAP compliance from day one; and a scalable platform for future growth and innovation.

“By adopting SAP Cloud ERP completely out-of-the-box, we built enterprise-grade financial control and transparency without adding complexity,” added Johnson. “For a diversified producer, that discipline has been transformational—it proved we can operate with the governance and speed of much larger organizations.”

Tangible business outcomes include:

  • 40% faster financial close with real-time reporting across three countries
  • 30% shorter procurement cycles through automated workflows
  • 20% efficiency gain for finance teams driven by standardized processes and automation
  • 25% improvement in on-time delivery of equipment

“We’re committed to supporting Rio2 in building a digital foundation that matches its ambition,” said Michelle Smith, Vice President of Global Mining Practice at Syntax. “With a modern cloud ERP backbone in place, Rio2 combines enterprise-grade discipline with the agility to move fast and is ready to unlock new efficiencies and innovation through AI in its next phase of growth.”

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Rio2 to Share Its Cloud Journey at SAP Sapphire 2026

Christopher Diaz, Senior Vice President of Finance at Rio2, will share the company’s SAP cloud journey at SAP Sapphire 2026, May 11-13, in Orlando, Florida. On Wednesday, May 13, Chris will join an executive roundtable led by Santina Franchi, President, SAP Corporate Segment & GROW. The panel will explore why organizations are choosing SAP Cloud ERP and how it is becoming the foundation for their AI strategies. Chris will highlight Rio2’s experience—from the decision to go cloud-first with SAP, to how its digital core is positioning the company to harness AI-driven innovation as it scales.

Syntax will be present at SAP Sapphire 2026. Visit Booth #423 or Syntax at SAP Sapphire 2026 to learn more about how Syntax is helping customers accelerate their SAP Cloud ERP transformations and unlock the full potential of AI across their operations.

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Aravo Launches Aravo AI to Automate Third-Party Risk Workflows

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Aravo Launches Aravo AI to Automate Third-Party Risk Workflows

New embedded agents streamline risk processes and deliver real-time answers, enabling faster, more transparent decision-making across risk and compliance programs

Aravo, a leading provider of third-party risk and resilience solutions, announced the launch of Aravo AI, a native AI capability embedded within its Intelligence First™ Platform. Aravo AI introduces a set of AI agents built directly into third-party risk workflows, enabling organizations to automate manual processes, access real-time insights, and make decisions with full transparency and auditability.

Risk and compliance teams are under pressure to assess more third parties, respond faster to disruptions, and keep up with changing regulations. These programs operate at a scale that exceeds human capacity, with thousands of suppliers, fragmented workflows, and growing complexity across risk domains. This is why third-party risk management (TPRM) is one of the clearest use cases for AI. The work is data-heavy, time-sensitive, and tied directly to business outcomes.

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Many AI solutions are trained on generalized or disconnected datasets, limiting their reliability in high-stakes environments. They often sit outside core systems, lacking the data and workflow context needed to support real decisions. This gap is reflected in the broader market, where few organizations are connecting AI across workflows and functions, which according to PwC, is where the real value is realized. Aravo AI is different. It is built on a structured system of record with embedded workflows shaped by decades of enterprise use, so decisions are grounded in real, governed data, not disconnected inputs.

Rather than relying on point-in-time reviews and manual coordination, teams can use Aravo AI to run more continuous processes that adjust as new risks and requirements emerge. This makes evaluations more consistent and improves the quality of the data behind decisions. Teams can also review, challenge, and override AI outputs at any point, with clear visibility into the data and sources behind each recommendation so they can reduce manual work and instead focus on judgment and decision-making.

“Third-party risk management leaders are both excited and cautious about AI,” said Dean Alms, chief product officer at Aravo. “They see the potential to automate work and move faster, but they also need to trust how decisions are made. Aravo AI is built for that reality, combining real workflow impact with the transparency and control required in risk and compliance.”

Aravo was recently named a Leader in the latest 2026 Gartner® Magic Quadrant™ for Third-Party Risk Management Tools for Assurance Leaders, which we think reflects a broader shift toward integrated platforms and AI-driven capabilities. As AI becomes a key differentiator in TPRM, the report underscores the importance of embedded, contextual intelligence, which Aravo AI is designed to deliver.

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Aravo AI brings AI directly into third-party risk workflows through a combination of automated execution and real-time insight, and a new, intuitive user interface including:

  • Workflow agents for automated execution. These agents run automatically within existing processes to handle time-consuming tasks. This includes Survey Agents that review documents and prefill assessments with cited sources and confidence levels, Remediation Agents that suggest corrective actions, and Decision Agents that guide and automate risk decisions.
  • Interactive agents for on-demand insight. Available within AI Canvas, these user-facing agents provide real-time visibility into third-party risk. They help teams navigate the platform, assess supplier risk, and answer questions about program data. This includes a Navigation Agent, a Risk Expert Agent, and a Data Query Agent.
  • AI Canvas, a central workspace for real-time answers. A single place where users can ask questions about their third-party risk management program and get immediate answers based on live data, without leaving their workflow.
  • AI Studio for customization. This is a no-code environment where teams can create new agents or modify existing ones to match their policies and workflows. Teams can also choose which LLMs power their agents, giving them flexibility in how results are generated and aligned to their internal requirements.

Aravo AI is expected to change how third-party risk management programs mature. Instead of operating as manual, reactive functions, teams can move toward more continuous, adaptive approaches that evolve as risks and requirements change, making third-party risk management a more strategic function within the business.

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Capacity Acquires Lang.ai, Adding Agentic AI Analytics to Its Support Automation Platform

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Capacity Acquires Lang.ai, Adding Agentic AI Analytics to Its Support Automation Platform

Capacity, the AI-powered support automation platform used by more than 20,000 companies, announced the acquisition of Lang.ai, a San Francisco-based AI analytics company that turns unstructured customer data into actionable intelligence using agentic LLM technology.

The acquisition brings Lang.ai’s technology, team and customer base into Capacity, strengthening its AI analytics and agentic capabilities across the entire customer experience journey.

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Agentic Analytics That Take Real Action

Lang.ai pioneered agentic analytics for CX — AI agents that enable teams to chat with their data (structured or unstructured) and deliver deep insights that inform business decisions. The company serves enterprise customers, including Tinder, Dycom and Rue Gilt Groupe, solving a problem every CX team faces: turning massive volumes of customer conversations into intelligence fast enough to act on.

“Lang.ai has evolved through every wave of AI — from NLP to LLMs to agents — and each time, Jorge and his team built products that actually worked in production, not just in demos,” said David Karandish, CEO of Capacity. “By bringing their agentic analytics into the Capacity platform, we’re enhancing our customers’ ability to not only automate support, but to truly understand and continuously improve the entire customer experience in real time just by interacting with  their data.”

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“We built Lang.ai to turn messy customer data into decisions you can trust,” said Jorge Penalva, Founder and CEO of Lang.ai, who joins Capacity to lead AI analytics and evaluation. “Capacity gives us the scale to bring that to thousands of companies. That’s what made this the right next step.”

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Stelo Expands Support for Microsoft Fabric to Enable Real-Time Data Pipelines for Analytics and AI

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Stelo Expands Support for Microsoft Fabric to Enable Real-Time Data Pipelines for Analytics and AI

Organizations can stream operational data from enterprise systems into Microsoft Fabric in near real time without rebuilding pipelines or disrupting production systems.

Stelo, a leader in enterprise data replication, announced expanded support for Microsoft Fabric, enabling organizations to stream live data into Microsoft Fabric in near real time to power analytics, AI, and enterprise reporting.

As organizations adopt Microsoft Fabric to unify their data and analytics environments, many face challenges delivering live data from operational systems into Microsoft Fabric. Stelo addresses this gap by providing near real-time data replication from more than 30 sources into Microsoft Fabric, without introducing additional complexity.

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Stream Live Data into Microsoft Fabric

Stelo is a no-code data replication platform designed to move data from anywhere to anywhere. With support for Microsoft Fabric, Stelo enables organizations to stream live data into Microsoft Fabric in near real time, supporting analytics, AI, and enterprise reporting use cases.

Teams can deploy Stelo through a web-based interface and begin replicating data from sources such as Db2, PostgreSQL, SQL Server, and others into Fabric without disrupting production workloads. Stelo’s architecture runs independently of source systems, typically using less than 1% CPU, allowing organizations to scale data pipelines without impacting operations.

Built for Performance, Flexibility, and Control

Stelo provides flexible deployment options across on-prem, cloud, and hybrid environments, aligning with enterprise governance and modernization strategies. Its tunable streaming capabilities allow teams to balance latency and compute usage, giving IT leaders greater control over performance and cost as Fabric initiatives scale.

Unlike more complex integration approaches, Stelo eliminates the need to rebuild existing pipelines or introduce additional tooling. Organizations can extend their current data architecture to Microsoft Fabric while maintaining stability and predictability. Stelo enables organizations to extend their existing data architecture to Microsoft Fabric without rebuilding pipelines or disrupting production systems.

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Available Through Azure Marketplace

As a Microsoft Solutions Partner, Stelo is available through Azure Marketplace, enabling organizations to procure and deploy Stelo within their existing Microsoft environment. This simplifies purchasing, aligning with cloud investment strategies and accelerating adoption for teams standardizing on Microsoft technologies.

“As organizations turn to Microsoft Fabric to modernize how they deliver analytics and AI,” said Jessica Sheridan, CEO of Stelo, “Stelo ensures their data is available in near real time, without adding complexity or disrupting production systems.”

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Snowflake Expands Snowflake Intelligence and Cortex Code to Power the Control Plane for the Agentic Enterprise

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Snowflake Expands Snowflake Intelligence and Cortex Code to Power the Control Plane for the Agentic Enterprise

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Snowflake delivers agentic AI for both business users and builders on a single platform with Snowflake Intelligence and Cortex Code

  • Snowflake Intelligence transforms how business users turn insights into action through a personalized, context-aware AI agent grounded in enterprise data

  • Cortex Code enables builders to move faster from code to production with AI-powered development across systems, tools, or environments

  • Leading enterprises like Capita, Logitech, Telenav, United Rentals, and Wolfspeed are moving AI from experimentation to production on Snowflake’s unified, governed platform

Snowflake , the AI Data Cloud company, announced significant updates across Snowflake Intelligence and Cortex Code, advancing its vision to become the control plane for the agentic enterprise. As AI systems evolve from answering questions to taking action, these enhancements enable organizations to connect even more data sources, enterprise systems, and AI models with their trusted Snowflake data within a unified experience. This allows enterprises to align their data, tools, and workflows with AI agents built on Snowflake — enabling more seamless action on data that reflects how their business actually runs.

Snowflake Intelligence now serves as a personal work agent for business users that adapts over time by learning individual preferences and workflows to deliver more relevant results and automate tasks — all while enabling deep, trusted insights grounded in governed enterprise data. In addition, Cortex Code is expanding as a builder layer for enterprise AI, bringing governed, data-native development across the enterprise data ecosystem so builders can create, orchestrate, and operationalize AI directly within the tools and systems they already use.

These purpose-built agents support a diverse set of users and use cases across technical and business teams, centralizing how organizations govern, connect, and orchestrate their data, models, and enterprise apps — cementing Snowflake as the control plane for enterprise AI.

“AI is changing how every company operates, and the platforms that win will make it easy to put AI into practice with the right data and guardrails,” said Baris Gultekin, VP of AI, Snowflake. “Snowflake gives customers one place to bring their data together, connect the systems they rely on, and turn AI into something that actually helps teams get work done.”

Snowflake Intelligence Moves Work Forward for Business Users

Unlike other copilots and AI assistants on the market, Snowflake Intelligence understands the full context of organizations’ business data and is enterprise-ready with trust, governance, and security capabilities at the forefront. With the latest updates, Snowflake Intelligence provides a unified experience where users can interact with data, reason over it, and take action across enterprise systems.

At the core of this evolution will be several key advancements:

  • Automate routine tasks: Skills (generally available soon) allow users to describe workflows in natural language — such as preparing presentations, conducting multi-step analysis, or sending follow-ups — and Snowflake Intelligence executes them automatically, eliminating manual work and making it easy to repeat and share.
  • Connected to your tools and work: New Model Context Protocol (MCP) connectors (generally available soon) allow Snowflake Intelligence to connect directly with enterprise tools like Gmail, Google Calendar, Google Docs, Jira, Salesforce, and Slack so users can operate across the systems they already use.
  • Mobile app for on-the-go access: Users can download the new Snowflake Intelligence iOS mobile app (public preview soon) to ask questions and take action on their data and workflows from anywhere.
  • Multi-step reasoning with deep research: With deep research (public preview soon), Snowflake Intelligence helps users answer their most complex questions with fully cited, multi-step reports. It uses an agentic architecture to reason across structured data, unstructured content, and external context, complementing extended thinking’s precise answers with deeper analysis so users can understand not just what’s happening, but why and what to do next.
  • Personalized over time: Instead of starting from scratch each time, Snowflake Intelligence now continuously learns from user behavior to deliver more relevant, personalized responses and automate recurring tasks so that teams can move faster.
  • Reusable, shareable work: Artifacts (generally available soon) allow users to save and share analyses, visualizations, and workflows with each other, turning one-off outputs into reusable knowledge so teams can build on each other’s work and scale insights across the organization.

These updates to Snowflake Intelligence are shaped by direct customer feedback and insights from the research preview launch of Project SnowWork last month. Snowflake is actively engaging with customers to understand their AI needs and build capabilities that can be integrated into its AI systems for the broader ecosystem to benefit.

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Cortex Code Provides One AI Coding Agent for the Enterprise Data Stack

Cortex Code is expanding to support builders working across increasingly complex, multi-system data environments. Since launching in November 2025, Cortex Code has seen rapid adoption, with more than 50 percent of customers now actively leveraging it for accelerated productivity and innovation. With new cross-platform capabilities, deeper integrations, and native development experiences, Snowflake is bringing governed, AI-powered development to even more users across the enterprise data ecosystem.

These updates extend Cortex Code across the modern data stack, enabling builders to:

  • Build wherever data lives: Cortex Code now supports even more external data systems including AWS Glue, Databricks, and Postgres, extending Snowflake’s data-native intelligence and continuing to deliver on its vision to support any data, anywhere.
  • Connect to the broader AI ecosystem: Cortex Code now plugs into other AI systems through the MCP and Agent Communication Protocol (ACP), allowing builders to interface with Cortex Code from their existing AI agents and workflows — reducing duplication and speeding up development.
  • Work within a preferred development environment: With the new VS Code extension (in private preview) and a Claude Code plugin, builders can access Cortex Code directly in their integrated development environments so they can build and work within their preferred editor or AI coding environment without switching tools.
  • Scale with the Cortex Code platform: A new Agent Software Development Kit with support for Python and TypeScript enables teams to integrate Cortex Code’s capabilities directly into their own apps and workflows — moving Cortex Code from a standalone tool to a platform other systems can build on.
  • Unlock smarter workflows with Cortex Code in Snowsight: With Cloud Agents (in private preview), users can run code and execute workflows directly in their browser, extending the capabilities of Cortex Code beyond the CLI into a fully managed cloud environment — no local setup required. New enhancements including Plan Mode lets users preview and approve workflows before execution, while Snap & Ask enables direct interaction with data artifacts like charts and tables to improve accuracy and give teams more control over how work gets done.

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Snowflake’s Continued AI Momentum

Over 9,100 customers use Snowflake’s AI products on a weekly basis, and that number continues to grow as enterprises move from AI experimentation to real-world deployment. Customers and partners across industries are using Snowflake Intelligence and Cortex Code together to accelerate how they build, deploy, and operate AI:

  • “As Snowflake’s leading global partner for Cortex Code and Snowflake Intelligence, Accenture is driving AI-powered transformation across the enterprise, redefining how businesses interact with their AI-ready data estates,” said Sree Vadakkepat, Snowflake Business Group lead, Accenture. “Today, we have thousands of Accenture practitioners that are active on the platform, delivering use cases across numerous client accounts, and leveraging nearly two dozen purpose-built skills spanning SQL development, notebooks, and semantic modeling. We’re not just adopting these capabilities — we’re embedding them into how we deliver for clients at scale, enabling organizations to interact with their data through natural language and accelerate AI-driven business outcomes.”
  • “Snowflake provides the data and intelligence foundation behind Capita’s AI Catalyst Stack, enabling us to bring together fragmented operational data and deliver real-time, natural-language insights across the public service contact centres we run and the private sector contact centres we help transform,” said Sameer Vuyyuru, Chief AI and Product Officer, Capita. “With Snowflake Intelligence, we’re accelerating decision-making, reducing operational overhead, and unlocking meaningful efficiencies for our clients and our own operations. At the same time, Snowflake helps us deploy AI securely and with the right governance across highly regulated, citizen-facing services where performance, compliance and trust are critical.”
  • “Snowflake Intelligence has given our data a trustworthy voice, and Cortex Code is driving significant productivity gains in how we work with it,” said Kumar Maddali, VP of Product Development, Telenav. “At Telenav, we process over 20 terabytes of data per month and more than 200 million events per day. What once took days to weeks to move from raw data to insights can now be done in minutes to hours through a conversational, self-service experience. Together, we are accelerating how we turn complex data into real-time intelligence and make faster, more informed decisions across the business.”
  • “With Snowflake Intelligence, our teams across more than 1,600 locations can use natural language to better understand operational performance and access real-time insights without relying on analysts,” said Tony Leopold, Chief Technology and Strategy Officer, United Rentals. “This is accelerating decision-making and creating stronger alignment across the business, grounded in a single source of governed data. Looking ahead, Cortex Code is helping us build and scale AI agents to accelerate sales growth and improve fleet availability, advancing how we operate every day.”
  • “​​Snowflake has become a core part of how we’re applying AI across our operations. With Snowflake Intelligence, our teams can analyze manufacturing performance, surface insights faster, and even anticipate equipment and process issues before they happen,” said Priya Almelkar, CIO, Wolfspeed. “We’ve already deployed dozens of AI agents across manufacturing, quality, supply chain, and finance, giving teams faster access to trusted data and critical knowledge. This is helping us improve efficiency and accelerate insights enabling faster actions on the factory floor. It’s a meaningful step forward in how we operate and scale as a business.”

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impact.com Expands YouTube Collaboration as Creator Partnerships API Early Adopter, Powering End-to-End, Performance-Driven Creator Campaigns

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impact.com Expands YouTube Collaboration as Creator Partnerships API Early Adopter, Powering End-to-End, Performance-Driven Creator Campaigns

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Early integration gives brands a direct way to discover creators, activate sponsorships, and measure performance using trusted, first-party data

impact.com, the world’s leading commerce partnership marketing platform, announced it is expanding its collaboration with YouTube as an early adopter of the YouTube Creator Partnerships API, giving brands and agencies another direct, reliable way to manage creator marketing campaigns on YouTube.

“Creator marketing has become a critical growth channel, but it hasn’t always come with the transparency and measurement brands expect from other media,” said Max Ciccotosto, Chief Product Officer at impact.com. “

The integration enables brands to discover creators, manage sponsorships, and measure performance in one place using verified, creator-consented data. This provides brands with more reliable, first-party insights, helping them better evaluate and select creators while improving confidence in campaign measurement.

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As creators become a core part of the media mix, brands are expressing increasing desire to treat creator marketing like any other performance channel, with clear visibility into who drives results and why. At the same time, as discovery shifts toward AI-driven recommendations and answer-based experiences, the role of creators is expanding. Creator content not only influences decisions, it increasingly determines how brands are discovered in the first place.

impact.com’s integration with YouTube addresses both of these shifts by giving marketers direct access to real audience insights and performance data, enabling better partner selection and clearer performance attribution.

“Creator marketing has become a critical growth channel, but it hasn’t always come with the transparency and measurement brands expect from other media,” said Max Ciccotosto, Chief Product Officer at impact.com. “As creators evolve into true media partners, brands need better data and clear performance insight. By expanding our collaboration with YouTube, we’re enabling marketers to identify what works, select the right partners, and scale with confidence.”

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Through the integration, brands and agencies can:

  • Find the right creators using verified, opt-in audience and engagement data, eliminating reliance on estimated metrics and improving outcomes from the start
  • Manage campaigns end-to-end by streamlining discovery, activation, and reporting, reducing manual work, improving accuracy, and maintaining compliance
  • Make smarter investment decisions with clear visibility into content performance – understanding what resonates with audiences and how organic and paid efforts drive results, maximizing ROI and scaling what works

The announcement reflects a broader shift in the creator economy, where creators are no longer just top-of-funnel, but measurable drivers of business outcomes. By integrating directly with YouTube’s Creator Partnerships API, impact.com helps brands move from fragmented workflows and estimated metrics to a unified, data-driven approach.

The integration also enhances creator discoverability, helping brands more easily find and partner with the right creators while enabling secure sharing of performance data to demonstrate value and unlock new partnership opportunities.

Looking ahead, impact.com will expand its capabilities to include content amplification, enabling brands to convert top-performing creator content into paid media, extend reach, and maximize ROI. As creator marketing becomes increasingly performance-driven, this provides enterprise teams a clear path to scale what works and compete more effectively.

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OpenX Advances Intelligent SSP Strategy with Key Leadership Appointments Across Product, Partnerships and Curation

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OpenX Advances Intelligent SSP Strategy with Key Leadership Appointments Across Product, Partnerships and Curation

OpenX

OpenX, The Intelligent SSP, announced the appointment of Lior Charka as VP, Product, alongside the promotions of Joseph Worswick to SVP, Global Partnerships, and Erika Loberg to VP, CTV and Curation. These leadership updates reflect OpenX’s continued investment in simplifying advertising by bringing greater intelligence to the supply side.

To deliver on this strategy, OpenX is strengthening its leadership across partnerships, CTV, and product to reduce ecosystem complexity, making it easier for brands to find and reach their audiences without sacrificing user privacy or performance.

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Joining OpenX as VP, Product, Charka will lead the continued innovation of OpenXSelect™, with a focus on simplifying complex curation workflows through AI. By building intelligence into every stage of the curation process, OpenX aims to help customers achieve higher quality and performance while reducing the effort required to activate and optimize campaigns. Charka joins OpenX with more than 15 years of experience in digital advertising and product leadership, including key roles at Outbrain and Teads.

“Lior brings a deep understanding of product innovation and a strong track record of building solutions that drive real business outcomes,” said Joel Meyer, CTO at OpenX. “As curation becomes increasingly central to programmatic performance, his expertise in building intelligence into the curation process will simplify access to high-quality media and data to drive performance.”

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In his expanded role as SVP, Global Partnerships, Worswick will lead OpenX’s global partnerships strategy across agencies, brands, and strategic partners, including data providers, AI-driven companies, and retail and commerce media platforms. Since joining OpenX in 2023, Worswick has been instrumental in building OpenX’s global SPO and commercial agreements practice and will now focus on unifying partnership efforts across the business to accelerate collaboration, break down silos, and drive stronger outcomes across all sides of the ecosystem.

Loberg, who has been promoted to VP, CTV and Curation, will build on her success scaling OpenX’s CTV business to lead the company’s broader curation strategy across all formats. Under her leadership, OpenX has established a leading position in CTV with TV by OpenX, delivering high-quality inventory and audience addressability in biddable environments. In her expanded role, Loberg will focus on advancing OpenXSelect and OpenXBuild™, helping buyers leverage supply-side targeting to drive measurable performance and unlock greater value from programmatic investments.

“Joe and Erika have each played a critical role in shaping our business and delivering meaningful impact for our partners,” said Tyler Romasco, EVP, Commercial at OpenX. “Joe’s leadership in building our global partnerships foundation and Erika’s success in scaling our CTV and curation capabilities have fueled growth at OpenX. As we continue to evolve, their expanded roles will help us move faster, operate more cohesively, and deliver even greater value across the ecosystem.”

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NIQ and Stirista Announce Collaboration to Advance Privacy-Safe Audience Solutions

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NIQ and Stirista Announce Collaboration to Advance Privacy-Safe Audience Solutions

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Relationship aligns purchase-based intelligence with data-driven activation capabilities to support more effective advertising planning and activation

NIQ, a leading consumer intelligence company, and Stirista, a provider of identity-driven marketing solutions, announced a strategic collaboration to develop new audience solutions, media planning capabilities, and activation use cases for advertisers and brands.

Through the relationship, NIQ and Stirista will enhance their abilities to develop robust audience definitions, improve campaign planning, and support marketing performance across channels. The collaboration also enables marketers to harness modeled intent data and purchase-based insights to activate campaigns through Stirista’s platform.

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As part of the relationship, NIQ will use insights informed by the collaboration with Stirista to advance its consumer research and analytics, strengthening how it supports audience design and planning. Specifically, Stirista will contribute privacy-safe consumer insights related to mobile device usage, professional status, and digital media consumption. Informed by these insights, NIQ will enhance its audience design and segmentation capabilities within its privacy-safe consumer framework.

“Today’s advertisers need to move seamlessly from insight to action without compromising privacy,” said Josh Pisano, General Manager of Global Media, NIQ. “By combining NIQ’s intelligence with Stirista’s activation platform, we’re enabling brands to plan smarter and activate with greater confidence across the media ecosystem.”

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NIQ will provide Stirista with aggregated, omni-channel shopper insights. That intelligence strengthens Stirista’s identity-based insights and informs activation workflows within Stirista’s platform, allowing marketers to reach audiences across CTV, email, and digital without needing to rebuild them across systems.

“By leveraging NIQ’s purchase-based insights, Stirista can better design audiences and activate them through its platform and partners, particularly for CPG brands,” said Ajay Gupta, Stirista CEO and Founder. “These audiences are informed by consumer purchase insights that complement our modeled intent signals, enabling more effective targeting across programmatic media and targeted email campaigns.”

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Pipedrive ranked #1 in Lead Management and Small Business CRM by SoftwareReviews

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Pipedrive ranked #1 in Lead Management and Small Business CRM by SoftwareReviews

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Pipedrive, the easy and intelligent CRM for small and medium-sized businesses, has been recognized by SoftwareReviews with top rankings across Lead Management and Customer Relationship Management (CRM) categories, based on verified user feedback.

Pipedrive has been recognized by SoftwareReviews with top rankings across Lead Management and Customer Relationship Management (CRM) categories, based on verified user feedback.

In the latest SoftwareReviews rankings, Pipedrive achieved:

#1 in Lead Management (score 9.0)
#1 in CRM for Small Businesses (score 9.0)
#3 in CRM for Midmarket (score 9.1)

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These rankings are based on direct feedback from verified users and evaluate key factors including product capabilities, ease of use, vendor support, and overall customer satisfaction.

“These recognitions reflect the real experiences of sales teams using Pipedrive every day,” said Sean Evers, VP of Sales & Partner at Pipedrive. “Being ranked #1 in both Lead Management and Small Business CRM shows that we are delivering strong outcomes where it matters most – helping teams capture leads, manage pipelines, and close deals more efficiently. Our focus is to build a CRM that combines simplicity with intelligent capabilities, so customers can make faster, better decisions without added complexity.”

SoftwareReviews, a division of Info-Tech Research Group, evaluates software through in-depth surveys of end users. Its methodology prioritizes real-world user experience, including satisfaction, feature performance, and vendor relationship quality.

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Pipedrive’s #1 ranking in Lead Management highlights its ability to help businesses capture, organize, and convert leads effectively. Its strong performance across both small business and midmarket CRM categories demonstrates that the platform scales with growing teams while maintaining ease of use.

As sales environments become increasingly data-driven and AI-enabled, Pipedrive continues to invest in intelligent features that reduce manual work and improve decision-making. The company’s approach focuses on delivering practical, user-centered innovation that supports everyday sales workflows.

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Visme’s New Microsite Builder Cuts the Developer Bottleneck Out of Content Publishing

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Visme's New Microsite Builder Cuts the Developer Bottleneck Out of Content Publishing

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Visme, introduces its new Microsite Builder, closing the gap between content creation and web publishing so teams can design and go live without bottlenecks.

Visme, the platform where marketing teams and businesses design, build, and publish content without leaving their workflow, announces the launch of its new microsite builder, enabling teams to turn their content into fully functional web experiences without relying on developers or multiple tools.

As marketing teams face increasing pressure to move faster and create more content across channels, the gap between content creation and web publishing has become a bottleneck. Visme’s microsite builder addresses this challenge by allowing teams to design and publish interactive web pages directly within the same platform they use for visual content.

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“Marketing teams are judged on speed and impact. Every day spent waiting on a developer to publish a landing page is a day your campaign isn’t running. We built this so that gap simply doesn’t exist anymore,” states Thera Martens, VP of Marketing at Visme.

With its design-first approach, Visme enables users to create microsites that are both visually engaging and functionally robust. From campaign landing pages to resource hubs and product showcases, teams can build pages that combine storytelling, interactivity, and conversion-focused design.

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The microsite builder introduces several capabilities designed to streamline workflows:
● Unified Creation & Publishing: Design and launch pages in one platform
● Section-Based Layout Control: Easily structure and modify page content
● Built-in Interactivity: Use animations, transitions, and dynamic elements
● Mobile Optimization: Automatically responsive across devices
● Secure Hosting & Access Controls: Publish public or private microsites

By removing technical barriers and consolidating workflows, Visme is now the place where content is created, built into experiences, and published without a single handoff. The microsite builder is now available across Visme’s platform. Users can start building and publishing microsites today.

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

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

digna Platform – AI-Driven Data Quality & Observability | On-Premises & Private Cloud - Documentation | Data Quality & Data Observability Platform | digna

New release enables in-database time-series analysis and scalable validation, supporting enterprise data governance and reliability

digna has announced the release of version 2026.04 of its Data Quality & Observability Platform, introducing expanded time-series analytics capabilities and new approaches to scalable data validation designed for enterprise data environments.

The combination of integrated analytics and scalable validation reflects increasing demand for platforms that support both data reliability and a deeper understanding of data behavior”

— digna

As organizations across financial services, fintech, and enterprise sectors continue to scale their data platforms, understanding how data behaves over time has become increasingly important. The latest release reflects a shift from static monitoring approaches toward behavioral analysis that enables teams to interpret trends, patterns, and structural changes in data.

With the introduction of a new Analytics Chart, digna enables users to perform time-series analysis directly within the platform. Built-in methods include linear, quadratic, and cubic regression, piecewise regression with configurable breakpoints, smoothing techniques, quantile analysis, and residual analysis. The platform also automatically identifies trends, seasonal patterns, and changes in data behavior.

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By integrating analytics directly into the data environment, organizations can analyze data without exporting it to external tools or relying on separate data science workflows. This approach supports faster investigation of anomalies while maintaining control over data within enterprise environments.

In addition to analytics enhancements, the release introduces new capabilities in data validation aimed at improving consistency and scalability across complex data landscapes. These include reusable validation rule templates and centralized enumerations for defining allowed values across datasets and systems.

All validation checks are executed directly within the source database, supporting performance, security, and governance requirements in regulated environments. This in-database approach allows organizations to enforce data quality standards without moving sensitive data outside controlled environments.

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The release also introduces statistic-level relevance conditions, enabling teams to define when specific metrics should be considered relevant for anomaly evaluation. This helps reduce noise and ensures monitoring systems focus on meaningful deviations.

According to digna, the combination of integrated analytics and scalable validation reflects increasing demand for platforms that support both data reliability and deeper understanding of data behavior across enterprise systems.

As data infrastructures continue to grow in complexity, enabling teams to analyze and validate data within the same environment is becoming critical for maintaining operational stability and supporting decision-making.

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zMaticoo Launches Model Context Protocol (MCP), Enhancing AI Access to Business Data

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zMaticoo Launches Model Context Protocol (MCP), Enhancing AI Access to Business Data

zMaticoo just unveiled its Model Context Protocol (MCP)—a technological innovation redefining AI’s access to business data!

Built on our Open API and optimized for AI scenarios, MCP upgrades traditional API calls to tool-oriented capabilities, equipping LLMs with dedicated business data access channels to read, write and operate ADX/DSP data using natural language.

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Easy access with natural language: Retrieve ADX/DSP reports via AI agents using simple natural languege, no coding required.

Secure & efficient core tools: adx-report/dsp-report with token-based authorization for protected, fast data queries

Simplified integration: 3-step standard process + one-click Agent access for zero-fuss onboarding

Keeping up with AI era: Aligned with the new MCP paradigm for internet product design, empowering our clients with cutting-edge AI+business capabilities

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zMaticoo’s MCP is now live for integration. Connect with your dedicated business contact to get your token and unlock the future of AI-driven business data operations.

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Advertising Professionals Believe Traditional Agency Model is Broken or Will Be Within 3-5 Years

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Advertising Professionals Believe Traditional Agency Model is Broken or Will Be Within 3-5 Years

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Basis 2026 Advertising Agency Report Illustrates How AI, Transparency, Process and Other Factors are Converging to Make Work More Difficult for Advertising Professionals

Basis (https://basis.com), the leading intelligent operating system for autonomous advertising, today announced survey results showing that 87% of agency professionals believe the traditional agency model is either broken or will be within 3-5 years. The sentiment is even stronger among senior leaders, with 92% of agency decision-makers believing this to be the case. The Basis 2026 Advertising Agency Report is an annual study of 200+ advertising professional respondents that reveals an industry under intensifying strain and rapid evolution, with AI playing a significant role. Download the full report at: https://basis.com/reports/2026-advertising-agency-report.

“Basis’ 2026 Advertising Agency Report illustrates an industry in flux, where operational complexity, economic pressure, and AI-driven disruption are forcing agencies to rethink how they work, how they deliver value, and how they are compensated,” said Ryan Manchee, SVP of Brand Marketing at Basis. “As the agency model transforms, the question now is what tools, technologies and practices these businesses will use to refit and remodel. While AI can be a business accelerator and force multiplier for agencies, it is only effective if it operates on advertising systems that are structured and connected.”

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The report finds that while AI adoption across agencies has surpassed 99%, the technology’s rapid rise is colliding with entrenched inefficiencies, tightening margins, and a traditional agency model that may not be sustainable in a few years. Additional findings from the report include:

Agencies’ work is getting harder

  • 70% of agency professionals say their jobs are more difficult today than they were two years ago.
  • 54% say client relationships are more strained, driven by higher expectations, compressed timelines, and increased scrutiny.

Significant operational inefficiencies

  • Inefficient processes (44%) and siloed or disconnected systems (40%) remain agencies’ top challenges.
  • More than one-third of agencies now manage 10 or more tools, more than double the share reported just two years ago

AI is a lifeline… and threat

  • Nearly 60% of agency professionals now use AI daily, up from just 16% in 2024.
  • 90% believe AI threatens their agency’s primary revenue streams, accelerating client in-housing and reshaping expectations around speed and cost.

Workforce confidence is dipping

  • For the first time since Basis began tracking industry sentiment, fewer than half of agency professionals feel optimistic about the future of digital advertising.
  • Nearly 40% of agencies have conducted layoffs in the past year.

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The agencies best positioned to succeed will identify solutions for the challenges outlined in the report, which can be vaulted by streamlining operations, consolidating fragmented tech stacks, rethinking revenue models, and investing in AI-ready infrastructure that delivers efficiency, transparency, and measurable outcomes as a baseline expectation.

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Marigold Appoints Elizabeth Smalley as Chief AI Officer and Pat Jenakanandhini as Chief Product & Technology Officer

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Marigold Appoints Elizabeth Smalley as Chief AI Officer and Pat Jenakanandhini as Chief Product & Technology Officer

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New leadership hires signal Marigold’s commitment to AI-driven innovation and product excellence across its commercial portfolio

Marigold, a global marketing technology company focused on helping growing businesses build stronger customer relationships, announced the appointments of Elizabeth Smalley as Chief AI Officer and Pat Jenakanandhini as Chief Product & Technology Officer. The dual appointments reflect Marigold’s accelerating investment in artificial intelligence and product innovation across its commercial portfolio of Campaign Monitor, Emma, and Vuture.

“Elizabeth and Pat bring exactly the combination of expertise we need as we move into this next chapter,” said Lisa Mayr, CEO of Marigold. “Elizabeth’s deep background in AI and data strategy, paired with Pat’s experience scaling product organizations and driving engineering excellence, will strengthen our ability to deliver intelligent, high-impact marketing solutions to the customers who depend on us.”

Elizabeth Smalley, Chief AI Officer

As Chief AI Officer, Smalley will lead global AI and data strategy across both Marigold’s product suite and its internal operations, driving the integration of intelligent capabilities that help marketers personalize engagement, optimize campaigns, and unlock measurable growth.

Smalley brings over a decade of experience at the intersection of artificial intelligence, data strategy, and product leadership. Most recently, as Chief Product Officer at Marigold, she led global product strategy and innovation across the company’s platforms. Prior to Marigold, she launched FDA-approved AI tools for clinical use at Teladoc Health and drove real-world data innovations in life sciences at ArisGlobal, giving her a grounded, outcomes-focused approach to AI implementation.

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“Marketers today are sitting on more data than ever, but turning that data into meaningful customer relationships requires the right intelligence behind it,” said Smalley. “I’m excited to help Marigold’s customers unlock that potential and make every interaction more relevant and impactful.”

Pat Jenakanandhini, Chief Product & Technology Officer
As Chief Product & Technology Officer, Jenakanandhini will oversee product vision, engineering execution, and technology strategy across Marigold’s portfolio, ensuring the company delivers scalable, customer-centric solutions that drive measurable results.

Jenakanandhini is a seasoned technology and product executive with extensive experience scaling B2B SaaS companies. Most recently, he served as CPTO at Tripleseat, where he drove significant new revenue growth, led company-wide AI adoption across R&D, and delivered measurable gains in engineering productivity and throughput. He previously held executive roles at ArisGlobal, Accruent, and BlueCielo, where he led M&A integration and cloud transformations.

Marketing Technology News: The Death of Third-Party Cookies Was Just the Start. Are You Ready for Consent Orchestration?

“We are at a moment where the gap between what’s possible and what most marketing technology products actually deliver has never been wider. Marigold has the customers, the talent, and the portfolio to close that gap,” said Jenakanandhini.

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