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Commvault Launches Unified Data Vault – Giving Cloud Developers an Easy and Unified Way to Bring Resilience to S3 Data

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Commvault Launches Unified Data Vault - Giving Cloud Developers an Easy and Unified Way to Bring Resilience to S3 Data

As companies rely on S3 to store application and AI data, Commvault gives developers the immutability, encryption, and policy governance needed to protect these data sets

Commvault, a leader in unified resilience at enterprise scale, announced Commvault Cloud Unified Data Vault, a cloud-native service that extends Commvault’s trusted, air-gapped protection and resilience capabilities to data written using the S3 protocol, bringing S3-based application and AI data under a unified, policy-driven protection framework for enterprise-grade resilience. By providing a secure, Commvault-managed S3-compatible endpoint, Unified Data Vault allows organizations to apply policy-driven, immutable protection to modern and custom workloads, including emerging AI workloads, without installing agents or building new data management silos.

Many developers use S3 as the default for exporting backups – from databases like CockroachDB and Greenplum to services such as Docusign and monday.com. But these backups often reside in fragmented buckets without consistent retention or lifecycle control, creating hidden compliance risks and recovery delays. Unified Data Vault closes that gap by giving teams a simple path to move S3-compatible backups directly into Commvault-managed, air-gapped storage where data automatically inherits encryption, deduplication, immutability, and policy-based governance.

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“S3 fundamentally changed how data is stored. Unified Data Vault changes how that data is protected,” said Pranay Ahlawat, Chief Technology and AI Officer, Commvault. “For the first time, developers and data teams can write directly to a Commvault-managed S3 endpoint and instantly gain encryption, immutability, and policy control – all without agents or added complexity. It’s enterprise-grade cloud protection built for the builder.”

Key customer benefits include:

  • Agentless simplicity: Enables applications, databases, and workflows to write directly to a Commvault-managed S3 endpoint—no agents or custom scripts required.
  • Automated enterprise protection: Provides immutability, encryption, deduplication, and retention controls the moment backups are written.
  • Developer-ready programmability: Integrates with native S3 workflows and APIs for frictionless DevOps automation.
  • Centralized policy governance: Applies consistent protection and user-set compliance policies across clouds, regions, and workloads.

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“For many developers, S3 is the de facto data store for popular AI databases and applications. The need to bring a strong resilience posture to these large data sets is paramount,” said Archana Venkatraman, Senior Research Director, IDC. “Unified Data Vault extends centralized automation, immutability, and air-gap protection to S3 data in a way that is easy for developers to use yet gives SecOps and IT teams peace of mind that end-to-end resilience is factored into the equation.”

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Veratad Technologies Expands IDMax(SM) Reusable Identity Network Through Partnership with Trinsic

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Veratad Technologies Expands IDMax(SM) Reusable Identity Network Through Partnership with Trinsic

Veratad Technologies, a global leader in secure age and identity verification solutions, announced a significant expansion of its IDMaxSM reusable digital identity credentials network through a new partnership with Trinsic. This strategic integration enhances Veratad’s industry-leading identity orchestration platform, Veratad VX, by enabling access to over 1 billion more digital IDs through Trinsic’s ecosystem of trusted, third-party ID providers.

Veratad first introduced IDMax on February 1, 2024, as a pioneering capability within the Veratad VX platform that allows organizations to accept and trust reusable digital identity credentials issued by third parties, alongside traditional and advanced verification methods. Since its launch, IDMax has continued to evolve through strategic partnerships with leading identity credential issuers and providers, including integrations with CLEAR, PLAID, Signzy and other trusted networks.

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By integrating Trinsic, Veratad expands its coverage to an additional 50+ networks, including bank-based IDs in the Nordics, mobile driver’s licenses in native wallets, and eIDs across Europe, reinforcing Veratad’s commitment to interoperability, flexibility, and future-ready identity acceptance.

As digital ID adoption accelerates, this integration ensures Veratad will continuously maintain industry-leading coverage by leveraging Trinsic’s role as a credential ecosystem aggregator. This means that Veratad customers will always be able to accept a broad range of third-party reusable identity credentials orchestrated in Veratad VX with other verification methods such as identity data verification, document authentication, mobile verification, Smart2FA, knowledge-based authentication, and biometrics.

“From the beginning, IDMax was designed to be an open acceptance network, not a credential itself, but a way to trust many,” said John E. Ahrens, CEO of Veratad Technologies. “By partnering with Trinsic, we are expanding the reach of reusable identity globally while preserving Veratad’s role as an independent orchestration layer for regulated, real-world use cases.”

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“Trinsic exists to make the fragmented digital ID ecosystem accessible,” said Riley Hughes, CEO of Trinsic. “By integrating Trinsic’s infrastructure for digital ID acceptance, Veratad has unlocked low-friction, high-assurance verification options for its customers in another 30 countries around the world, while maintaining trust and regulatory alignment.”

The expanded IDMax network, delivered through Veratad VX, enables organizations across industries, including financial services, e-commerce, gaming, social networks, healthcare, and age-restricted commerce, to reduce fraud, meet regulatory requirements, and improve the customer experience through secure, reusable identity acceptance.

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Keeper Security Strengthens Atlassian Williams F1 Team’s Cyber Defenses With KeeperPAM

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Keeper Security Strengthens Atlassian Williams F1 Team's Cyber Defenses With KeeperPAM

Keeper’s unified, cloud-native PAM platform enables Atlassian Williams F1 Team to enforce zero-trust security, control privileged access and streamline operations globally

Keeper Security, the leading provider of zero-trust and zero-knowledge Privileged Access Management (PAM) software protecting passwords, passkeys, privileged accounts, secrets and remote connections, announces the release of a new case study with Atlassian Williams F1 Team, highlighting how the Formula 1 team has strengthened its cybersecurity posture with KeeperPAM®.

In Formula 1, success depends not only on a driver’s performance on the track, but also on the vast amounts of data behind each team’s car design, testing and strategy. Every race weekend, Atlassian Williams F1 Team generates terabytes of sensitive telemetry data and performance insights that inform critical team decisions. Any intrusion into a team’s network infrastructure – from the factory to the paddock – could prove disastrous.

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Atlassian Williams F1 Team operates with a fast-moving, globally distributed workforce that requires secure access to critical systems, data and infrastructure from anywhere. The team needed a solution that would support secure operations during race weekends without adding complexity. KeeperPAM delivered this through a zero-knowledge architecture built on a zero-trust foundation, providing role-based access controls, privileged session monitoring and automated provisioning – enabling Atlassian Williams F1 Team to strengthen their security while maintaining the speed and agility needed to remain competitive in Formula 1.

“We travel to more than 20 countries each season, and every week we’re in a new location,” said James Vowles, Team Principal, Atlassian Williams F1 Team. “Our infrastructure isn’t sitting safely in a single building – it’s traveling with us. That means we have to be secure wherever we are, from airports to garages to our HQ at Grove. With Keeper, we can build that fortress around our operations.”

“We now have a single platform where all of our connections go through,” said Harry Wilson, former Head of Information Security, Atlassian Williams F1 Team. “We can apply policies, monitor usage and generate alerts when something unexpected happens. Doing that on our server estate was critical to us.”

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KeeperPAM is the industry’s first unified, cloud-native PAM platform built on a foundation of zero-trust and zero-knowledge security. It consolidates enterprise password management, secrets management, privileged session management, endpoint privilege management, secure remote access and dark web monitoring into a single, easy-to-deploy solution. KeeperPAM eliminates the complexity of legacy tools while providing organizations with real-time visibility, automated least-privilege enforcement and AI-driven threat detection to stop breaches in real time.

“There are times when employees need local admin rights on a case-by-case basis,” added Wilson. “With Keeper, we can grant that access in real time and remove it automatically, which gives us confidence that privileged access is always controlled and temporary.”

“Modern PAM has to do more than secure credentials. It has to automate provisioning, rotate secrets and eliminate standing privileges – all without burdening IT teams,” said Craig Lurey, CTO and Co-founder, Keeper Security. “That’s why we designed KeeperPAM to replace complexity with automation, freeing organizations like Atlassian Williams F1 Team to focus on what they do best.”

With KeeperPAM, Atlassian Williams F1 Team has centralized and secured all credentials within a zero-knowledge platform, eliminating plaintext exposure while automating the provisioning and deprovisioning of privileged access. This approach reduces operational overhead for IT teams, enforces least-access by default and ensures that sensitive systems remain protected without slowing down the engineers and staff who rely on them every weekend.

By implementing KeeperPAM, Atlassian Williams F1 Team is able to operate securely worldwide on any network and with any device, while enabling its engineers to focus on performance innovation. For the team, security has become a competitive advantage.

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Sisense Advances AI-first Analytics with Agentic and Actionable Capabilities for Faster, Smarter Decisions

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Sisense Advances AI-first Analytics with Agentic and Actionable Capabilities for Faster, Smarter Decisions

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Sisense Intelligence assistant, MCP server support, and competitive LLM options give developers and business users AI flexibility for building and scaling

Sisense, the leading provider of AI-driven analytics that transforms enterprise data into a competitive edge, ushered in a new generation of analytics that not only interprets data but acts on it. Powered by the new Sisense Managed LLM—a foundational layer that simplifies AI deployment – platform innovations like the Model Context Protocol (MCP) server and Sisense Intelligence assistant allow product leaders, developers and data teams to build, scale, and explore data faster while seamlessly integrating Sisense into the applications and workflows they already use.

Over the last several years, Sisense has been working toward an AI-first analytics approach that gives customers comprehensive access to their data and maximizes the value of their tools. Earlier this year, Sisense introduced Sisense Intelligence, a unified suite of agentic AI capabilities designed to use natural language to accelerate analytics creation, insight generation, and decision-making. With release, Sisense streamlines the workstream to allow users and creators to ask a question and build, scale, and differentiate faster, from within the applications they already have available to them.

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“We’ve reached a point in AI adoption where organizations expect high-quality tools, efficient results, and the flexibility to choose how they power their analytics,” said Ariel Katz, CEO of Sisense. “These advancements allow our customers to expand the capabilities of their current tools and embrace agentic analytics. Our customers can now explore data models, create dashboards, and deploy assistants with greater semantic intelligence, faster performance, and more control, whether via embedded products or MCP.”

MCP: Secure AI Integration with Governance and Context

Sisense’s MCP server offering allows organizations to connect external AI tools securely and is designed to help ensure results from queries come from available governed semantic models:

  • Let users ask questions directly within the AI agents they already use, such as ChatGPT or Claude
  • Maintain governance, lineage, and context across environments and interfaces, and enforce granular data access rights, ensuring users can only access and view data they are authorized to see based on existing security permissions
  • Extend analytics into new experiences like chat or copilots without rebuilding the underlying analytics stack

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Sisense Intelligence assistant Now Available for All Users

Building on that foundation, Sisense Intelligence assistant is now broadly available, empowering every builder and creator to interact with data more intuitively and create analytics assets at unprecedented speed. With assistant, users can:

  • Generate data models and sample data for rapid prototyping
  • Build and iterate on charts in conversational workflows
  • Assemble and refine full dashboards with redefined and improved user inference
  • Explore, edit, and manage analytics while ensuring alignment with governed organizational models
  • Empower end-users to perform self-service data exploration directly within embedded applications through intuitive, AI-guided experiences

“At Bioforum, we are focused on making clinical trial data easier to explore and understand,” said Francois Van Vuuren, Director, Clinical Data Systems & DM Programming at Bioforum, a biometric research organization. “By integrating the Sisense Intelligence assistant into our BioGRID analytics platform, we use Sisense’s AI capabilities to reduce complexity, enable faster insights, and improve how teams interact with their data, while maintaining high standards and meeting regulatory compliance.”

Expanded LLM Capabilities for Users and Developers

Sisense offers a Managed LLM, an end-to-end solution that gives organizations instant access to LLM-powered analytics without the complexity typically required to deploy and manage AI infrastructure. This fully managed solution removes operational barriers, accelerates time-to-value, and allows teams to safely experiment with AI across the business. Paired with the BYO LLM offering, this approach reinforces the company’s focus on providing users and customers of all sizes with flexible AI solutions that fit their needs.

New Feature Availability

Sisense’s actionable intelligence offerings, including assistant, MCP, and BYO LLM, are now available. The Sisense Managed LLM service is now available to select customers in private preview and is scheduled to be available to all customers in Spring 2026, utilizing Sisense Intelligence capabilities.

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BlueMatrix and Perplexity Partner to Bring AI-Powered Discovery to Institutional Research

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BlueMatrix and Perplexity Partner to Bring AI-Powered Discovery to Institutional Research

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Partnership enables AI-assisted research while preserving BlueMatrix’s governance-first approach to integrating AI into regulated research environments.

BlueMatrix, the global leader in capital markets content publishing technology, backed by Thoma Bravo, announced a partnership with Perplexity to bring AI-enabled research and discovery to institutional investors using BlueMatrix’s governed, entitlement-aware framework.

This partnership brings the power of AI to institutional research in a way that fully respects the industry’s need for entitlements, compliance, and control — enabling buy‑side professionals without compromising governance.

The partnership brings entitled broker research to Perplexity Enterprise users, enabling buy-side professionals to query their subscribed research content, alongside Perplexity’s broader capabilities, including real-time financial data, earnings transcripts, and deep research tools. Investment professionals and researchers can use natural language to surface relevant insights without changing existing data ownership, entitlements, or compliance structures.

As buy-side teams increasingly turn to AI tools for research synthesis, a formal integration through BlueMatrix replaces unstructured, ungoverned usage with compliant distribution that preserves attribution and entitlements. For research firms, the partnership provides a new channel to increase visibility with buy-side clients, gaining presence within an AI-powered discovery experience while maintaining full control over their content. Research providers also gain new insight into how investors interact with their analysis, the types of questions they’re asking most, and how they’re integrating those results into their AI-assisted workflows.

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BlueMatrix provisions access on behalf of research providers, ensuring that only clients with existing agreements can surface a firm’s content. Proprietary research remains fully protected and is never used to train AI models or leave institutional boundaries.

“At BlueMatrix, our priority is to help clients benefit from AI while preserving attributions, control, and flexibility,” said Patricia Horotan, CEO of BlueMatrix. “This new partnership with Perplexity delivers AI-assisted discovery to investors and researchers, alongside Perplexity’s suite of accuracy-driven research tools. For research providers, it offers a new way to ensure that their insights reach clients at the moment of decision, without compromising the governance and data-first, model-neutral strategy they expect from BlueMatrix.”

“BlueMatrix is a clear leader in capital markets technology, and we’re excited to align AI innovation with the strict governance standards financial institutions and researchers require,” said Dmitry Shevelenko, Chief Business Officer at Perplexity. “This partnership demonstrates how AI-powered search can enhance access to entitled research content, and help investment professionals move from question to insight and insight to decisions faster.”

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During the initial pilot phase of the partnership, a limited group of early-adopter firms will explore AI-assisted workflows that allow buy-side professionals to ask natural-language questions, such as “What are my brokers saying about this issuer following earnings?”, and receive cited responses grounded in the entitled research they already receive via BlueMatrix and Perplexity’s broader suite of Enterprise data sources.

Use cases will include issuer monitoring, post-earnings and event follow-up, and thematic research. BlueMatrix serves as the secure system of record for research authoring, compliance, and entitlements, while Perplexity Enterprise provides the AI-powered interface for deep research. A private beta will follow integration and security reviews, with feedback from participating firms shaping future features, including expanded entitlement scenarios, deeper use of metadata such as RIXML, and enhanced engagement reporting.

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Diginius is Now a Badged TikTok Channel Sales Partner

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Diginius is Now a Badged TikTok Channel Sales Partner

London-based SaaS company Diginius is pleased to announce that they now have a Marketing Technology badge in the TikTok Marketing Partners Program.

The TikTok Marketing Partners Program’s Marketing Technology category recognizes best-in-class companies with proven expertise in building solutions for TikTok campaigns, execution, and optimization.

As a badged Marketing Technology Partner, Diginius helps brands maximize performance through advanced campaign management tools, strategic expertise, and seamless integration with TikTok tools. Diginius is trusted by advertisers to scale campaigns efficiently, drive measurable business outcomes, and unlock the full value of TikTok media investments.

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“I see this badge as a true testament to Diginius’s global reach, technical capabilities, and partner relationships,” Nate Burke, CEO of Diginius said. “We’re very excited to help our agency partners grow through TikTok.”

“TikTok is continuously strengthening measurement capabilities, providing more actionable insights for your TikTok campaigns.” said Lorry Destainville, Global Head of Product Partnerships at TikTok. “Clients increasingly look to understand TikTok’s broader role in their effective marketing mix. The user journey isn’t linear, and media mix models provide a more holistic view of revenue-driving insights. By working with one of our vetted marketing partners, advertisers can better understand TikTok’s media effectiveness in relation to their media mix, and leverage those insights toward stronger business results.”

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IFS only vendor to be named a Customers’ Choice in the 2025 Gartner® Peer Insights™ Voice of the Customer Field Service Management Report

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IFS only vendor to be named a Customers' Choice in the 2025 Gartner® Peer Insights™ Voice of the Customer Field Service Management Report

IFS, the leading provider of Industrial AI software, has been recognized as a Customers’ Choice in the 2025 Gartner® Peer Insights™ Voice of the Customer: Field Service Management report – the only vendor to receive this distinction.

Cathie Hall, Chief Product and Customer Officer at IFS, said, “As IFS continues to drive forward the Industrial AI revolution, we feel this recognition represents an important independent validation of our leadership position in this market, and our focus on innovation. Being the only vendor with a Customers’ Choice Distinction for field service management is something the team at IFS is proud of.”

IFS continues to trailblaze the application of AI in the industrial setting with very specific industry use cases, and Field Service Management is a key area where Industrial AI has been applied to deliver service excellence, optimize workforce efficiency, and grow service revenues.

Customer feedback is essential for IFS in shaping its product roadmap and drives the continual innovation striven for at IFS to enable service-centric organizations to accelerate growth and deliver for their customers.

This is the latest in a string of recent Gartner recognitions for IFS, having been recognized as a Leader in the Gartner, “Magic Quadrant™ for Cloud ERP for Product-Centric Enterprises”, and a Customers’ Choice for Cloud ERP for Product-centric Enterprises in the Manufacturing industry earlier last year.

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Vendors placed in the upper-right “Customers’ Choice” quadrant of the “Voice of the Customer” have received strong ratings for overall experience, product capabilities, and service & support relative to the market. This is a good indicator for satisfaction with the vendor’s products in this market. Reviews from IFS’ peers include:

  • “Functionality: IFS offers a wide range of features that cover the entire service cycle” – Applications Manager, Services
  • “Working in partnership with IFS over several years has produced significant gains in utilization, efficiency and end user experience.” – IT Director, Energy and Utilities
  • “IFS has been and continues to be incredibly collaborative with us throughout the entire process. They are quick to step in as needed when clarification or support is needed.” Director of Customer Services and Support, Manufacturing
  • “IFS have worked with us in lock step, truly listening to our business needs and reflecting the conversation in their roadmaps.” Global Director Service Solutions, IT Services.

Gartner, Voice of the Customers Field Service Management, Peer Contributors, 16 December 2025

GARTNER is a registered trademark and service mark of Gartner and Magic Quadrant and Peer Insights are a registered trademark, of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved.

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Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences with the vendors listed on the platform, should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose.

Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose.

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GeoGen.io Debuts Enterprise API Suite to Scale Generative Engine Optimization

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Nutshell's AI Agent Marketplace is here to save you time and keep moving deals forward

Propelled by Unprecedented Demand from Global Martech Enterprises, GeoGen.io Bridges the Gap Between Strategic Content and AI-Driven Search Visibility.

GeoGen.io, the pioneering platform in the Generative Engine Optimization (GEO) space, today announced the public launch of its much-anticipated API suite. This move marks a significant milestone in the evolution of digital marketing, providing Martech enterprises with the industry’s most robust programmatic toolkit to monitor, analyze, and influence brand visibility across the world’s leading Large Language Models (LLMs) and AI search engines.

As generative AI platforms like ChatGPT, Perplexity, Google’s Gemini, and Microsoft Copilot increasingly replace traditional “blue-link” search results with direct, synthesized answers, the demand for sophisticated tracking has reached a fever pitch. GeoGen.io’s API launch is a direct response to a surge in interest from enterprise-level marketing technology firms requiring deeper, scalable integration of GEO data into their proprietary stacks.

We have delivered the most complete API in the GEO space to ensure that the next generation of marketing is built on verifiable AI intelligence, not guesswork.”

— Patrick Dewald

Engineering the Future of Visibility: The GeoGen API

The newly released API is designed for scale and depth, surpassing current market offerings by providing granular access to the entire “visibility lifecycle.” Unlike surface-level scrapers, the GeoGen.io API offers a multi-dimensional view of how a brand is perceived by AI models.

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Key capabilities of the Geogen API include:

• Comprehensive Analytics Integration: Programmatic access to visibility trends, sentiment analysis, and the unique “Share of Voice” metrics within AI responses.
• Deep Citation Mapping: Detailed endpoints for tracking exactly which sources AI models are citing, allowing enterprises to identify the high-authority domains influencing their brand narrative.
• Competitive Intelligence at Scale: Real-time data on competitor mentions and positioning within generative answers, enabling brands to pivot strategies instantly.
• High Volume Entity & Prompt Management: Tools for managing thousands of brand entities and custom “buyer-style” prompts to simulate real-world user queries across multiple AI models.

“Traditional SEO was a game of rankings; GEO is a game of perception,” said Patrick Dewald, CEO at GeoGen.io. “Our API was built because the world’s largest Martech enterprises told us they didn’t just want a dashboard, they wanted a data foundation. We have delivered the most complete API in the GEO space to ensure that the next generation of marketing is built on verifiable AI intelligence, not guesswork.”

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The Shift from Clicks to Citations

The launch comes at a time when digital marketing is experiencing its most volatile shift in two decades. Recent industry data suggests that “AI Overviews” and “Answer Engines” are drastically reducing click-through rates for traditional search results. However, being cited or mentioned by an AI model as a trusted source has emerged as a high-intent conversion signal.

GeoGen.io’s platform enables companies to move beyond “search volume” and focus on “Answer Engine Optimization” (AEO). By optimizing for the semantic recognition patterns used by AI crawlers, brands can ensure they are the “go-to” source for LLMs. The GeoGen API empowers agencies and in-house teams to automate this optimization at a scale previously impossible.

Navigating “Perception Drift” and AI Trust

As AI models are updated and fine-tuned, brands often suffer from “Perception Drift, a phenomenon where an AI’s description of a product or service changes over time due to new training data or model updates. GeoGen.io’s real-time monitoring through its API allows enterprises to catch these shifts before they impact the bottom line, ensuring brand consistency across the entire AI ecosystem.

With support for a wide array of models, including Gemini, Grok, Perplexity, ChatGPT, Google AIO, Google AI Mode and Microsoft Copilot (With more models coming soon), GeoGen.io provides a unified lens through which to view the fragmented AI landscape.

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Temporall Launches ‘Tempo’ to Solve the AI Value Paradox: AI Intelligence for the Enterprise

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Limelight Inc. Launches New Programmatic Optimisation Tool

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Temporall, the leader in AI Behavioural Analytics, announces Tempo, a unified AI Intelligence platform, quantifiably linking AI to tangible business outcomes.

Temporall, the leader in AI Behavioural Analytics, announced the launch of Tempo, a unified AI Intelligence platform designed to link workforce AI adoption directly to business outcomes. As organizations struggle with the “AI Value Paradox”, where investment in AI tools fails to show a clear impact on the bottom line, Tempo provides the objective data leaders need to make informed strategic decisions.

While enterprises continue to deploy tools like Microsoft 365 Copilot, Google Workspace Gemini, and ChatGPT Enterprise, the AI Value Paradox persists because there is no single way to verify if AI use is actually improving performance across different organizational groups. Tempo solves this by syncing telemetry from co-existing AI assistants, productivity suites, and HR systems into one independent data model. This transforms fragmented data into the clear AI Intelligence required to validate ROI and scale AI transformation with confidence.

By linking how people use AI directly to business performance data, we give leaders the certainty they need to move from experimentation to a measurable AI advantage.”

— Thomas Davies, CEO, Temporall

Thomas Davies, CEO of Temporall, commented:

“The AI Value Paradox is a reality for most enterprises today: they are spending significantly on AI tools but cannot prove the return on that investment. Tempo solves this by providing a single, independent source of AI Intelligence. By linking how people use AI directly to business performance data, we give leaders the certainty they need to move from experimentation to a measurable AI advantage. We built Tempo so our customers can stop building complex data pipelines and focus on AI-enabling their organisations with clarity and confidence.”

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Four Pillars of AI Intelligence: Tempo empowers the C-Suite to manage AI transformation across four dimensions:

– AI Usage & Adoption: Rapidly diagnosing adoption levels, and identifying where and how to ramp change initiatives to drive sustained fluency.
– AI Impact: Correlating AI proficiency levels, from “Power Users” to “Non-users”, with actual work outcomes and organizational performance.
– AI Cost Management: Pinpointing license waste by linking usage to spend, enabling data-led procurement and reduced Total Cost of Ownership (TCO).
– AI Governance: Providing auditable evidence for executive oversight and compliance with emerging frameworks like the EU AI Act.

Tempo: How it Works

The platform transforms fragmented data into a unified intelligence layer through:

– Natural Language Query (NLQ): Leaders can reveal the “where, what, and why” of their AI and work data using simple conversational prompts.
– Report Generator: Rapidly deliver insights that can be trusted and acted on immediately to support strategic decisions.
– AI-Ready Proprietary Data Model: An independent model that unifies and normalizes disparate AI and work data sources into an auditable dataset.
– Advanced Segmentation: Filter activity by role, level, tenure, and location to understand exactly how different groups are using AI.
– Organizational Network Analysis (ONA): Understand how AI usage affects connectivity and collaboration across your organizational groups.

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The platform transforms fragmented data into a unified intelligence layer through:

– Natural Language Query (NLQ): Leaders can reveal the “where, what, and why” of their AI and work data using simple conversational prompts.
– Report Generator: Rapidly deliver insights that can be trusted and acted on immediately to support strategic decisions.
– AI-Ready Proprietary Data Model: An independent model that unifies and normalizes disparate AI and work data sources into an auditable dataset.
– Advanced Segmentation: Filter activity by role, level, tenure, and location to understand exactly how different groups are using AI.
– Organizational Network Analysis (ONA): Understand how AI usage affects connectivity and collaboration across your organizational groups.

The “Expert-Led” Path to Value

Temporall Services delivers Managed AI Intelligence, a comprehensive service model that provides “AI Intelligence as-a-Service” directly through the Tempo platform. We act as an extension of your team so your leaders can focus on strategic outcomes rather than data plumbing. To eliminate the technical burden and risk of building internal analytics, our engagement begins with the Tempo Jumpstart, a high-velocity, 30-day technical and strategic onboarding phase.

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Five9 Launches Joint Enterprise Customer Experience AI Solution With Google Cloud

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Temporall Launches ‘Tempo’ to Solve the AI Value Paradox: AI Intelligence for the Enterprise

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The Power of Intelligent CX and AI Come Together to Transform How Enterprises Deliver Exceptional Customer Experiences

Five9 announced an expanded partnership with Google Cloud and a new joint Enterprise CX AI solution that helps large enterprises connect with their customers so they can deliver seamless, intelligent, and AI-driven customer experiences.

The integrated solution combines the Five9 AI-Infused Intelligent CX Platform with Google Cloud’s Gemini Enterprise for Customer Experience (GECX) and advanced AI services, including Google’s Gemini models and Google Cloud’s Vertex AI platform. Together, these technologies create an integrated experience to deliver intelligent, personalized, and seamless interactions across every channel.

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“Enterprises , including the largest brands in the world, are looking for an end-to-end platform that connects data, AI, and humans to turn every interaction into a meaningful outcome,” said Mike Burkland, Chairman and CEO, Five9. “By combining Five9’s market-leading, AI-driven platform with Google Cloud’s leadership in AI and data innovation, we’re making it easier than ever for businesses to deliver smarter, more personalized customer experiences.”

The integrated solution will provide a seamless user experience for agents, supervisors, and administrators that unites contact center workflows, analytics, and AI assistance. Customers will enjoy faster, more personalized, and proactive interactions, while enterprises gain the agility to innovate quickly, scale effortlessly, and manage every capability with confidence.

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“Digital transformation requires technology that helps businesses solve complex challenges unique to their industry, especially in the realm of customer engagement,” said Kevin Ichhpurani, President, Global Ecosystem and Channels at Google Cloud. “By utilizing Gemini Enterprise for Customer Experience and Google’s Gemini models, with Five9’s unique intelligent CX platforms, Five9 is providing a unified, AI led CX platform that can improve customer experiences and move the intelligent contact center industry forward.”

The expanded partnership features an enhanced go-to-market strategy aimed at transforming the customer experience across key industries, including retail, financial services, healthcare, and more. Customers and partners can purchase Five9 directly through Google Cloud Marketplace, which allows them to benefit from the ease of procurement, consolidated billing, and draw down on their Google Cloud spend commitment.

In addition to this partnership, Five9 is also deepening its commitment to Google Cloud’s AI infrastructure by running key internal enterprise workloads on Google Cloud. As part of this expansion, Five9 is using Gemini Enterprise to drive greater efficiency across sales, legal operations, customer success, and business operations management.

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Ad Security Trends And Threats For 2026

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Stan Grinevich
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Ad Security Trends And Threats For 2026

It has been another big year for ad security breaches, malvertising, phishing, and crypto threats. Although we can never truly know what the future holds, looking at data and market influences, here are 4 ad security predictions for 2026.

Let’s start with AI

In 2025, we have seen AI become so realistic that people are having issues differentiating human-made content from AI, rage bait and disinformation continue to cloud peoples judgment and has increased, and deep fake technology has continued to advance. Our number one prediction for 2026 is that AI will be used to create more elaborate online scams.

Expected trend: Increase in the number of deep fake video scams

Older internet users and vulnerable people are at risk of being duped by deep fake videos. One of the ways this is happening is through fake product results. For example, fake before-and-after results from dieting to show the effectiveness of a workout plan or herbal remedy or product mock-ups that have never been produced. Another way visual deep fakes can trick people is through fake celebrity endorsements. Traditionally, celebrity endorsements increase product trust, so the non-tech-savvy could fall for scams that show fake celebrity product and service promotion. AI deep fake images and videos are getting more sophisticated, making it much more difficult for an end user to recognize if they are fake or real.

Expected trend: Increase in the number of deep fake voice scams

With as little as 2 minutes of an audio or video, the AI can create believable voice clones that could be used to imitate celebrities, and other important roles such as your boss! End users can be targeted through fake ads or voice messages to be convinced to make a purchase of a fake product or service giving personal and financial data that can then be exploited Malvertisers to exploit end users.

Studies have found that people are more critical of human voices when asked to differentiate them from AI, and often, participants find the AI voices sound more trustworthy than actual human voices. Therefore, Ad Networks, DSPs, and Programmatic agencies need to be vigilant with their compliance and need tools to identify AI creatives. Not all end users can spot the sound of an AI voice.

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Expected trend: Phishing attempts will continue to rise and become more convincing

Phishing attempts are one of the most consistently effective cyber threats, with 3.4 billion phishing emails sent daily, and 94% of malware infections originating from phishing emails. It continues to grow because Malvertisers are constantly finding new ways to bypass security and improve the quality of their emails and texts. Phishing is so effective because it creates a sense of urgency, fear, or opportunity. With the fast development of technology, ‘phishing kits’ are now being sold that provide entry points into an organization’s network, making it even easier to phish data.

Phishing violations have increased dramatically throughout 2025, with Q3 ending with a 188.1% increase in Phishing detections scanned by AdSecure compared to Q2.

Phishing attacks can be generated by AI, which allows Malvertisers to build to scale and use bots to create clones that increase the risk to people falling victim to the scam. The combination of easy access to AI tools that improve text and automate processes, along with the ability to purchase prepackaged malware, is likely to result in a spike in more successful Phishing attacks and breaches of sensitive information and data.

Emerging Trends: Drive-by Crypto Mining opportunities for bad actors

On Jan 23, 2025, US President Donal Trump signed EO 14178: “Strengthening American Leadership in Digital Financial Technology.” The aim was to direct federal agencies to review all existing Crypto-related regulations and guidance, with orders to look at which regulations could be modified or repealed. Additionally the SEC established a new Crypto task force to build “clear regulatory lines,” more sensible disclosure, and enforcement. The goal was to reduce “regulation by enforcement” and instead provide more predictable, rules-based oversight. As reported in The Verge, in April 2025, the Department of Justice also scaled back certain Crypto-related prosecutions. According to a memo, prosecutors have been instructed to stop targeting virtual currency exchanges, mixers (“tumbling services”), and offline wallets just for regulatory-violation–type issues.

The other big news headline in Crypto in October this year was that President Trump pardoned Changpeng Zhao, the Cryptocurrency multi-billionaire, who was serving prison time for pleading guilty to enabling money laundering in 2023. This pardon coupled with the deregulation of Crypto encourages cyber criminals to boost their Crypto Mining activities. Drive-by Crypto Mining, also known as Cryptojacking is a tactic used by Malvertisers. When an end user clicks on a malicious ad it quietly downloads Crypto mining software onto their device(s) and uses the devices power and bandwidth to secretly mine Crypto coins on behalf of the Malvertiser. Comparing Q2 to Q1 AdSecure saw an increase of 200% in the detection of ads with hidden Crypto Mining code. And comparing Q3 to Q2, it continued to rise by 92.3%. With this upward trend, we can expect to see Malvertisers continue to use ads to exploit end users with Drive-by Crypto Mining.

Emerging Trend: Age Verification laws may increase the number of VPN scams

Age verification for adult content websites is now law in several countries: the UK, France, Spain, Germany, Italy, and 25 US states. Adult websites are required by law to verify the age of their end users. Because these verification methods handle sensitive personal data such as official Government ID documents, many end users are reluctant to verify their age to view adult content. Because of this, the VPN industry has seen a big increase in end users downloading VPN software. There is even current talk in some countries and US States to ban the use of VPNs in the future. However, with the popularity rising in VPN interest from end users, cyber criminals are sure to take advantage with advertised offers of VPN products that once downloaded, could be full of malicious software that can be used to compromise end users. End users should only use VPNs that are well known and trusted, avoiding ads and going directly to a VPNs official website to obtain this utility.

A final word…

As technologies like AI continue to improve and global markets shift with changes and deregulation, tech savvy bad actors are constantly looking for ways to use advertising to show malicious ads via ad networks, ad exchanges, publishing websites to exploit unsuspecting end users. Therefore, ad security and delivering a high-quality user web browsing experience is of prime importance. Malvertisers are constantly on the lookout for new technologies and opportunities to increase the number of scams that they create, and all it takes for them to win are unsuspecting end user clicks.

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Rakuten Advertising Unveils Innovation Labs to Accelerate AI Innovation in Affiliate Marketing

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PRNewswire
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Rakuten Advertising Unveils Innovation Labs to Accelerate AI Innovation in Affiliate Marketing

New AI hub in Rakuten Advertising’s Insights & Analytics portal launches with AI Recommendations for advertisers and publishers

Rakuten Advertising, the leading global affiliate marketing network, announced the launch of Innovation Labs — a product collaboration hub dedicated to accelerating the development and application of AI to generate greater ad spend efficiency to target and engage customers across Rakuten Advertising’s world-leading affiliate publisher network. Now available in Rakuten Advertising’s Insights & Analytics portal, Innovation Labs provides advertisers and publishers with a space to explore and collaborate on future-forward AI capabilities for advancing their businesses.

“Innovation Labs is the culmination of years of work growing our Affiliate Intelligence suite of AI-powered tools, bringing together data, AI, premium partnerships, and expert strategies,” said Nick Stamos, CEO at Rakuten Advertising. “This initiative is a critical step in how Rakuten Advertising contributes to the broader Rakuten Group’s ‘Triple 20’ commitment to using AI to drive 20% greater efficiency for our employees, our internal teams, and most importantly, our clients. Innovation Labs will shorten the build–measure–learn cycle of AI transformation, helping us fast-track future investment in capabilities that improve outcomes for our advertisers and publisher partners.”

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At launch, Innovation Labs brings advertisers and publishers new AI Recommendations.

  • For Advertisers: AI Recommendations will holistically analyze multidimensional advertiser attributes to determine new types of publishers. This involves analyzing profiles, products, and other characteristics to identify publishers with demonstrated success in similar campaigns, and also identifying new categories of publishers that will maximize growth.
  • For Publishers: AI-driven Product Recommendations reduces research time and enhances monetization for publishers by instantly identifying emerging trends from partnered and non-partnered advertisers, then curating them for a targeted audience and narrowing options with brand and category filters.

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Rakuten Advertising’s Data Science team will conduct rolling experiments within Innovation Labs, guided by client and partner feedback, leading to an always-on research and development space where new features will be added and updated on a regular basis.

“Innovation Labs delivers on our promise to continually innovate our products in a way that benefits every participant in the affiliate marketing universe, from brands, to publishers, and ultimately, consumers,” said Adam Rostan, Chief Product Officer. “This will be a space where advertisers and publishers can experiment, collaborate, and scale new use cases with AI to deliver greater efficiency for everyone and accelerate the industry’s growth.”

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Bloomreach Announces Loomi Connect, Bringing Your Brand’s Search Intelligence to the OpenAI Marketplace

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Business Wire
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Bloomreach Announces Loomi Connect, Bringing Your Brand’s Search Intelligence to the OpenAI Marketplace

Bloomreach

Bloomreach, the AI company for personalization, announced Loomi Connect, making the company’s product discovery technology available through the Model Context Protocol (MCP). Loomi Connect brings a brand’s ecommerce search intelligence directly into ChatGPT and other conversational AI platforms. As a result, the same algorithms and data points that drive conversions on a retailer’s site can now power how products appear in AI conversations — ensuring consistency, control, and relevance wherever customers shop.

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ChatGPT isn’t the competitor to the brand experience — it’s the next channel within it. Brands need to take control of their presence on conversational channels, just as they did with email, SMS, and social media.

According to a Bloomreach survey* of more than 1,000 U.S. consumers, nearly 50% of consumers shop with ChatGPT several times a week or more, and if forced to choose, 41% would choose it over shopping directly on an ecommerce site. As businesses seek to meet customers where they are, Bloomreach is offering a new solution that will allow them to bring years of refined on-site search intelligence directly into conversational channels.

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Loomi Connect integrates Bloomreach’s product discovery technology directly into ChatGPT apps built on the OpenAI marketplace. This ensures that as product catalogs are surfaced in ChatGPT, they are powered by the same performance data and fine-tuned algorithms that drive a brand’s on-site search — making recommendations both relevant to customers and profitable to businesses. Loomi Connect also captures interaction data and feeds it back into customer profiles, enabling personalization to flow seamlessly between ecommerce sites and conversational channels.

“ChatGPT isn’t the competitor to the brand experience — it’s the next channel within it,” said Raj De Datta, co-founder and CEO, Bloomreach. “Brands need to take control of their presence on conversational channels, just as they did with email, SMS, and social media. Loomi Connect is here to help them achieve that, ensuring the same data and AI that our customers have been using to power their owned-channel experiences can now extend into conversational channels too.”

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Cast AI Valued at Over $1 Billion With the Launch of Its GPU Marketplace

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Business Wire
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Cast AI Valued at Over $1 Billion With the Launch of Its GPU Marketplace

Cast AI

OMNI Compute is a unified compute marketplace that enables enterprises to access, provision, and operate GPUs across any cloud or region, with no code changes required

Cast AI, the leading Application Performance Automation platform, introduced OMNI Compute, a unified compute control plane that automatically discovers available resources across cloud providers and regions and transparently extends existing Kubernetes clusters to consume them. The company also announced a strategic investment from Pacific Alliance Ventures (PAV), the U.S.-based corporate venture arm of Shinsegae Group, an over $50 billion Korean conglomerate with leading businesses across retail, consumer, and digital platforms. With this round of funding, Cast AI’s valuation exceeds $1 billion.

“Shinsegae Group’s investment, and our over one billion dollar valuation, underscore the market’s confidence in our platform vision and our ability to execute it globally,” said Cast AI Co-Founder and CEO Yuri Frayman. “Enterprises don’t just need cheaper infrastructure – they need infrastructure that adapts automatically as workloads and constraints change. That is what our automation agents were built to do, and this investment helps us scale that globally.”

Cast AI expands its platform with the introduction of OMNI Compute

OMNI Compute connects external capacity, including GPUs, as native compute, allowing workloads to run on the most appropriate resources, locally or across clouds, without code changes, reconfiguration, or operational changes.

It enables organizations to run any workloads, starting with AI inference, without cloud lock-in, while maintaining control over where they execute, to meet compliance and regulatory requirements. Teams can scale services without pinning workloads to a single region or provider, while keeping infrastructure behavior automated, governed, and predictable as demand increases. It applies the same optimization used across the Cast AI platform to this external capacity, including GPU sharing, monitoring, and rightsizing, ensuring AI workloads remain efficient and consistent at scale.

“OMNI Compute makes GPUs fungible at the infrastructure layer so capacity isn’t trapped inside a single cloud or region,” said Cast AI President and Co-Founder Laurent Gil. “Teams can move, allocate, and run production workloads wherever compute is actually available, with control over cost and performance.”

Oracle is one of the cloud providers making GPU capacity available to Cast AI customers through OMNI Compute.

“Partnering with Cast AI opens entirely new markets for Oracle Cloud Infrastructure (OCI). Organizations running on any hyperscaler can now access best-in-class OCI AI infrastructure instantly, in every Oracle Cloud region worldwide,” said Karan Batta, Senior Vice President, Oracle Cloud Infrastructure. “OMNI Compute removes the barriers that traditionally kept enterprises locked into a single cloud, and it allows them to tap into OCI’s high-performance GPU fleet the moment they need it. This is a step-change in how global AI platforms will deploy and scale.”

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“Cast AI’s ability to provision GPUs across multiple clouds and regions without requiring a single change to our application code is a game changer for running AI inference at scale,” said Uniphore Vice President of Product Management Erik Johnson. “In production, access to reliable, affordable GPU capacity exactly where and when you need it is mission-critical. OMNI Compute makes that possible. It enables us to serve our customers in different regions around the world, gives us instant flexibility, eliminates regional GPU shortages, and lets us maintain consistent performance globally. That level of portability fundamentally changes how we build and operate real-time AI workloads.”

Cast AI rapidly growing across all geographies, industries, and segments

Shinsegae Group’s investment follows a year of record performance at Cast AI that included a Series C funding round led by G2 Venture Partners and SoftBank Vision Fund 2, with participation from Aglaé Ventures, joining alongside existing partners Hedosophia, Cota Capital, Vintage Investment Partners, Creandum, and Uncorrelated Ventures.  Cast is trusted by organizations including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.

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Global expansion has been a core pillar of Cast AI’s growth strategy following its Series C funding round. Since then, the company has significantly expanded its regional footprint by opening new offices in Bangalore, London, New York, and Tel Aviv, as well as subsidiaries in Canada, France, India, Korea, Lithuania, Singapore, and the UK.

“Cast AI has built a category-defining automation platform that aligns with the needs of modern, cloud-first enterprises,” said Hyuk Jin Chung, Managing Partner at PAV. “We see strong demand for the company’s platform globally, and we’re excited to support the company’s continued expansion in Asia and help it realize its long-term Application Performance Automation platform vision.”

“With Cast AI, we’ve automated continuous infrastructure optimization on Amazon EKS – reducing operational overhead while improving application efficiency and cost control in real time,” said Kyotack Tylor Kim, Head of Next Gen Cloud Group at Samsung Electronics. “OMNI Compute’s unified control plane has the potential to change how enterprises like Samsung run AI infrastructure globally.”

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Cordial Brings AI Into the Work, Not Just the Workflow

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PRNewswire
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Cordial Brings AI Into the Work, Not Just the Workflow

AI agents designed to ground, govern, execute, and coordinate marketing activations in real time

Cordial, the leader in messaging for enterprise marketing teams, announced two new AI agents designed to automate real marketing work and infuse insights directly into execution. These agents are part of Cordial Agents, a system built to give marketers real agency by grounding, governing, executing, and coordinating real work inside the platform.

Rather than introducing dozens of narrow agents or AI assistants, Cordial is focused on fewer, deeper agents that eliminate manual and duplicative work across core marketing operations.

Marketing teams have more data than ever, but far less ability to act on it in real time. According to Cordial’s recent research, 100% of marketers still rely on behavioral signals like clicks and opens to infer intent, while nearly two-thirds say insights are used only for campaign planning rather than live execution. Meanwhile, just 34% of consumers feel brands truly understand their needs, and 43% of marketers report losing customer trust when intent is misread.

As AI collapses the distance between signal and action, this gap becomes harder to ignore, and the ability to anticipate and act on customer intent in real time becomes increasingly critical.

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“Most AI tools stop at suggestions,” said Matt Howland, Chief Product Officer at Cordial. “We built Cordial Agents to do the work itself. They operate inside real marketing systems, with real data, rules, and guardrails, so teams can move from insight to action without adding manual steps, redundancies, or miscues.”

Unlike typical AI assistants that generate drafts or ideas, Cordial Agents are production systems that do the work. They are designed to ground, govern, execute, and coordinate real marketing work end to end, directly inside live workflows.

The Email Production Agent handles the execution-heavy parts of email marketing work, including personalization, audience logic, message orchestration, and measurement. It builds complete emails using production-grade tools designed to run inside live campaigns, not simplified prompts or static templates. Outputs are validated against real customer profiles before they run, ensuring correctness at scale and preventing broken logic from reaching production.

The Data Intelligence Agent works against the same understanding of intent, monitoring campaign and audience performance as it happens. It identifies emerging trends, surfaces issues early enough to act, and recommends next actions while campaigns are still running.

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Both agents operate within Cordial’s governed agent framework. Each agent is configured with explicit tools, built-in quality checks, controlled retries, and enforceable guardrails tied to the organization’s brand and campaign standards. Outputs are continuously checked and corrected, allowing agents to improve results without introducing risk.

Execution across Cordial Agents happens through specialized, production-grade tools that operate directly inside live workflows. This ensures work created by agents is executable, measurable, and safe to run at scale.

Cordial Agents are also designed to work together. Agents collaborate through shared context and agent-to-agent communication, while humans can participate directly by providing briefs and artifacts, improving shared understanding and coordination.

Together, these capabilities reflect Cordial’s approach to AI in marketing: fewer agents, deeper context, governed execution, and real outcomes. The goal is not to add another assistant to the workflow, but to remove manual, cumbersome, and duplicative work across marketing operations altogether.

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Highspot Launches New Agentic AI to Help Sales Teams Execute with Precision and Win More Deals

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Highspot Launches New Agentic AI to Help Sales Teams Execute with Precision and Win More Deals

Highspot Logo

Winter Product Launch ‘26 delivers Deal Intelligence, powered by Deal Agent, to guide sellers with real-time insights and next-best actions across every sales opportunity

Highspot, the only agentic platform for go-to-market (GTM) performance, announced its Winter Product Launch 2026, introducing new agentic AI capabilities designed to help revenue teams improve deal execution, increase deal velocity, and win more consistently.

Highspot’s Winter Launch introduces Deal Intelligence, powered by Deal Agent, which analyzes CRM data, buyer engagement, and meeting insights to deliver a real-time, unified view of every active deal.

What’s New in the Winter Launch ‘26

Highspot’s Winter Launch introduces Deal Intelligence, powered by Deal Agent, which analyzes CRM data, buyer engagement, and meeting insights to deliver a real-time, unified view of every active deal. Using this context, Deal Agent recommends data-backed next steps so sellers know exactly how to advance each opportunity.

Turn Connected Deal Insights into Action

GTM teams often struggle with fragmented signals and limited visibility into why deals stall or progress. Highspot Deal Intelligence consolidates buyer activity, CRM updates, and meeting insights into a single, actionable view of deal health and execution.

Deal Agent transforms those insights into guidance by recommending next-best actions, including identifying risk, launching deal-specific AI Role Play, or creating a Digital Sales Room (DSR) to re-engage buyers and move deals forward. Built on Highspot Nexus™, the platform’s unified AI and analytics engine, Deal Agent connects directly to an organization’s CRM to ensure recommendations align with its sales motion.

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Better Collaboration Across the Buying Journey

The Winter Launch also enhances Highspot DSRs, secure, branded spaces where sellers and buyers collaborate throughout the deal. New mutual action plans embedded in DSRs help both sides align on roles, milestones, and timelines.

For sellers, this reduces confusion and shortens sales cycles. For buyers, it provides clarity and confidence from first meeting through close.

Sales Performance Built on Preparation

Highspot’s Winter Launch extends the platform’s AI-powered coaching capabilities so sellers are prepared to execute when it matters most. AI Role Play is now available directly within Deal Agent, allowing sellers to practice real scenarios with live deal context, anytime, on web or mobile.

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Additional enhancements include:

  • Highspot Skills, a GTM-tested framework for defining and measuring critical seller capabilities
  • AI-powered skill assessments to scale coaching and training programs
  • Automated AI Feedback for Training, which evaluates submissions automatically to reduce review bottlenecks and accelerate seller readiness

Why This Matters Now

As deals grow more complex and buying groups harder to align, revenue teams need more than insight — they need guidance that turns insight into execution. Highspot’s Winter Launch addresses this challenge by embedding AI-driven recommendations directly into the flow of work, helping teams execute consistently without adding tools or headcount.

From Highspot’s CEO

“Your go to market strategy lives or dies with the deal,” said Robert Wahbe, CEO, Highspot. “Our Winter Launch turns insight into action inside live deals, giving sellers the agentic platform they need to win more consistently and make your strategy successful.”

Why the Market is Shifting

According to the Gartner® Magic Quadrant™ for Revenue Enablement Platforms, 2025, “The market is shifting from episodic, generic tools to connected, insight-driven solutions. AI has moved from hype to business-critical, with buyers demanding proven ROI from AI investments.” Highspot’s Winter Launch directly addresses these demands by unifying sales data and translating insights into action.

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Miro Launches Collaborative AI Workflows to Transform How Teams Work and Accelerate Innovation

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Miro Launches Collaborative AI Workflows to Transform How Teams Work and Accelerate Innovation

Miro Logo

New solution brings specialized AI agents and visual, collaborative AI workflows to Miro’s AI Innovation Workspace enabling teams to collaborate faster and execute at enterprise scale

Miro®, the AI Innovation Workspace for teams, launched AI Workflows for enterprise customers to accelerate and transform how organizations turn initial ideas to final deliverables. AI Workflows helps enterprise teams build, customize, and share collaborative AI workflows that automate end-to-end processes on Miro’s canvas. Early adopters report shrinking their innovation cycle from weeks to hours, and cutting total delivery time and cost savings by more than 50% when deploying AI Workflows across collaborative projects.

“Collaborative AI Workflows lets teams work with AI the same way they work with each other – visually, in real-time, on a shared canvas where everyone can contribute.” Jeff Chow, Chief Product and Technology Officer at Miro.

Teams can create custom collaborative AI workflows that turn messy inputs into shareable deliverables – strategy documents, prototypes, diagrams, roadmaps – in minutes instead of hours. The product combines three capabilities: Flows (visual multi-step AI workflows that link together AI actions while keeping humans in control), Sidekicks (conversational agents with custom context and skills for specific tasks) and Visual Context Processing (where teams’ existing work in Miro’s canvas is processed visually as context for AI).

“Teams shouldn’t have to choose between AI and collaboration,” said Jeff Chow, Chief Product and Technology Officer at Miro. “Collaborative AI Workflows lets teams work with AI the same way they work with each other – visually, in real-time, on a shared canvas where everyone can contribute. Our customers are proving that when you bring AI and teams together on a shared canvas, you don’t just work faster – you transform how work gets done.”

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Miro customers are already experiencing the benefits:

FREITAG – a Swiss design and lifestyle company – collaborated with Miro Solution Partner Smart System Guild to run an ERP replacement project using Miro AI Workflows. “Using AI directly in a collaborative workspace brings big gains,” says Rainer Grau, Managing Director at Smart System Guild. “AI Workflows helped us to achieve a 50% reduction in time and resource costs, as well as improving the speed of data analysis by 80% – the time spent on workshop evaluation dropped from weeks to days. Miro showed us how we can save time, but also reduce project risk. A bonus is that the core Miro board still serves as FREITAG’s living documentation for the next ERP phase. This is how companies should run software replacement projects.”

EPAM – a global strategy and consulting firm – used AI Workflows to move from new product discovery to validation faster. “With AI, generating ideas can be effortless – our client organizations and our teams can produce hundreds of them,” Macy Donaway, Client Lead for Innovation at EPAM. “But that creates a new bottleneck: knowing which ideas are actually worth pursuing, and then securing buy-in across organizations to make them real. Miro can help transform this. By embedding Sidekicks as context-aware agents in our workflows, and AI-assisted workflows, we automate repetitive elements of the discovery work and free our teams to focus on validation, rapid iteration and prototyping, and organizational alignment. The result? We’re moving from initial ideas to proven hypotheses in weeks rather than months.”

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Key benefits:

  • Slash manual documentation time – Workshops become strategy documents, prototypes, and roadmaps in minutes instead of hours. Teams report saving hundreds or thousands of hours of manual formatting work, letting them focus on thinking instead of transcribing.
  • Turn ideas into deliverables instantly – The canvas becomes the prompt. Existing work – process maps, journey maps, research synthesis – becomes AI context automatically. No retyping. AI Workflows generates complete outputs from strategy docs to prototypes while exposing every step so users can perfect and reuse processes.
  • Scale best practices across the organization – Create, save, and share unlimited custom AI Workflows tailored to specific processes. Turn the best PM’s discovery process or the top Designer’s workshop format into reusable templates anyone on the team can run. Democratize expertise instead of bottlenecking it.
  • Ground AI in company-specific knowledge – Connect to company knowledge systems like Microsoft Copilot, Glean, Gemini Enterprise or Amazon Q so AI outputs are grounded in actual data, not generic responses.
  • Generate multiple formats from one input – A single workflow can produce a strategy document, prototype, roadmap, and stakeholder presentation from the same canvas. One workflow, multiple deliverables tailored to different audiences.
  • Eliminate handoff delays with transparent workflows – AI agents work alongside teams on the same canvas where collaboration already happens. Everyone sees the AI’s work, contributes to it, and builds on it together – no black boxes or isolated prompting.
  • Access the right model for every task – Miro integrates with OpenAI, Anthropic, Google and more – so your teams have the flexibility to select the right model for every task.

Three-quarters of global business leaders believe that most AI tools focus too much on supporting individual work, rather than team productivity. This approach slows teams down and creates more work, not less. 82% of leaders want AI solutions that drive team – not just individual – productivity. AI Workflows meets this demand and embeds AI directly into the canvas where teams already work together, reducing complexity and meaning teams no longer need to switch between multiple tools when working on a project. Individual productivity becomes genuine team collaboration that delivers business acceleration. While other tools fragment work across isolated AI interactions, Miro brings teams and AI together in one workspace. The result is faster cycles, fewer miscommunications, and work that actually ships instead of getting stuck in handoffs.

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Jivox Raises Strategic Financing, Rebrands As DaVinci Commerce To Power The New Era Of Agentic Commerce Marketing

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Jivox Raises Strategic Financing, Rebrands As DaVinci Commerce To Power The New Era Of Agentic Commerce Marketing

Saama Capital Founder Ash Lilani and Former Procter & Gamble Chief Innovation Officer Jerry Porter Join DaVinci Commerce Board of Directors

DaVinci Commerce, formerly named Jivox, announced that it has raised a strategic round of financing to invest in the growth of its AI-native DaVinci Commerce platform designed to help large global brands and commerce media networks scale consumer engagement and acquisition through agentic commerce marketing. This financing follows accelerating adoption of DaVinci Commerce, as large consumer goods and retail enterprises seek to deploy agentic AI to scale commerce marketing. DaVinci Commerce meets this demand with an agentic commerce marketing platform that brings together AI-powered commerce content optimization and agentic commerce media activation—automating campaign activation in minutes across commerce media networks through an architecture enforced by enterprise guardrails. DaVinci Commerce is recognized as a Top 50 innovation at the 2026 National Retail Federation (NRF) Innovators Showcase, highlighting its leadership in bringing agentic AI to commerce marketing.

Commerce media continues to be one of the fastest-growing segments in digital advertising, based on eMarketer’s May 2025 forecast projecting U.S. commerce media ad spend at a 15.3% CAGR from 2025–2029. While eMarketer’s forecast reflects the scale and pace of category growth, market adoption is widely understood to be shaped by broader industry dynamics, including the increasing convergence of commerce media, programmatic buying, and closed-loop measurement. At the same time, enterprises are rapidly adopting AI—and increasingly, agentic AI—to automate complex, multi-step workflows that previously required significant human coordination. DaVinci Commerce was designed from the ground up to operate at this intersection.

“Commerce media growth is no longer limited by media spend but constrained by the ability to handle speedy launches, multi-retailer complexity, and compliance,” said Diaz Nesamoney, Founder & CEO of DaVinci Commerce. “We built the DaVinci Commerce platform from the ground up to be AI-native, enabling brands to lower the cost and complexity of creating and running commerce campaigns across multiple retail media networks while improving performance through personalized commerce ads—all with enterprise-grade guardrails. As demand for agentic commerce marketing continues to accelerate, we raised this round of financing to further invest in product innovation and expand our go-to-market efforts.”

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

This round of investment in DaVinci Commerce is backed by a distinguished group of technology and enterprise leaders, including:

  • Saama Capital, a Silicon Valley venture capital firm focusing on AI and Commerce technologies as a key investment area.
  • Amit Singhal, formerly Senior Vice President and Google Fellow who led Google’s core search team for over 15 years, overseeing the development and quality of the company’s search algorithms and shaping the evolution of Google Search.
  • Sohaib Abbasi, a technology executive who served as CEO and Chairman of Informatica—where he led substantial growth. Sohaib was also part of the early founding team and held several executive leadership roles at Oracle. He has since served on multiple technology company boards and in senior advisory roles.
  • Cosmos Nicolau, a senior engineering leader at Akamai, Fabric7, Google, GRAIL Bio and Neeva. As an early VP at Google he led teams that worked on search and cloud infrastructure, as well as consumer products including Shopping, News, Video, and Image Search.

DaVinci Commerce also announced that Ash Lilani, Founder and Managing Partner of Saama Capital, and Jerry Porter, who was recently Chief Research and Innovation Officer at Procter & Gamble Fabric & Homecare, have joined the board of directors. DaVinci Commerce’s board also includes Greg Archibald, VP of Global Ad Sales at PayPal, and Robert Chatwani, President of DocuSign and was previously CMO of Atlassian and CMO of eBay North America.

“I am very excited to be teaming up with Diaz who is a seasoned serial entrepreneur with several prior successful ventures. AI is transforming the world of commerce marketing and DaVinci Commerce hit the market at exactly the right time when all enterprises are wanting to leverage AI to adapt to the rapidly changing consumer landscape of LLM-driven conversational commerce,” said Ash Lilani of Saama Capital.

“CPG brands globally are seeing tremendous opportunity to leverage first-party consumer data and conversational signals to engage with and acquire customers in a personalized way,” said Jerry Porter.  “Prior to commerce media and LLM powered Agentic Commerce, brands were often flying blind with little visibility into or engagement with the actual purchase. DaVinci Commerce makes it easy for brands to engage consumers and connect the dots between exposure, discovery and purchase, delivering powerful insights to brands and personalized experiences to consumers.”

Marketing Technology News: From MarTech Stack to MarTech Fabric: Weaving Brand, Content, and Conversion Into One Thread

DaVinci Commerce enables brands to operationalize agentic AI across commerce marketing through two core capabilities:

  • Commerce Content Optimization: Use AI to generate, optimize, and deliver ads and content for programmatic media, enabling personalization without sacrificing scale.
  • Commerce Media Activation: Launch AI-powered commerce media campaigns in under five minutes, dramatically reducing time-to-market while preserving brand, legal, and retailer guardrails.

Originally launched in August 2023, DaVinci Commerce now supports agentic shopping experiences that connect consumers directly with AI-driven shopping agents. Rather than sending users to crowded product landing pages, the platform generates personalized prompts and guided shopping conversations and discovery that help consumers evaluate options and complete purchases in real time—linking ad exposure to verified transaction data and incremental sales measurement.

The rebrand to DaVinci Commerce reflects the company’s commitment to leading the next era of commerce marketing—one where AI agents work alongside humans to accelerate execution without sacrificing trust or control.

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Plume Acquires Sweepr to Deliver AI-Orchestrated Customer Experience Platform to ISPs Globally

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Plume Acquires Sweepr to Deliver AI-Orchestrated Customer Experience Platform to ISPs Globally

Combined platform turns real-time network intelligence into guided and automated actions across every support channel – increasing digital engagement, reducing calls and truck rolls, lowering cost-to-serve, and improving subscriber confidence

Plume Design, Inc., the leader in intelligent services for ISPs serving connected homes and small businesses, announced the acquisition of Sweepr, an AI-powered customer-care orchestration platform built for service providers. Sweepr processed more than 1 million customer interactions in 2025, helping operators deliver outstanding digital care experience to subscribers.

Founded in 2018 and headquartered in Dublin, Ireland, Sweepr helps telecom operators deliver personalized support journeys that increase digital engagement, reduce call center costs, and improve customer satisfaction across use cases such as onboarding, technical support, and billing.

The acquisition brings together two complementary strengths: Plume’s real-time, device-level network intelligence and Sweepr’s AI-native, no-code orchestration engine that connects into the systems providers already rely on. The combined platform helps ISPs move from seeing an issue to solving it faster,often without a call. Using real-time home network context, AI recommends the next best action, guides agents and subscribers, and safely automates resolution.

“With Sweepr, we’re connecting AI to the moments that matter, like when a subscriber needs help,” said Dan Herscovici, President and CEO of Plume. “By combining Sweepr’s care orchestration with unmatched visibility across Plume’s global dataset, we’re turning network intelligence into action at scale. This is a landmark shift in how providers reduce costs, improve reliability, and build trust that drives long-term subscriber value.”

Marketing Technology News: From MarTech Stack to MarTech Fabric: Weaving Brand, Content, and Conversion Into One Thread

AI that improves with real-world signal and outcomes
Plume’s cloud platform connects nearly half a billion devices, creating an unmatched foundation of real-world network and device telemetry across diverse home environments. By combining that intelligence with Sweepr’s orchestration and interaction data, the platform continuously improves which actions work best in specific scenarios so providers can deploy proven workflows faster and refine them based on measurable results.

What the combined platform delivers for ISP operators
The combined offering unifies intelligence, automation, and care into one platform that can be deployed quickly and integrated deeply. Key capabilities include:

  • AI-guided diagnosis and resolution grounded in live in-home context — Detects issues, identifies likely root causes, and triggers the right workflow using real-time network and device signals.

  • Context that follows the subscriber across every channel — Delivers true omni-channel experiences across app, web, IVR, chat, socials and live agents, without making the subscriber repeat information.

  • Lower cost-to-serve through higher digital containment and faster agent resolution — Uses guided flows, dynamic knowledge, and recommends next best actions to reduce escalations, shorten handle time, and avoid unnecessary truck rolls.

  • Proactive care and prevention — Spots degrading in-home conditions early and solves or mitigates issues before the subscriber experiences a problem.

  • Fast time-to-value — Leverages no-code journey design, pre-built use cases, and integrations with existing OSS/BSS, CRM, IVR, CCaaS, and related operational systems.

“In customer care, context is everything,” said Alan Coleman, Co-Founder of Sweepr. “Sweepr adds context to every interaction — who the subscriber is, what equipment they have, what’s happening in the home right now, and what’s already been tried — so providers can solve the right problem the first time. Bringing that context together with Plume’s real-time network intelligence means fewer repeat calls, fewer truck rolls, and support journeys that feel clear and consistent for subscribers.”

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

Standalone Sweepr offering continues and expands to Plume customers
Sweepr will continue to be offered as a standalone platform, with ongoing support and continuity for existing customers. It will also be commercially available to Plume customers globally, extending its orchestration capabilities alongside Plume’s network intelligence. Together, the combined platform will enable providers to identify monetization opportunities by using real-time context and behavior to proactively engage subscribers with relevant offers.

Leadership and integration
Alan Coleman joins Plume as Chief Product Officer, leading combined product strategy and roadmap execution across the integrated platform. Before Sweepr, Coleman and Co-Founder Jim Hannon founded Brite:Bill, which was acquired by Amdocs in 2016. Hannon joins Plume as Chief Architect, focusing on technology and execution across the combined customer experience and orchestration roadmap. Coleman and Hannon bring deep telecom and broadband software experience and will work alongside Plume’s leadership team to accelerate outcomes for their service provider customers.

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HawkEye 360 Successfully Launches Cluster 13 and Establishes Initial Communications

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HawkEye 360 Successfully Launches Cluster 13 and Establishes Initial Communications

HawkEye 360, the global leader in signals intelligence data and analytics, announced the successful launch of its latest satellite trio, Cluster 13, and confirmed initial communications with the satellites. Cluster 13, integrated via Exolaunch, launched into a sun-synchronous orbit as part of the Twilight rideshare mission aboard a SpaceX Falcon 9 rocket.

This successful deployment and initial contact advance HawkEye 360’s ability to support U.S. Government and international partners with consistent, high-quality radio-frequency insights across multi-domain mission environments. Operating in a sun-synchronous orbit, the satellites provide consistent opportunities to collect RF data over key regions, strengthening the delivery of RF insights worldwide.

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“Cluster 13 strengthens our ability to provide the critical RF insights our partners need to navigate today’s complex mission landscape,” said John Serafini, CEO of HawkEye 360. “Alongside our recent acquisition and funding milestone, this launch reflects a continued investment in the technology, people, and capabilities our customers rely on, reinforcing HawkEye 360’s role as a leader in signals intelligence.”

The payload leverages advanced RF detection, enhanced onboard processing, and upgraded waveform-collection capabilities first introduced across recent launches. Together, these technologies capture a broader range of signals with greater clarity, improve geolocation performance, enhance onboard processing, and increase overall collection capacity. As a result, HawkEye 360 strengthens multi-domain mission support and enables customers to access RF insights more efficiently.

Marketing Technology News: Martech Interview with Meena Ganesh, Senior Product Marketing Manager @ Box AI

Following commissioning and on-orbit checkout, the satellites will integrate into HawkEye 360’s space-derived signals intelligence architecture. This integration advances the company’s use of scalable signal processing and AI-enabled analytics to detect, characterize, and geolocate radio-frequency activity worldwide, reinforcing HawkEye 360’s defense-tech mission to deliver trusted domain awareness and support critical operations for defense and government partners.

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