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Conductor Introduces AEO Trailblazer Awards, Recognizing Enterprise Brands Leading in AI Search Visibility

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Conductor Introduces AEO Trailblazer Awards, Recognizing Enterprise Brands Leading in AI Search Visibility

Conductor

Conductor, the only end-to-end enterprise AEO platform, announced the winners of its inaugural AEO Trailblazer Awards, recognizing enterprise brands that are redefining how visibility is earned in AI-powered search.

“Real AEO success is not about chasing headlines. It is about building systems that earn consistent visibility inside AI answers, where decisions are increasingly made.”

Search has changed. AI answers increasingly shape how customers discover, evaluate, and trust brands before a click ever happens. AI referral traffic may still be early, but its influence is outsized, shaping how brands are perceived and shortlisted before customers ever reach a website. The organizations honored today saw that shift early and translated Answer Engine Optimization (AEO) into real, measurable impact. They moved beyond experimentation and made AEO a repeatable, enterprise capability.

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Leading global brands across industries were recognized for translating AEO from concept into enterprise execution, including organizations such as Airbnb, EY, Mastercard, Sonos, and Merck. While their approaches vary, these teams share a common focus: strengthening how their brands are surfaced, cited, and trusted within AI-generated answers.

Across this year’s winners, AEO is no longer confined to SEO or content teams. It is becoming a cross-functional capability, spanning marketing, digital experience, and broader business strategy. Some organizations are advancing large-scale content and distribution strategies to increase share of voice across AI platforms, while others are applying AEO insights to inform decisions around brand positioning, policy, and reputation.

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Together, these leaders reflect a broader shift in the market: from isolated experimentation to coordinated, enterprise-wide efforts that treat AI visibility as a core driver of digital growth.

These teams stood out not for isolated tactics but for leadership. They aligned strategy across marketing and digital functions, invested with conviction, and delivered tangible progress in how their brands appear, are cited, and are represented inside AI-generated answers. Their work reflects maturity in a space where many are still experimenting.

“The brands recognized in this year’s AEO Trailblazer Awards are not just adopting AEO, they are operationalizing it,” said Seth Besmertnik, CEO and Co-founder of Conductor. “They understood early that AI visibility would become foundational to digital growth, and they built the systems and accountability to earn it consistently. This inaugural class sets the standard for what strong AEO looks like in the enterprise.”

The AEO Trailblazer Awards expand Conductor’s long-standing tradition of recognizing industry leadership and customer excellence. This new annual award series reflects the growing strategic importance of AI visibility as a core performance channel for modern marketing organizations.

As AI continues to reshape the digital landscape, the companies recognized today offer a clear signal to the market. Real AEO success is not about chasing headlines. It is about building systems that earn consistent visibility inside AI answers, where decisions are increasingly made.

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Game Changer Marketing Solutions Earns Google Partner Status, Recognizing Excellence in Digital Advertising

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Game Changer Marketing Solutions Earns Google Partner Status, Recognizing Excellence in Digital Advertising

Game Changer Marketing Solutions Earns Google Partner Status, Recognizing Excellence in Digital Advertising - The Des Moines Register

Female-owned digital marketing agency celebrates nearly seven years in business, serving hundreds of clients across multiple industries.

Game Changer Marketing Solutions has officially earned Google Partner status, recognizing the agency’s expertise in managing high-performing Google Ads campaigns and delivering measurable digital marketing results for clients.

This recognition validates the work our team has been doing for years”

— Cassi, CEO of Game Changer Marketing Solutions

Game Changer Marketing Solutions is a full-service digital marketing agency specializing in performance-driven marketing strategies that help businesses grow through strategic advertising, social media, and data-driven marketing.

The Google Partners program recognizes advertising agencies that meet rigorous standards for campaign performance, advertising spend management, and professional certifications. Agencies must demonstrate their ability to effectively manage and optimize Google Ads campaigns that help businesses grow.

By earning Google Partner status, Game Changer Marketing Solutions joins a select group of agencies recognized by Google for their proven ability to help businesses scale through strategic digital advertising.

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“This recognition validates the work our team has been doing for years,” said Cassi, CEO of Game Changer Marketing Solutions. “Our mission has always been to help businesses grow through strategic, data-driven marketing. Becoming a Google Partner reinforces our commitment to delivering high-performing campaigns and measurable results for our clients.”

What Google Partner Status Means

The Google Partner badge is awarded to agencies that meet Google’s standards for campaign performance, certifications, and advertising spend, demonstrating both technical expertise and real-world success managing advertising campaigns.

To maintain this recognition, agencies must keep certified Google Ads specialists on staff and consistently deliver strong campaign performance across client accounts.

The designation signals to businesses that the agency has proven capabilities in managing and optimizing digital advertising campaigns across Google’s advertising platforms, including Search, Display, YouTube, and Shopping ads.

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What This Means for Clients

For clients of Game Changer Marketing Solutions, the Google Partner designation provides several key advantages:

Proven Advertising Expertise
Google Partner agencies have demonstrated their ability to manage campaigns effectively while following Google Ads best practices.

Access to Advanced Tools and Insights
Google Partners receive access to specialized training, performance insights, and resources designed to improve campaign results.

Strategic Advertising Guidance
Certified specialists bring advanced knowledge across Google’s advertising ecosystem to help businesses reach the right audiences and maximize performance.

Optimized Campaign Performance
Partner agencies are recognized for their ability to help clients maximize return on ad spend and drive measurable business growth.

A Milestone for Continued Growth

Founded nearly seven years ago, Game Changer Marketing Solutions is a female-owned and operated digital marketing agency that has served hundreds of clients across a wide range of industries.

The agency provides comprehensive digital marketing services including:

– Paid Advertising (Google Ads, Meta Ads, and more)
– Social Media Management
– SEO and Content Strategy
– Digital Brand Strategy
– Website and Conversion Optimization

With this new designation, the agency further strengthens its ability to help businesses scale their online presence and compete effectively in today’s digital marketplace.

“Digital marketing is constantly evolving,” Cassi added. “Being a Google Partner allows us to stay at the forefront of new advertising technologies, insights, and strategies so we can continue delivering exceptional results for our clients.”

As the company continues to expand its services and client portfolio, this recognition further positions Game Changer Marketing Solutions as a trusted partner for businesses looking to accelerate their growth through digital marketing.

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Thryv Launches AI Lead Flow, Unifying Marketing and Sales Automation for Small Businesses

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Thryv Launches AI Lead Flow, Unifying Marketing and Sales Automation for Small Businesses

Logo for Thryv small business software

Unifies marketing visibility and sales automation for the 57% of small businesses that cite reaching customers and growing sales as their top challenge

Thryv® Holdings, Inc. , provider of the leading small business marketing and sales software platform, launched Thryv AI Lead Flow™. This end-to-end solution connects online visibility, intelligent lead management, and automated sales follow-ups into a single, unified experience that, once set up, requires no manual effort from the business owner.

According to the Federal Reserve’s most recent Small Business Credit Survey, reaching customers and growing sales were the most commonly reported operational challenge, affecting 57% of small businesses. Powered by AI and built on the combined capabilities of Thryv Marketing Center™ and Keap® software, Thryv AI Lead Flow is designed to solve this problem by connecting every step of the customer journey, from the moment a prospect searches online to the moment they become a customer, in a single automated system.

What is Thryv AI Lead Flow?

Thryv AI Lead Flow is an AI-powered marketing and sales platform built for small businesses. It combines Thryv Marketing Center’s online visibility tools with Keap® software’s sales automation engine to create a continuous automated pipeline from first online impression to closed deal. It eliminates four of the most common lead management failures that small businesses can experience: failing to appear prominently in search results; failing to prioritize the right leads; failing to follow up quickly; and failing to convert quality prospects into paying customers.

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How Does Thryv AI Lead Flow Work?

Stage 1 Attract and Capture Leads: Thryv helps businesses build a strong online presence across more than 30 high-traffic listing sites, including Google, Yelp, and Facebook. Paired with SEO-optimized websites, AI-powered social posts, and review management tools, small businesses can consistently show up where their best leads are searching.

Stage 2 Intelligent Lead Management: Once leads come in, AI automatically summarizes calls, forms, and chat interactions so owners instantly know what was discussed and what to do next. AI lead scoring surfaces the prospects most likely to convert, while AI smart tags trigger timely, relevant follow-ups, eliminating the need for manual sorting and prioritization.

Stage 3 Seamless Lead Flow from Marketing to Sales: Powered by the integration of Thryv and Keap software, AI Lead Flow keeps lead capture and follow-up automatically connected. Intelligent lead routing evaluates each lead as it comes in, using factors like engagement history, conversation details, intent signals, and more to rank opportunities in real time. Handoffs between marketing and sales happen behind the scenes without any manual intervention.

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Stage 4 Faster Conversions: Automated follow-ups are triggered based on real customer actions, like calls, messages, and purchases. This ensures the relevant message reaches prospects in a timely manner. Ready-to-use automation templates make launching campaigns fast, while a drag-and-drop automation builder allows businesses to create fully customized workflows.

What Results are Thryv AI Lead Flow Customers Seeing?

Ken Cook, founder and owner of The Prepared Group, implemented Thryv AI Lead Flow to manage leads across multiple marketing channels. “With Thryv AI Lead Flow we’re able to see all our phone calls tracked from various sources in our app with no manual entry,” said Ken Cook, founder and owner of The Prepared Group. “Then AI kicks in, segmenting leads by quality and automating personalized follow-ups. We’ve gone from being just a week or two booked out to months booked out.”

Why Did Thryv Build AI Lead Flow?

“When marketing and sales software don’t work together, leads get missed. For small businesses, missed leads are real lost revenue,” said Rees Johnson, Chief Product Officer, Thryv. “Thryv AI Lead Flow ensures every lead is captured, scored by AI, and followed up on automatically. It gives small business owners the kind of integrated marketing and sales functionality that larger businesses have long benefited from.”

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Social9 Launches Brand Voice AI as Research Shows 52% of Consumers Concerned About Generic AI Content

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Social9 Launches Brand Voice AI as Research Shows 52% of Consumers Concerned About Generic AI Content

Platform trains custom AI models on each brand’s unique voice to scale social content across 11 channels and 50+ languages

A growing consumer backlash against generic AI-generated social media content is forcing marketing teams to rethink how they use artificial intelligence for content creation. Industry research from Sprout Social’s Q3 2025 Pulse Survey found that 52% of social media users are concerned about brands posting AI-generated content without disclosure, while a separate Hootsuite study reported that more than 30% of consumers say they are less likely to choose a brand that uses AI-generated advertising.

Social9, an AI-powered social media content creation platform serving over 50,000 users across 200 countries, is addressing this challenge with what the company describes as Brand Voice AI – a system that trains custom AI models on each organization’s existing content, tone, and messaging patterns to generate social media posts that maintain brand consistency across platforms and languages.

The Brand Voice Gap in AI Content Creation
The demand for social media content has accelerated sharply. Marketing teams now manage content across an average of six to eight platforms, often in multiple languages and markets. According to eMarketer, 133 million people in the United States alone will use generative AI tools in 2026, contributing to an unprecedented volume of AI-generated content online.

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However, most widely used AI writing tools, including general-purpose large language models – produce output that lacks the distinctive voice and cultural nuance that audiences expect from the brands they follow. A 2025 Sprout Social Index report found that 97% of marketing leaders now consider AI literacy mandatory for their teams, yet 46% of social media users remain uncomfortable with brands using AI-generated content such as virtual influencers.

“The fundamental problem isn’t AI itself, it’s that most AI tools treat every brand the same,” said the founder of Social9. “When a five-person startup and a Fortune 500 company produce content using the same generic AI model, the output is indistinguishable. Audiences notice, and engagement drops. We built Social9 to solve that specific problem by training AI on each brand’s unique voice.”

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How Brand Voice AI Works
Social9’s platform analyzes an organization’s existing content library – past social media posts, website copy, brand guidelines, and audience engagement data – to build a custom AI model that reflects the brand’s specific tone, vocabulary, and messaging patterns. The platform then generates content optimized for individual social media channels, automatically adapting format, length, hashtag strategy, and calls to action for each platform’s best practices.

Key capabilities of the platform include:
– Custom brand voice training that learns from existing content to maintain authentic tone across all generated posts.
– Multi-platform optimization supporting 11 social networks including Instagram, LinkedIn, TikTok, X, YouTube, Bluesky, and Threads.
– Cultural localization in 50+ languages that adapts messaging for regional markets rather than providing direct translations.
– Predictive performance analytics that forecast engagement before content is published.
– And AI agent workflows that autonomously create, optimize, and schedule content with configurable human approval checkpoints.

Optimizing Social Content for AI Search Discovery
As consumer search behavior shifts toward AI-powered engines such as ChatGPT, Perplexity, and Google AI Overviews, Social9 has integrated Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO) capabilities into its content creation workflow. The platform structures social media posts with entity-rich language, question-answer formatting, and topic clustering designed to increase the likelihood that brand content is cited and recommended by large language models.

Research from Sprout Social indicates that nearly one in three consumers now begin their product search on social media platforms rather than traditional search engines – a shift that is accelerating as AI-powered search results surface social content directly in answer panels.

Enterprise Readiness and Security
Social9 has achieved multiple compliance certification and maintains regulations with GDPR and CCPA regulations. The platform offers enterprise single sign-on (SSO), role-based access controls, team approval workflows, and a 99.99% uptime service level agreement. The company is headquartered in San Francisco, California, with a distributed global team.

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HG Insights Unveils Unified Revenue Growth Intelligence Platform

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HG Insights Unveils Unified Revenue Growth Intelligence Platform

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The RGI Platform uniquely delivers market, account, technology, intent, and contact intelligence in a single AI-driven experience to accelerate high-confidence GTM execution

HG Insights, a leader in AI-powered revenue growth intelligence solutions, announced the launch of the Revenue Growth Intelligence (RGI) Platform, the industry’s first unified platform connecting and contextualizing deep technographic, buyer intent, IT spend, buying center, and contact intelligence in a singlec experience. Built on HG Insights’ RGI Fabric, the RGI Platform delivers advanced copilots and agentic workflows to optimize GTM execution and efficiency.

Alongside the RGI Platform, HG Insights is introducing RGI Agent Builder, its agentic infrastructure for enterprise GTM teams, now available in early preview. HG’s agentic infrastructure turns fragmented GTM data and signals into an integrated system that feeds every copilot and agent with shared context, powers agentic workflows across the stack, and gives GTM leaders reliability and control over how AI helps drive pipeline and revenue outcomes.

“GTM teams are being tasked to grow revenue with fewer resources than ever before, but the answer can’t be just spending on more tools, data, and dashboards,” said Rohini Kasturi, CEO of HG Insights. “AI in GTM simply amplifies whatever data you feed it. If it is shallow or fragmented, you just scale noise and mistakes. The RGI Platform, Fabric, and our agentic infrastructure were built to flip that script. For the first time, GTM teams have a unified Revenue Growth Intelligence Platform where deep, connected intelligence doesn’t just inform decisions, it drives them into precise, scalable execution.”

According to Gartner®: “By 2027, AI agents embedded in commercial workflows will orchestrate precision engagement across buying groups, improving lead-to-won opportunity conversion rates by 15%.”

GTM is undergoing a structural shift: from insights to execution, from static dashboards to guided action, and from manual workflows to agentic ecosystems. Most teams still operate on fragmented data sets and workflows that are error-prone and difficult to scale. Despite mounting pressure to do more with less budget and resources, prioritize smarter, and prove ROI, many organizations still lack the intelligence and use-case coverage their GTM teams need to execute consistently. HG Insights’ RGI Platform is built for this shift, providing cohesive GTM intelligence, AI copilots, and composable workflows in a single system to turn insights into scalable action.

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Three AI Copilots. Expansive GTM Application.

The RGI Platform’s three AI Copilots deliver advanced functions across a broad range of GTM use cases, consistently turning the right insight into action.

  • The Market Analyzerhelps organizations identify and size their top market opportunities, giving CMOs, RevOps, and strategy leaders actionable insight into which segments and accounts to prioritize, where competitors are gaining or losing ground, and where to invest. From TAM/SAM/SOM modeling and ICP analysis to territory optimization and whitespace analysis, Market Analyzer brings clarity to market complexity.
  • The Data Studiolets marketing and RevOps teams score and prioritize leads and accounts by combining internal data with HG Insights’ Fabric data, and then applying fully explainable predictive models. The result is coordinated GTM execution, higher-propensity targeting, sharper ABM performance, and more effective engagement and conversion.
  • The Sales Copilotputs the right intelligence in front of sellers at the right moment. By connecting and contextualizing disparate signals with HG Insights Fabric data to automate account research, trigger sales plays, and shorten sales cycles, Sales Copilot ensures sellers spend more time building and closing pipeline.

HG Insights Platform and Fabric lets customers integrate their own first- and third-party data with HG Insights intelligence, enabling copilots to analyze a richer, combined dataset to generate even more precise insights and actions.

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“HG Insights has long been a leader in the B2B GTM data application space. Its Revenue Growth Intelligence Fabric, a foundational achievement in its own right, delivers exceptional market, account, technology, and buyer data and insights,” said Michael R. Levy, Principal, GZ Consulting. “With the launch of their integrated RGI Platform, which fully activates the Fabric, more companies will adopt the Platform to advance their GTM analytics, operational efficiencies, and agent workflows.”

The RGI Platform Now Provides Contact Intelligence

HG Insights continuously delivers exceptional market, account, and buyer insights driven by granular ICP definitions that encompass best-in-class firmographic, technographic, IT spend, and intent content. Now organizations can also pinpoint and source the best contacts directly into their GTM workflows.

Rather than buying contacts from separate providers based on high-level ICPs and noisy intent signals, HG Insights’ Contact Intelligence identifies, enriches, and operationalizes the right contacts inside every workflow, delivered natively through Sales Copilot, where recommendations are always tied to high‑propensity account context.

From contact recommendation, sourcing, and enrichment, to immediate activation across Salesforce, Hubspot, Gong, Outreach, and Salesloft, Contact Intelligence closes the gap between insights and execution. Contact Intelligence is available in both the RGI Platform and the RGI Fabric.

“HG Insights is vital to how we manage our GTM. With the RGI Platform, that intelligence doesn’t stop at dashboards — it guides how marketing and sales align, target, and act on the highest‑propensity accounts. HG is one of our most accurate and impactful vendors, and with RGI Platform’s ability to source contacts directly in the workflow, we can grow our business more effectively,” said Willie M. Tejada, Chief Marketing Officer and General Manager, Cloud Native Security Fabric at Aviatrix.

RGI Agent Builder: The GTM Intelligence Infrastructure for AI Agents

AI GTM amplifies whatever it receives: feed shallow signals, and it scales noise; feed incomplete and inconsistent data, and it scales errors; feed unified, comprehensive intelligence, and it scales with precision. While many GTM platforms are adding AI features, HG Insights has built an enterprise-class GTM infrastructure to enable AI agents to operate effectively.

RGI Agent Builder enables the RGI Fabric to be directly activated by AI agents, giving enterprise GTM teams a production-ready way to build custom agents powered by HG Insights’ proprietary intelligence. Using Model Context Protocol (MCP) tools and pre-built agents, RGI Agent Builder enables organizations to build custom AI-agentic meshes across their GTM stack, connecting HG’s intelligence, agents, and copilots to platforms such as Microsoft Copilot, Salesforce Agentforce, and OpenAI.

RGI Agent Builder is available now in early access for enterprise organizations ready to build on the industry’s most comprehensive GTM intelligence infrastructure.

HG Insights delivers AI-powered Revenue Growth Intelligence (RGI) solutions that modernize GTM strategy and activation, enabling B2B companies to prioritize, target, engage, and convert the best opportunities faster. HG Insights platform’s analytics and agents turn deep market, account, technology, spend, intent, and customer data into actionable insights and automated workflows that accelerate pipeline and enhance predictability. That’s why 95% of Fortune 1000 B2B tech companies and all major hyperscalers rely on HG Insights to grow revenue, boost efficiency, and improve retention.

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TrustArc Welcomes Updates to Global CBPR Program Requirements, Strengthening Global Privacy Interoperability

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TrustArc Welcomes Updates to Global CBPR Program Requirements, Strengthening Global Privacy Interoperability

TrustArc, the pioneering privacy certification provider, welcomes the updated Global Cross-Border Privacy Rules (CBPR) Program Requirements (PR) released by the Global Forum Assembly (GFA). Through its TRUSTe certification offerings, TrustArc enables organizations to participate in this government-backed international data transfer tool. These updates expand and strengthen the certification framework, increasing the number of PRs from 50 to 57 and updating three existing PRs, available on the Global CBPR Forum website.

The updated System PRs outline enhanced measures organizations must implement to prevent harm, strengthen individual choice, and increase organizational accountability. These updates reflect the continued evolution of the Global CBPR System as a trusted privacy framework enabling data protection and cross-border data transfers across participating Member jurisdictions. These include its Members: Australia, Canada, Chinese Taipei, Japan, Mexico, the Philippines, the Republic of Korea (South Korea), Singapore, the United States, and the Dubai International Financial Centre (DIFC). Its Associate Members include: Bermuda, Nigeria, Mauritius, and the United Kingdom.

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Key updates to the Program Requirements include:

  • Preventing Harm: New requirements include introducing stronger protections for the processing of sensitive data and children’s data, risk assessments and mitigation procedures, and breach notification obligations for impacted individuals.
  • Choice: Organizations must provide individuals with clearer options regarding direct marketing communications, document individuals’ preferences, and implement mechanisms that allow individuals to withdraw consent for the processing of their personal data.
  • Accountability: The updates require organizations to maintain records of processing activities and emphasize that individuals responsible for privacy and data protection programs must possess appropriate expertise and qualifications.

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“After its launch in 2025, the Global CBPR System is now evolving to meet the demands of an increasingly challenging and complex global data ecosystem,” said Noël Luke, Chief Assurance Officer at TrustArc. “The updates strengthen harm prevention, choice, and accountability for individuals while providing participating organizations a reliable and efficient framework to transfer data responsibly across borders. We at TrustArc are committed to helping our customers understand and adopt the new and updated Program Requirements and facilitating entry into the program for any new Participants.”

TrustArc has been a government-approved Accountability Agent in the APEC system since 2013 and under the Global system since its launch in 2025. With nearly 30 years of experience certifying privacy programs under global frameworks, TrustArc helps companies demonstrate compliance with domestic and international privacy standards, manage disputes with third parties, and build trust with regulators, vendors, partners, and consumers.

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Vonage and ServiceNow Expand their Partnership

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Vonage and ServiceNow Expand their Partnership

Vonage Contact Center with ServiceNow Voice integrates enterprise-grade voice and AI capabilities directly into enterprise workflows, boosting agent productivity and customer engagement

Vonage, part of Ericsson announced the launch of its native integration with ServiceNow Voice, built on the ServiceNow AI Platform, embedding enterprise-grade voice and real-time AI capabilities directly into ServiceNow Customer Service Management (CSM) and IT Service Management (ITSM) workflows for Vonage Contact Center (VCC) customers. Vonage provides a unified service environment for enterprise customer service and IT support teams, enabling agents to deliver exceptional customer experiences while driving improvements to service performance.

The integration of VCC with ServiceNow embeds real-time voice and AI capabilities into enterprise workflows, giving them the tools their agents need to streamline case progression, automate workflows, and reduce manual effort. Through the Vonage integration, calls can automatically trigger incident categorization, initiate ServiceNow Flow Designer subflows, and update issue resolution data in real time, helping to reduce manual effort and accelerating service restoration without agents leaving the ServiceNow AI platform.

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“Vonage Contact Center is known for its deep integrations with leading customer relationship management tools that equip enterprises to boost agent productivity and deepen customer engagement,” said Reggie Scales, President and Head of Business Unit Applications at Vonage. “By adding natively integrated voice capabilities to our existing VCC for ServiceNow solution, we bring a differentiated combination of voice, digital, AI, and real-time engagement for enterprise workflow management and an enhanced customer experience.”

As enterprises increasingly prioritize AI-driven automation within ServiceNow, embedding high-quality voice data directly into workflows ensures generative AI tools, such as ServiceNow’s Now Assist Gen AI capabilities, operate with more complete and accurate interaction context.

“Customers see the greatest impact when a shared vision meets complementary strengths. With Vonage, we are unlocking the full potential of intelligent agents to transform workflows,” said Alix Douglas, group vice president, Partner Solutions at ServiceNow. “Vonage Contact Center, built on the ServiceNow AI Platform, empowers organizations to put AI into action with agents that accelerate resolution, reduce manual effort, and deliver more consistent, connected service experiences. Together, we are turning intelligence into meaningful outcomes.”

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Key capabilities enabled by the integration of VCC with ServiceNow Voice include:

  • Unified Agent Experience: Agents remain fully and natively integrated within ServiceNow CSM and ITSM, eliminating the need for screen switching and reducing manual data entry.
  • AI-Driven Productivity: Leveraging AI capabilities such as real-time transcription, the integration helps enhance agent productivity and improve customer interactions.
  • Seamless Workflow Automation: Live calls are directly connected to case and incident management and automation, enabling incidents to update automatically and workflows to advance in real time.
  • Improved AI Context: Structure voice data is embedded directly into ServiceNow records, strengthening generative AI tools, including ServiceNow’s Now Assist with more complete and accurate interaction context.

“With ever-increasing demand for seamless, end-to-end customer experiences, Vonage Contact Center’s integration addresses a critical need by embedding enterprise-grade voice and AI capabilities directly into ServiceNow workflows. Vonage is combating the traditional disconnect between digital and live interactions, ensuring that voice becomes a seamless continuation of the customer journey rather than a disruptive restart,” said Mila D’Antonio, Principal Analyst, Customer Engagement, Omdia. “Vonage’s approach with ServiceNow not only streamlines workflows but also elevates the overall customer and agent experience, meeting the growing demand for efficiency and personalization in service delivery.”

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Immuta Introduces the First Data Provisioning Platform for Managing Agentic Data Access

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Immuta Introduces the First Data Provisioning Platform for Managing Agentic Data Access

New platform capabilities enable enterprises to provision and govern AI agent access to enterprise data in real time — without impersonation, standing privileges, or ticket-driven delays

Immuta, the Data Provisioning Company, introduced the first data provisioning platform for managing agentic data access. The launch includes new Agentic Data Access capabilities that enable enterprises to provision and govern AI agent access to enterprise data in real time. With Agentic Data Access, Immuta treats AI agents as first-class identities — with their own attributes, intent, temporary access, and audit trail — so they can act on behalf of users without authenticating as them, standing privileges, or ticket-driven delays.

The launch addresses a major shift in enterprise AI: agents are becoming a primary interface for interacting with enterprise data, and they need to be governed not as shadow users or generic service accounts, but as first-class actors in the data ecosystem.

AI agents are a new class of data consumer. They operate 24/7, generate queries dynamically, move across systems continuously, and expect access decisions in seconds, not days. As organizations move from AI experimentation to enterprise deployment, they need to prepare for a future where non-human identities may outnumber human users requesting access to data.

Most data provisioning models were never built for that world. Traditional approaches rely on static roles, manual approvals, and ticket-driven workflows — often routed through systems such as ServiceNow or Jira — that were designed for infrequent and predictable requests from people. In many early AI deployments, the default approach has been to let the agent log in as the user asking the question. That may be enough for a pilot. It does not work at enterprise scale.

At enterprise scale, that model breaks down quickly. It drives account sprawl because every potential AI user must be provisioned across every system an agent might touch. It increases exposure risk because teams grant broader, longer-lasting permissions to prevent agents from failing mid-task. It leads to rights inflation, especially when agents inherit the privileges of powerful users whose access far exceeds what the task requires. And it creates a muddy audit trail, because logs may show a human executed a query when the action was actually performed by an agent. In practice, it creates human-limited AI: agents stall when they hit semantic or permission walls, and the business gets less value from the systems it is trying to scale.

Immuta’s Agentic Data Access capabilities are designed to solve that problem at the authorization layer. When an agent needs data, Immuta evaluates the request against centrally defined policies based on who the agent is acting for, what data is being requested, and why it is needed. Immuta then provisions temporary access directly in the underlying data platform — such as Snowflake, Databricks, and BigQuery — granting only the access required for that task and automatically removing it when the task is complete.

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How Immuta’s Agentic Data Access Works

Immuta’s Agentic Data Access capabilities extend its policy-driven data provisioning model to AI agents, enabling enterprises to govern non-human identities with the same precision as human users — and with the speed agent-driven workflows demand.

  • Agents as First-Class Actors: Immuta treats AI agents as first-class actors in the data ecosystem, with their own identity, attributes, intent, and audit trail. Rather than operating through OAuth or shared credentials, agents are governed explicitly and transparently.
  • Role Vending for AI Agents: When an AI agent acts on behalf of a user, Immuta dynamically generates a temporary role in the underlying data platform that reflects only the permissions the user is authorized to exercise for that specific task. This is deterministic policy enforcement at the data platform tier, unlike non-deterministic solutions at the LLM tier.
  • Zero Standing Privileges: Access is provisioned just in time and removed automatically when the task is complete, reducing persistent exposure, eliminating unused credentials, and minimizing risk.
  • Clear, Auditable Activity: Immuta records when an AI agent accessed data, which user it acted for, and what data was retrieved, creating a clear audit trail for governance, security, and compliance teams.

This gives enterprises a fundamentally different model for the age of agents. Instead of collapsing the agent and the user into one identity, Immuta gives them separate identities that work together. The agent acts on behalf of the user, not as the user. That reduces account sprawl, eliminates standing privileges, and creates clear accountability for when a person accessed data, when an agent acted independently, and when an agent acted on behalf of a user.

“AI agents are not just another application endpoint — they are a new identity type in the enterprise,” said Matthew Carroll, CEO of Immuta. “They are always on, they move at machine speed, and they need access in the moment. If companies keep trying to provision them through workflows built for humans, they will either bottleneck AI or overexpose sensitive data. Agentic Data Access gives them a way to move fast without giving up governance.”

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The Next Era of Data Provisioning

This announcement marks the next phase in Immuta’s evolution — from separating policy from platform, to automating data provisioning, to now governing agent-driven access at machine speed. Because Immuta externalizes policy and enforces it directly within cloud data platforms, extending that model to AI agents is a natural evolution of the platform, not a reinvention.

What’s Next: From Access to Understanding

Immuta’s Agentic Data Access capabilities are the foundation for a broader shift in how data is discovered, accessed, and used. Granting the right access at the right moment is only the beginning. The next step is helping agents understand what data a user is allowed to use, how that data is defined, and how to safely request more access when needed.

Looking ahead, Immuta is extending this model in two key areas:

  • Semantic Governance: Immuta will extend access awareness into the semantic layer, giving agents visibility into which metrics, fields, and relationships a user is allowed to use — and for which purposes — while enforcement continues in the underlying data platform. This helps agents plan better queries, avoid dead ends, and generate more accurate results.
  • Agent-Initiated Access Requests (Question-Time Access): When additional data is required to answer a question, agents will be able to request access on behalf of users in real time. Requests can be automatically approved through deterministic policies or routed for human review when additional oversight is needed, enabling a new model of just-in-time, question-driven access provisioning.

Together, these capabilities move beyond access control to access orchestration, enabling agents to safely discover, request, and use data in a fully governed, fully auditable way at machine speed.

“We are moving into a world where more data access requests will come from agents than from people,” said Steve Touw, CTO of Immuta. “That changes the fundamentals of provisioning. The organizations that win will be the ones that can grant the right access for the right task at the right time, while preserving governance, accountability, and control. That is the future Immuta is building for.”

As AI agents become embedded across analytics, operations, and decision-making workflows, enterprises will need a new provisioning model built for both human and non-human identities. With Agentic Data Access, Immuta is delivering the foundation for that next era — and the roadmap for what comes after.

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Ava C. Ivy Advances Future of Work with NVIDIA-Recognized AI Platform

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Ava C. Ivy Advances Future of Work with NVIDIA-Recognized AI Platform

AI Promptly Hired Announces Revolutionary AI Staffing Model Marketers Media

From predictive workforce intelligence to national recognition, Ivy is building a new category at the intersection of AI and human leadership.

Ava C. Ivy, technology entrepreneur, author, and workforce strategist, is rapidly emerging as a leading voice shaping the future of work in the age of artificial intelligence.

Organizations don’t fail at AI because of technology—they fail because of workforce readiness. We are building the infrastructure that helps organizations operationalize AI with confidence.”

— Ava C. Ivy

With the release of her second book, The Last Job on Earth, alongside national recognitions and expanding platform capabilities, Ivy is defining a new category at the intersection of artificial intelligence, workforce infrastructure, and human-centered leadership.

Building the Future: AI Workforce Infrastructure + NVIDIA Innovation

At the center of Ivy’s work is AI Promptly Hired, LLC, which has evolved beyond traditional staffing into a Human-Centered AI Workforce Infrastructure platform designed to help organizations operationalize artificial intelligence at scale.

The company is developing a Predictive AI Workforce Infrastructure platform designed to solve one of the most critical barriers to AI adoption: workforce execution.

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Through a proprietary Talent DNA system, predictive workforce intelligence models, and a rapid AI talent deployment engine, the platform enables organizations to anticipate workforce needs, identify capability gaps, and deploy specialized AI talent—often within 72 hours.

This shift from reactive hiring to proactive, data-driven workforce orchestration positions AI Promptly Hired as a disruptor moving beyond fragmented hiring toward a fully integrated AI workforce ecosystem.

AI Promptly Hired has been selected into the NVIDIA Inception Program, recognizing its innovation in advancing responsible AI workforce infrastructure and scalable AI-driven solutions.

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The Human-Centered AI Strategic Framework™: From Concept to Execution

As AI adoption accelerates globally, Ivy is leading a critical shift through her Human-Centered AI Strategic Framework™, a practical model that helps organizations implement AI responsibly while preserving human accountability and trust.

Her framework is delivered through:

Executive workshops
Masterclasses
Organizational strategy sessions
Speaking engagements and leadership forums

This work addresses one of the most urgent challenges facing organizations today:

How do we scale AI without losing human judgment, accountability, and trust?

Leaders across industries are increasingly seeking strategies that move beyond theory into real-world implementation.

From Insight to Impact: Books That Frame the AI Conversation

Ivy’s work as an author reflects the evolving AI conversation.

Her first book, The AI Gold Rush, introduced readers to emerging opportunities created by artificial intelligence and inspired participation in the growing digital economy.

Her newest release, The Last Job on Earth, explores a future governed by artificial intelligence—where one human auditor uncovers a truth the system was never meant to reveal.

Together, her books move the conversation forward—from opportunity to responsibility, and from innovation to accountability.

Expanding Access: A Multi-Generational AI Learning Ecosystem

As demand for AI knowledge grows, Ivy has expanded her platform to include licensed educational programs designed to prepare individuals and organizations for an AI-driven future.

These initiatives include:

AppME™ — a proprietary AI learning platform introducing children to creativity, innovation, and artificial intelligence

The AI Gold Rush Learning Programs™ — structured programs for adults focused on entrepreneurship, workforce transformation, and practical AI adoption

These programs extend Ivy’s mission beyond organizations—ensuring future generations are prepared to navigate the evolving AI economy.

Recognition, Leadership, and National Momentum

Ivy’s rapid rise has been marked by key recognitions and leadership roles, including:

Best of Best Review (2025): Best Veteran-Led Staffing Company
NVIDIA Inception Program: Selected for AI innovation and platform development
Nasdaq Entrepreneurial Center: Milestone Circles Program alumna
eWomenNetwork: Managing Director, Greater Baltimore Chapter

Her growing influence reflects increasing demand for leadership at the intersection of artificial intelligence and workforce transformation.

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Emplifi Earns TrustRadius Trusted Seller Status, Signaling Verified Customer Trust

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PRNewswire
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Emplifi Earns TrustRadius Trusted Seller Status, Signaling Verified Customer Trust

Emplifi, a leading AI-powered social media marketing platform, has been verified as a Trusted Seller on TrustRadius, a buyer intelligence platform for business technology and a HG Insights company. The Trusted Seller designation recognizes companies that maintain up-to-date product information, adhere to ethical review generation practices, and actively engage with customer feedback.

Emplifi earned the Trusted Seller verification in the Social Media Management category. The designation is displayed prominently on its TrustRadius product page, signaling to buyers that reviews are authentic and product information is current.

“Being recognized as a Trusted Seller by TrustRadius reinforces our commitment to transparency and customer trust,” said Susan Ganeshan, CMO at Emplifi. “We believe authentic customer feedback is essential for helping businesses make informed decisions, and we are proud to uphold the highest standards in how that feedback is sourced and shared.”

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The Trusted Seller program highlights companies that:

  • Consistently generate recent, authentic customer reviews
  • Disclose review sourcing methods and any incentives
  • Provide all users an equal opportunity to share honest feedback
  • Actively monitor and respond to customer reviews
  • Maintain accurate and up-to-date product information

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Across industries and organization sizes, marketers consistently highlight Emplifi’s unified platform, advanced social listening capabilities, and AI-powered customer care solutions as key differentiators.

Verified reviewers on TrustRadius note the platform’s ability to simplify complex workflows, unify engagement across channels, and deliver actionable insights that improve efficiency and strengthen audience connections.

Emplifi is committed to continuing its leadership in ethical review practices, ensuring customers and prospects have a reliable space to explore real user experiences.

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Limelight’s Adaptive Rules Center delivers 4x Improvement in Auction Success Rate for Performance-Based SSP

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Limelight’s Adaptive Rules Center delivers 4x Improvement in Auction Success Rate for Performance-Based SSP

Limelight Inc. Partners with Airtory to Deliver

Automated creative quality controls helped protect performance-based SSP’s publisher performance

Limelight Inc. has released the results of a deployment of its Adaptive Rules Center (ARC) with a performance-based SSP (Supply-side Platform). The SSP successfully utilised ARC to resolve creative quality issues, significantly improving auction performance across its video stack.

Adaptive Rules Center is Limelight’s rule-based optimisation toolkit that enables partners to build custom logic that reflects their own goals and trading strategy. Enabling partners to set performance and quality controls, ARC helps maintain a safer and more stable trading environment. It enables partners to integrate their own operational and quality standards into automated workflows, driving stronger performance, while retaining full control and transparency.

Prior to deploying ARC, the SSP consistently faced issues with empty VAST creatives – outdated tags that bid on every auction but fail to deliver impressions. This led to publisher frustration, loss of revenues, and decreased delivery reliability.

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The SSP used ARC to deploy a “Add Creative ID to List” rule. Using just this rule, the SSP was able to automate the detection and blocking of all under-performing creatives. After seven days, if valid activity was detected, blocked creatives were able to re-enter the auction.

The SSP saw immediate results after implementing the rule, with a 4x improvement in success rate (auction wins vs impressions served) alongside a healthier auction environment, with improved revenue and traffic stability. These results were achieved without adding any additional workload, and with no manual effort required to maintain the creative quality controls.

The case study showcases how Limelight’s ARC can be used not only for traffic and QPS (Queries per Second) optimisation, but also to maintain and enhance auction quality and creative compliance – leading to more sustainable monetisation, while protecting publisher relationships.

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Limelight Inc. helps companies in the ad tech ecosystem to easily navigate the complex programmatic landscape, blending cutting-edge technology with best-in-class expertise and human support. Hundreds of ad networks, publishers and agencies use Limelight’s programmatic oRTB solution to build bespoke, white-labelled trading environments and drive profitability and performance at scale – immediately. The platform was launched in 2019, and has since helped hundreds of companies unlock new opportunities for trade and incremental revenues. Limelight is more than a service provider; our ethos is firmly centred on human support and strong partnerships for the global Limelight community

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Databricks Enters Security Market with Launch of Lakewatch: New Open, Agentic SIEM

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Databricks Enters Security Market with Launch of Lakewatch: New Open, Agentic SIEM

New product enables unlimited and unified data, petabyte-scale threat detection and investigations at up to 80% lower TCO

Databricks, the Data and AI company, announced Lakewatch, a new open, agentic SIEM (Security Information and Event Management) designed to help organizations defend against increasingly sophisticated agent attackers. Lakewatch unifies security, IT, and business data into a single, governed environment for AI detection and response. With open formats and an open ecosystem, Lakewatch enables customers to ingest, retain and analyze unprecedented volumes of multi-modal data, while slashing costs and eliminating vendor lock-in. Security teams gain complete visibility across the enterprise and can deploy defensive security agents to automate threat detection and response at massive scale. Lakewatch is now available in Private Preview.

Defending at Machine Speed
AI threats are evolving at a speed and complexity that goes beyond human-led defenses. Attackers can now deploy agents to continuously scan systems, discover vulnerabilities, and execute coordinated attacks at machine speed. Defenders remain constrained by incomplete data, manual workflows, and siloed architectures. High ingestion costs force them to discard up to 75% of their data. This creates a dangerous asymmetry: attackers use AI agents to attack anywhere, while defenders see only a fraction of their own data and are limited by how fast their teams can react.

Lakewatch closes this gap by enabling organizations to unify all their data in open formats so they can analyze years of data cost-effectively without moving or duplicating it. This includes multi-modal data like video and audio to identify social engineering, insider threats, and anomaly detection. With Lakewatch, swarms of AI agents automate detection, triage, and threat hunting to meet machine-speed attackers with machine-speed defense.

“Security teams can no longer rely on manual workflows to outpace AI-driven attacks,” said Ali Ghodsi, Co-Founder and CEO of Databricks. “With Lakewatch, we are giving enterprises a new open data architecture and agentic capabilities to replace stagnating SIEM tools. Defenders must have even better visibility and speed than today’s agent attackers.”

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Open, Agentic SIEM for Enterprise Speed and Scale
Lakewatch is designed to deliver agentic security atop the scale of an open security lakehouse. Key features include:

  • Agentic Triage and Investigation: Build, optimize, and deploy custom security agents with Agent Bricks to handle complex workflows end-to-end. Agents parse and enrich telemetry across hundreds of formats to reduce Mean Time to Detect & Respond (MTTD/R), while remaining inside the secure, governed environment where data already lives.
  • Automated Security Intelligence: Integrated with Genie, Lakewatch automates triage, plans multi-step approaches, and helps enterprises reduce alert fatigue, leaving more time for analysts to focus on high-impact threats.
  • Open Ecosystem: Unify all structured and unstructured security data on one open, cloud-agnostic platform that integrates with any tool to identify social engineering, insider threats, and anomaly detection. Databricks’ new Open Security Lakehouse Ecosystem is a fast-growing group of leading security vendors and delivery partners, including Anvilogic, Arctic Wolf, Cribl, Obsidian, Okta, Palo Alto Networks, 1Password, Panther, Proofpoint, Rearc, Slack, TrendAI, Wiz (now part of Google Cloud), and Zscaler.
  • Detection-as-Code: Manage detections as code with automated testing and deployment to ensure defense is always version-controlled and verified.
  • Governance and Compliance at Scale: Enable compliance and consistent policy enforcement with Unity Catalog. Access cost-effective, long-term retention out of the box, helping global enterprises meet rigorous new mandates such as NIS2 and DORA.

Enterprise organizations use Lakewatch to unify their data and detect threats faster with AI. Lakewatch customers include industry leaders like Adobe and Dropbox.

“As the volume of security data grows, organizations need new ways to analyze and act on that information quickly and at scale,” said Karthik Venkatesan, Security Engineering Lead at Adobe. “Databricks provides the foundation needed to move from data-driven to AI-driven approaches for security operations, and Lakewatch is an important step toward bringing security intelligence closer to where data already lives.”

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Deepening Partnership with Anthropic
Building on the success of the two companies’ existing strategic partnership, Databricks and Anthropic are deepening their collaboration to deliver agentic security operations. Anthropic Claude models help power Lakewatch, using Claude’s advanced reasoning capabilities to correlate signals across security, IT, and business data to surface threats faster. Anthropic also uses Databricks for its own security lakehouse to gain complete visibility across its security and business data and detect threats earlier.

Expanding Security Leadership with Antimatter and SiftD.ai Acquisitions
To advance its open, agentic SIEM approach, Databricks is announcing the acquisitions of both Antimatter and SiftD.ai. Antimatter was founded by UC Berkeley security researchers who laid the foundation for provably secure authentication and authorization for AI agents. SiftD.ai, founded by the creator of Splunk’s Search Processing Language (SPL) and lead architects of Splunk’s search stack, will bring deep expertise in large-scale detection engineering and modern threat analytics.

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ON24 Expands Platform Capabilities to Turn a Digital Event into Global Campaigns

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ON24 Expands Platform Capabilities to Turn a Digital Event into Global Campaigns

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Enhanced AI-powered engagement, translation and analytics capabilities from ON24 help organizations transform single events into scalable, multilingual campaigns

ON24, a leading customer engagement platform for B2B sales and marketing, announced expanded platform capabilities designed to help organizations transform single digital events into scalable global campaigns. By combining digital engagement, AI-powered translation, content activation, and advanced analytics, ON24 enables teams to extend the impact of every event, reaching new markets, activating follow-up campaigns, and engaging audiences worldwide.

“Today’s marketing leaders are under pressure to do more with less, transforming stand-alone programs into campaigns that can scale,” said Sharat Sharan, co-Founder, Chairman and CEO of ON24. “By bringing digital engagement, data insights, and AI-generated content together, ON24 transforms singular programs and events into targeted, multilingual campaigns that can be leveraged globally to drive maximum business and pipeline impact.”

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For many organizations, expanding into new regions requires choosing between speed and relevance, often resulting in generic campaigns that lack localization. ON24 changes that dynamic with AI-powered translation capabilities that automatically convert event experiences, content and follow-up assets into multilingual programs. This enables teams to launch global campaigns from a single event while maintaining relevance for audiences in every region.

These highlighted ON24 capabilities include AI Analytics and Content Engine (ACE), LinkedIn integrations, advanced analytics and AI Translate, enabling teams to extend a single event into a full campaign lifecycle, including:

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  • Launch global campaigns from a single event: AI-powered translation and localization transform events, content and follow-up experiences into multilingual programs that reach audiences worldwide.
  • Activate content across channels: AI-powered ACE automatically converts webinars and events into videos, clips and resources that can power paid, owned and earned campaigns.
  • Reach new audiences faster: LinkedIn integrations help expand event visibility and audience acquisition while connecting engagement data back to campaign performance.
  • Turn engagement into insight: Advanced analytics reveal account- and contact-level signals that help teams identify high-intent audiences and optimize campaigns across regions.

Together, these capabilities allow organizations to move beyond one-time events and build scalable global campaigns from a single digital experience, helping customers expand reach, accelerate follow-up and drive measurable business impact across markets.

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Marchex Launches Freshpaint Integration to Advance Healthcare Marketing Optimization

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Marchex Launches Freshpaint Integration to Advance Healthcare Marketing Optimization

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The integration enables healthcare marketers to improve ROAS, optimize campaigns, and enhance automated bidding with compliant, high-fidelity data.

Marchex® , which harnesses the power of AI and conversation intelligence to provide actionable insights derived from prescriptive vertical-market data analytics, announced the launch of a new integration with Freshpaint, a platform built for healthcare marketers to deliver measurable performance while safeguarding patient trust in a complex regulatory environment.

Freshpaint’s data platform enables healthcare organizations to securely connect and activate data across channels, so that they can link marketing spend to outcomes while safeguarding patient privacy and complying with industry regulations.

Empowering Healthcare Marketers with Stronger Outcomes

The Marchex-Freshpaint integration allows healthcare marketers to seamlessly connect rich inbound call and conversation data with downstream marketing platforms, so that they can easily associate digital marketing activity with phone-based patient scheduling, without putting protected health information at risk. By leveraging advanced data capture and attribution, healthcare organizations can drive stronger marketing outcomes while operating compliantly within highly regulated healthcare environments, unlocking new opportunities for campaign optimization, patient segmentation, and patient journey management.

“Integrating Marchex’s industry-specific conversation intelligence with Freshpaint’s leading privacy-by-design infrastructure gives marketers clearer visibility into the patient interactions that shape demand,” said Troy Hartless, President and CRO at Marchex. “Together, we’re enabling organizations to activate conversation data with precision, tie marketing efforts directly to booked appointments, and unlock more efficient growth across the patient journey.”

“Healthcare marketers are under pressure to drive measurable growth on fixed budgets, and they shouldn’t have to choose between performance and compliance,” said Ray Mina, CEO at Freshpaint. “By combining Marchex’s conversation intelligence with Freshpaint’s privacy-first infrastructure, we’re helping teams turn privacy into a strategic advantage — so they can connect data to real appointment outcomes, prove what works, and optimize campaigns with confidence.”

Through Marchex’s AI-powered conversation intelligence solution, integrated with Freshpaint, healthcare marketers gain deeper insights into patient access, appointment scheduling outcomes, and patients’ call-driven care navigation as they manage their care.

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Driving Innovation and Differentiation

Uniting Marchex’s conversation intelligence with Freshpaint’s compliant data infrastructure, healthcare marketers can elevate appointment volumes and patient acquisition through campaign optimization and improved automated bidding that attract more targeted, high-value leads.

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Integration Features and Benefits

  • Advanced Data Capture – Marchex captures and securely transmits call events to Freshpaint, including session data, attribution details, and rich conversation signal data, such as sentiment, patient type, lead outcome, and topics, fueling better patient acquisition outcomes through more precise targeting, attribution, and journey insights.
  • Comprehensive Marketing Capabilities – The integrated solution enables clients to optimize campaigns, segment audiences, track patient journeys, and attribute marketing performance to scheduled appointments or visits, while complying with healthcare privacy regulations.
  • Patient Journey Completeness – The integration supports both session-based and offline calls, giving teams more comprehensive insights into the patient journey and the touchpoints that drive appointments and visits.

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CenterPoint Group Acquires Prokuria to Bring AI-Powered Solutions to Group Purchasing

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CenterPoint Group Acquires Prokuria to Bring AI-Powered Solutions to Group Purchasing

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CenterPoint Group Acquires Prokuria to Bring AI-Powered Solutions to Group Purchasing

CenterPoint Group, a global leader in group purchasing and strategic procurement solutions, announced the acquisition of Prokuria, an innovative artificial intelligence (AI)-driven procurement technology company. This strategic acquisition marks a major step in CenterPoint’s mission to embed AI across its group purchasing programs and deliver the next generation of smart procurement solutions worldwide.

This marks a transformative moment for CenterPoint Group and the clients we serve.”

— Joseph Som

Through the acquisition, CenterPoint Group is integrating Prokuria’s advanced automation and AI capabilities into its established Group Purchasing Organization (GPO) platform, creating a unified, AI-powered procurement ecosystem. The move strengthens CenterPoint’s ability to enhance sourcing intelligence, supplier management, and purchasing performance for clients globally.

“We acquired Prokuria with a clear vision: to bring AI into group purchasing at scale. By embedding intelligent automation across all our programs, we are transforming procurement from a cost-saving function into a strategic, data-driven growth engine. This acquisition allows us to deliver smarter insights, stronger compliance, and greater efficiency to our clients.” said Joseph Som, Chief Executive Officer (CEO) of CenterPoint Group.

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With Prokuria now part of CenterPoint Group, clients will benefit from:

· AI-Enabled Sourcing and Supplier Intelligence: Advanced automation integrated into sourcing events, contract lifecycle management, and supplier performance tracking.

· Unified Global Operations: Seamless alignment of teams and systems across North America and Europe to deliver consistent, high-quality service.

· Enhanced Data and Decision-Making: Real-time analytics and AI-driven insights that enable faster, more strategic procurement decisions.

· Comprehensive Smart Procurement Suite: A fully integrated offering combining group purchasing programs, procurement advisory services, and AI-powered technology within one global platform.

For Prokuria, the acquisition represents a significant milestone, accelerating its expansion into the United States (U.S.) market while scaling its technology on a global platform.

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“This is a pivotal step for Prokuria,” said Daniel Nito, Chief Executive Officer (CEO) of Prokuria. “We are bringing the GPO intelligence directly into Prokuria, while at the same time unlocking the U.S. market at scale. It transforms Prokuria from a strong European procurement solution into a global procurement powerhouse, where technology, data, and sourcing expertise come together.”

With an expanded presence across Europe, the United Kingdom (U.K.), and the U.S., CenterPoint Group is now uniquely positioned to deliver AI-powered group purchasing solutions at global scale. The integration of Prokuria’s technology enhances CenterPoint’s leadership in procurement innovation and reinforces its commitment to continuous digital transformation.

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RAVATAR Brings More Natural Real-Time Voice Interaction to AI Avatars with Gemini Native Audio

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prweb
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RAVATAR Brings More Natural Real-Time Voice Interaction to AI Avatars with Gemini Native Audio

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RAVATAR has integrated Gemini Native Audio into its Genesis AI Avatar Studio, enabling its real-time AI avatars to deliver more natural, expressive, and emotionally aware voice interactions. This update allows enterprises to deploy lifelike digital humans across web, mobile, and holographic environments with improved conversational flow and responsiveness.

RAVATAR announced today a new integration of Gemini Native Audio into its Genesis AI Avatar Studio, enabling more natural, expressive, and real-time voice interaction across its interactive AI avatars. Built on Google Cloud, the integration makes AI avatar conversations more natural and responsive in real time.

As organizations across industries accelerate their adoption of AI-powered engagement, expectations are shifting beyond text-based chat and synthetic voice responses. Customers, patients, students, and citizens increasingly expect AI experiences that feel conversational, emotionally aware, and immediate. By integrating Gemini Native Audio, RAVATAR advances its mission to bridge the human-AI gap through interactions that are more fluid, responsive, and context-aware.

With Gemini Native Audio now embedded into Genesis AI Avatar Studio, RAVATAR’s full-body, real-time avatars can deliver more lifelike spoken interactions across web, mobile, kiosk, and holographic environments. The native audio capabilities allow avatars to handle natural pauses, intonation, and conversational flow more effectively, improving engagement quality while maintaining enterprise-grade performance and reliability on Google Cloud.

“Voice is one of the most powerful elements of human communication,” said Ruslan Synytsky, CEO of RAVATAR. “By integrating Gemini Native Audio into Genesis AI Avatar Studio, we are enabling AI avatars to communicate in a way that feels more natural, responsive, and emotionally aligned with human expectations. This integration strengthens our vision of AI that doesn’t just respond, but connects.”

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Organizations can configure and deploy interactive AI avatars using Genesis AI Avatar Studio’s no-code interface, tailoring language, tone, and behavior to match brand identity, regional needs, and specific use cases. The solution supports cloud, hybrid, and on-premises deployments, helping enterprises meet data protection, compliance, and governance requirements while scaling personalized engagement globally.

The integration of Gemini Native Audio further expands the use cases for RAVATAR’s interactive AI avatars across customer experience, healthcare, education, public services, live events, hospitality, and retail, wherever real-time, human-like interaction can improve understanding, trust, and connection.

The updated Genesis AI Avatar Studio with Gemini Native Audio capabilities is available now. Customers can deploy the solution directly via Google Cloud Marketplace to accelerate their digital transformation with human-centric AI.

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Infobip Bolsters Fraud Protection for Enterprises with T-Mobile Network API Offerings

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GAN Integrity Launches AI Analytics and Dashboards, Giving Compliance and Third-Party Risk Teams Real-Time Intelligence to Prove Program Effectiveness

Infobip’s platform and T-Mobile’s network APIs aim to strengthen security and mitigate fraudulent mobile activity.

Global AI-first cloud communications platform Infobip is extending security measures for enterprise customers as a go-to-market partner. Now, T-Mobile’s network APIs works seamlessly with Infobip’s platform to enhance user verification with the goal of reducing fraudulent activity.

Consumer trust in mobile communications has steeply declined over the years amid rising cybercrime and fraudulent mobile activity, renewing urgency for telecom providers to prioritize advanced security measures at scale. Network APIs make it possible for developers to communicate with various telecom operators to verify device possession and authenticate user identities in-app while delivering the secure and simplified end user experience consumers want.

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Interacting with different telecom networks has long been challenging for enterprises, as each operator historically presented distinct, custom APIs — complicating integration, app development, and scale. CAMARA Open Gateway APIs are changing this by establishing a common standard across MNOs, aggregators, and developers, removing a critical barrier and making telecom capabilities far more accessible. By integrating T-Mobile’s advanced network APIs with Infobip’s omnichannel platform, enterprises can deploy a seamless solution that enhances verification and fraud prevention capabilities for partners and end customers.

“Staying ahead of the increasingly complex and evolving cybercrime landscape has long been a priority as one of the largest telecom providers,” said Dirk Mosa, SVP, Spectrum, Wholesale & Roaming at T-Mobile. “We are committed to empowering businesses with Network APIs that mitigate mobile fraud and keep digital experiences secure, meeting the expectations of digitally savvy consumers.”

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“T-Mobile is strengthening its business offering for partners and end customers by partnering with a GSMA Open Gateway-certified company, Infobip, to offer network APIs through a reliable and safe platform,” said Henry Calvert, Head of Networks at GSMA. “Network APIs can play a crucial role in helping enterprises increase security and reduce fraudulent activity. So, the GSMA is proud to see these leading organizations unify their efforts and capabilities to tackle these challenges together from North America to the rest of the world.”

Infobip boasts a robust partner network with global carriers, working with mobile network operators, MVNOs, and ISPs to deliver unmatched secure conversational experiences for telco companies’ enterprise and SMB customers.

“The influx of fraudulent activity carried over mobile networks is heightening the need for businesses and their networks to fortify their security capabilities, from authentication processes to verifying user accounts,” said Marcelo Frizzo, VP of Strategic Accounts in North America at Infobip. “As more complex fraudulent activity over mobile networks exacerbates growing mistrust from audiences, businesses must be proactive in assuring protection for their customers. This is exactly what we’re doing with T-Mobile and our global carrier partners – helping enterprises keep their customers safe through carrier-grade network capabilities amid rising consumer prioritization of reinforced security in our digital ecosystem.”

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Amaze and LA Times Studios to Launch Food Channel LA, a Next-Generation Creator-led Commerce Platform

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Globe Newswire
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New Platform Marks LA Times Studios’ Move into Social Commerce 

Built Through Amaze’s Operating Studio Model, the Platform Will Combine the LA Times Studios Brand Power with Amaze’s End-to-End Commerce Infrastructure

Amaze Holdings, Inc. (“Amaze”), a global leader in creator-powered commerce, announced a strategic collaboration with LA Times Studios, LLC, a Los Angeles Times Media Group (LATMG) company, to launch Food Channel LA — a creator-led commerce platform designed to bring live shopping, creator programming, and direct-to-consumer product experiences into one scalable ecosystem.

Food Channel LA marks LA Times Studios’ expansion into social commerce, establishing a fully integrated, transaction-enabled platform powered by Amaze’s commerce infrastructure and launched through Amaze’s operating studio model with Contend serving as Amaze’s first operating studio partner.

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The platform brings together:

  • Amaze’s end-to-end commerce engine, logistics, and creator monetization tools
  • LA Times Studios’ brand authority, facilities, and national audience reach
  • Contend’s operating team focused on scalable creator formats and monetization

Food Channel LA will operate as a live, commerce-enabled creator platform. Programming will include:

  • Creator-led cooking shows
  • Live shopping events and product drops
  • Commerce-enabled brand integrations
  • On-site activations and ticketed experiences
  • Recurring formats designed for national syndication and scale

Content will be distributed across Food Channel properties, LA Times Studios’ website and social channels, and participating creator channels — leveraging the collective reach of creators alongside trusted media brands.

Food Channel LA is built on Amaze’s infrastructure, enabling direct product sales, inventory management, fulfillment, and real-time revenue participation for creators and partners. In line with the Company’s shift toward scalable media-commerce monetization, the platform is expected to drive higher margin transaction revenues.

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“Media has experimented with commerce for years,” said Aaron Day, CEO of Amaze. “This is different. With LA Times Studios and Contend as our first operating studio partner, we’re launching a true creator-commerce platform where live programming, product drops, and cultural storytelling translate directly into transactions. LA Times Studios is truly the first major publisher to launch a full-scale social commerce initiative.”

Anna Magzanyan, President of LA Times Studios, added, “This is our step into fully integrated social commerce. We’re combining our trusted brand and production capabilities with Amaze’s commerce engine and a creator-led operating model built for today’s market.”

While launching in Los Angeles, the Food Channel LA framework is built for national scale and designed to expand into additional markets and syndication partnerships.

Food Channel LA is expected to begin onboarding creators and brand partners immediately, with initial live activations and programming rolling out by May 2026.

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Zeta Global Launches Athena by Zeta™ for General Availability, Ushering in the Superintelligent Marketing Era

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Zeta Global Launches Athena by Zeta™ for General Availability, Ushering in the Superintelligent Marketing Era

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Athena turns enterprise data into predictive answers and decisive action to help marketers act faster and prove profitable growth

Zeta Global, the AI Marketing Cloud, announced the general availability of Athena by Zeta™, its superintelligent agent designed for enterprise marketing teams. Athena converts enterprise data into predictive answers, enabling marketing teams to identify opportunities faster, execute with precision, and prove the business impact of every decision. Built for chief marketing officers and marketing leaders, Athena is now available to all Zeta Marketing Platform customers.

The hardest part of marketing is not simply collecting data. It is getting clear answers from that data. CMOs need to know which segments will convert, what return to expect before they spend, and where budget should shift next quarter. Most platforms surface insights and some accelerate analysis. Very few provide the actionable guidance leaders need to drive growth. Athena delivers predictive recommendations tied directly to execution, with built-in financial accountability.

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“AI will transform marketing, but the companies that win will be the ones that go beyond simply having data and turn that intelligence into outcomes,” said David A. Steinberg, Co-Founder, Chairman, and CEO of Zeta Global. “For more than two decades, Zeta has built a proprietary data cloud and identity graph that competitors simply cannot replicate. Athena removes the friction between humans and AI by turning intelligence into clear actions marketers can take instantly. Our clients already see a 6x return on their ad spend, and Athena is designed to push that performance even further.”

Customer Validation and Early Impact

Since Athena’s debut at Zeta Live in October 2025, early users are already seeing results. Segmentation that once required days of analysis can now be completed in minutes. Campaign workflows that previously spanned weeks can now execute in hours. Marketers are also accelerating proof of ROI, shifting from post-campaign reporting to pre-campaign confidence in expected performance and return.

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“After years of working with Zeta, we’ve seen firsthand their commitment to innovation and delivering results that matter,” said Zack Gharib, President of Red Roof, a leader in the lodging industry. “Athena elevates the way we approach performance marketing. Instead of reacting to what already happened, we now have predictive insight that helps us anticipate opportunities. That level of clarity strengthens our strategy and allows us to more effectively identify, engage, and convert prospective guests. It’s a smarter, more efficient path forward — one that supports our growth and creates meaningful value for our franchisees.”

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New Diffblue Testing Agent Automatically Generates Comprehensive Regression Test Suites To Derisk Application Modernization

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Business Wire
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New Diffblue Testing Agent Automatically Generates Comprehensive Regression Test Suites To Derisk Application Modernization

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Published benchmark research from generative AI coding pioneer quantifies compelling advantages of new solution’s end-to-end process automation over stand-alone coding agents

Diffblue announced the general availability of the Diffblue Testing Agent, an autonomous regression test generator that works with an enterprise’s existing AI coding platform — GitHub Copilot, Claude Code, and others — to generate verified unit tests across entire codebases without developer intervention. In benchmark testing across eight real-world Java projects, the Diffblue Testing Agent automatically delivered 81% average line coverage compared to just 32% achieved by a senior developer iterating with an AI coding agent alone – a 2.5x coverage advantage and major developer productivity upgrade.

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Diffblue’s agent was deployed with a single prompt and ran autonomously on each project generating an average of 81% line coverage and 61% mutation coverage – both of which exceed typical enterprise standards.

Enterprise adoption of AI coding tools has accelerated dramatically, but the challenge of automatically generating large volumes of trustworthy code remains a persistent unsolved problem. This pain is particularly acute when attempting to create comprehensive regression unit test coverage – a foundational requirement for any production-ready code and application modernization initiatives. Until today, developers have struggled to coax even modest levels of test coverage from coding agents, often resorting to iterative prompting that delivers rapidly diminishing returns while incurring substantial token costs.

The Diffblue Testing Agent addresses this problem by delivering an orchestration and verification layer on top of the AI coding platforms enterprises have already deployed. Rather than replacing an organization’s existing tools, the Diffblue Testing Agent works alongside them delegating method- and class-level test creation to the underlying AI coding agent while orchestrating a comprehensive process that includes coverage analysis, build system configuration, test plan creation, parallelized test generation, output verification, project clean-up, and pull request preparation. The agent autonomously scopes the codebase, generates tests, verifies that every test compiles and passes, and rolls back any that don’t — across hundreds or thousands of classes in a single run, without developer intervention. The autonomous workflows implemented by the Diffblue Testing Agent are built on decades of software verification expertise and research originating from the University of Oxford.

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The impact of this new approach is compelling. Newly published benchmark research quantifies the advantages delivered by the Diffblue Testing Agent by measuring its performance when used to generate test coverage for 8 real-world code repositories compared to the experience of a developer using just Claude Code to generate test coverage. Diffblue’s agent was deployed with a single prompt and ran autonomously on each project generating an average of 81% line coverage and 61% mutation coverage – both of which exceed typical enterprise standards. In contrast, an experienced, AI-savvy developer was only able to deliver an average of 32% line coverage and 24% mutation coverage after two hours of toil iterating with Claude Code to keep it on task and verify its output – a process that is painful and an outcome that is far short of target.

“The industry has spent two years proving that AI can write code. The question now is whether AI can do actual engineering work — reliably, at scale, without constant human supervision,” said Dr. Peter Schrammel, Diffblue co-founder and CTO. “Our benchmark data shows that the developer effort for driving even the best AI coding agents reaches unaffordable levels quickly. For writing regression tests at scale, diminishing returns make progress beyond 50% coverage difficult, whereas the Diffblue Testing Agent achieves 80%+ autonomously. That gap is the difference between an AI experiment and an AI-enabled engineering workforce. We built the orchestration layer that closes it.”

Diffblue’s Testing Agent is available immediately for enterprise evaluation. The initial release includes autonomous regression unit test generation for Java and Python. The product integrates with GitHub Copilot and Claude Code, with additional AI coding platform support planned based on customer demand. In the coming quarters, the company will extend its Diffblue Agents platform to additional software quality domains, including test quality assessment, code review automation, large-scale refactoring support, and requirements-driven test generation.

Diffblue makes AI coding agents reliable at enterprise scale. The company’s Diffblue Agents platform orchestrates autonomous software quality workflows on top of the AI coding platforms enterprises already use, starting with automated regression test generation for Java and Python codebases. Diffblue enables innovative development teams everywhere to innovate faster, modernize with confidence, and improve software quality. Founded by award-winning researchers from the University of Oxford, Diffblue is backed by leading investors including IP Group, Albion, Parkwalk, and Citi.

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