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

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MTS Staff Writer
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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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MTS Staff Writer
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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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PRNewswire
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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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Business Wire
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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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MTS Staff Writer
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In the Age of AI, the Human Becomes the Strategy — Vera Advances a Human-Centric Approach to Enterprise Performance

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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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CloudWave rebrands to NeonNow as it launches partner-led AI CX platform across 170 markets

RAVATAR logo

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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Business Wire
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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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Business Wire
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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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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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RegEd Expands AI-Powered Advertising Review with the Launch of AI Compliance PreCheck for Broker-Dealers

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RegEd Expands AI-Powered Advertising Review with the Launch of AI Compliance PreCheck for Broker-Dealers

New pre-review capability, RegEd PreCheck powered by Eddie AI, helps broker-dealers identify compliance risk and improve content quality before formal compliance review begins.

RegEd, the leading provider of compliance solutions for financial services firms, announced the launch of AI Compliance PreCheckSM for Broker-Dealers, a new capability within its AI-Powered Advertising Review solution. By embedding AI-driven compliance intelligence earlier in the advertising content lifecycle, AI Compliance PreCheck enables firms to quickly identify potentially problematic language, validate required disclosures, and receive AI-driven revision suggestions before materials are formally submitted for compliance review.

As regulatory expectations continue to evolve and marketing teams move faster across digital channels, broker-dealers face growing pressure to balance speed-to-market with consistent compliance oversight. In this context, the traditional submit-review-revise cycle does not scale. AI Compliance PreCheck introduces a proactive, AI-assisted layer of compliance that helps content creators and compliance teams identify risk earlier, align content with firm policies and FINRA requirements, and submit higher-quality, compliance ready materials.

AI Compliance PreCheck helps broker-dealers significantly reduce rework, accelerate approvals, and improve the overall quality and compliance readiness of marketing content – delivering cleaner submissions, fewer review cycles, and faster time to market without sacrificing compliance rigor.

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AI-Enabled Compliance Across the Advertising Review Lifecycle, Powered by Eddie

AI Compliance PreCheck builds on the AI-driven intelligence Eddie already delivers within RegEd’s Advertising Review solution, including AI-assisted reviews, disclosures management, media transcription, and advanced document comparison. Eddie applies regulatory guidance, firm policy, and workflow automation consistently across the full advertising review lifecycle.

With AI Compliance PreCheck, that intelligence now extends upstream to the point of submission. Content submitters can now receive immediate, actionable AI-driven compliance feedback prior to entering the formal review process, gaining early visibility into potential compliance risk, disclosure gaps, and misalignment with firm policies. By introducing guidance earlier in the process, firms can reduce avoidable review cycles, improve submission quality, and maintain strong governance across the full content lifecycle.

“AI Compliance PreCheck reflects how we’re continuing to embed AI where it creates the most value for our customers,” said Ethan Floyd, Chief Product Officer at RegEd. “By extending compliance guidance upstream to the point of submission, firms can help both compliance and marketing teams move faster without sacrificing compliance rigor.”

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Key capabilities extended to the point of submission:

  • Problematic language detection – Identifies potentially misleading, promissory, exaggerated, or non-compliant statements aligned with FINRA advertising standards.
  • Suggested revisions – Provides AI-generated recommendations to help content authors remediate issues before submission.
  • Disclosure alignment – Flags missing or insufficient disclosures and suitability language based on regulatory expectations and firm-defined requirements.
  • Policy and brand consistency – Supports alignment with firm-approved messaging, disclosures, and internal advertising standards.

Through these capabilities, AI Compliance PreCheck delivers measurable benefits for broker-dealers by:

  • Cutting rework before it starts through earlier identification of compliance risk
  • Improving submission quality with actionable, AI-driven feedback for content creators
  • Accelerating approval timelines by increasing first-pass approval rates
  • Scaling compliance oversight without adding manual effort as content volume grows

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Oracle Expands AI Agent Studio for Fusion Applications with Agentic Applications Builder and New Intelligent Workflow Tools

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Oracle Expands AI Agent Studio for Fusion Applications with Agentic Applications Builder and New Intelligent Workflow Tools

Latest additions to AI Agent Studio for Fusion Applications help organizations scale adoption of outcome-driven AI and measure value

Oracle announced the latest updates to Oracle AI Agent Studio for Fusion Applications, a complete development platform for building, connecting, and running AI automation and agentic applications. The latest updates to Oracle AI Agent Studio include a new agentic applications builder as well as new capabilities that support workflow orchestration, content intelligence, contextual memory, and ROI measurement.

“As organizations move beyond pilots and begin operationalizing AI across the enterprise, they need the ability to tailor AI to their unique workflows, expertise, and operational priorities,” said Chris Leone, executive vice president of Applications Development, Oracle. “With AI Agent Studio for Fusion Applications, we are helping customers and partners build the foundation for a more autonomous enterprise. Builders can create AI automations and agentic applications using natural language that are powered by enterprise AI agents capable of reasoning, taking action across business systems, and continuously executing processes. This enables organizations to move beyond dashboards and copilots to AI-powered applications that actively run the business, with the governance, trust, and security that enterprises require.”

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The latest updates to Oracle AI Agent Studio support the new Fusion Agentic Applications and rapidly growing Fusion Applications AI ecosystem. With Oracle AI Agent Studio, organizations can now build, connect, and run AI automation and agentic applications using reusable Oracle, partner, and external agents without traditional application development. In addition, built-in observability, ROI measurement, security, auditability, and governance ensure agents deliver measurable value and operate responsibly at scale.  The latest updates include:

  • Agentic Applications Builder: Helps organizations build outcome-focused agentic applications from Oracle, partner, and external agents. The AI-powered, natural language-based environment helps users select agents, compose workflows, and connect enterprise data without traditional coding or application development requirements.
  • Workflow orchestration: Helps organizations ensure reliable, enterprise-grade execution at scale across complex business processes. With the new orchestration capabilities, customers can coordinate multi-step, multi-agent execution with rules that control how work moves between steps, built-in logic, and human oversight.
  • Content intelligence: Helps organizations bring together unstructured first- and third-party data with transactional data to expand automation, improve decision-making, and unlock greater value from enterprise information. This helps organizations transform unstructured content into usable, contextual signals that agents can understand and act on.
  • Contextual memory: Helps organizations automate end-to-end processes, not just single tasks, and reduce repetition and friction by enabling agents to remember context across interactions, workflows, agent collaboration as well as learn from user behavior. Only relevant memories are retrieved for a specific task, and agents can share context to improve coordination of tasks and outcomes.
  • LLM multimodal capabilities: Help organizations unlock insights and automate decisions using all forms of enterprise data by enabling agents to process and generate non-text inputs and outputs, including images, audio, and video.
  • Monitoring, observability, and prompt playground: Helps organizations build trust in agent deployments, iterate quickly, adjust prompts, and successfully scale agents in production by enabling real-time visibility, testing, and debugging of agent behavior and performance.
  • Agent ROI dashboard: Helps organizations understand the business impact of AI initiatives by enabling them to measure the outcomes and value delivered by agents. This includes insights on the time saved, cost savings, and productivity gains per agent across workflows, teams, and business functions.

Growing network of Oracle-certified experts helps customers optimize AI

With 63,000-plus certified experts trained in Oracle AI Agent Studio, customers can work with experienced partners to identify high-value use cases, accelerate deployments, and optimize AI performance and governance across the enterprise.

Available at no additional cost, Oracle AI Agent Studio delivers easy-to-use tools, including orchestration, advanced testing, robust validation, and built-in security, to help Oracle Fusion Applications customers and partners create and manage AI agents and agentic applications.

By leveraging the same technology that Oracle uses to create AI agents and agentic applications, Oracle AI Agent Studio enables users to easily extend pre-packaged agents and applications, and/or create new ones, then deploy and manage them across the enterprise. AI agents and agentic applications designed in the Oracle AI Agent Studio seamlessly integrate with Oracle Fusion Applications and can collaborate with third-party agents to complete complex and multi-step processes.

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“Organizations are recognizing that one-size-fits-all AI is not enough, and they need the flexibility to choose the right large language model for each use case while configuring solutions to match unique business requirements,” said Lan Guan, chief AI and Data officer at Accenture. “The latest updates to Oracle AI Agent Studio expand the options available to our clients and help them compose customized agentic applications.”

“Enterprise AI is evolving quickly from task-based assistance to outcome-driven automation, and Deloitte clients want that shift delivered with the controls and accountability their business requires,” said Mauro Schiavon, Deloitte Global Chief Commercial Officer, Oracle Business. “Oracle and Deloitte are working together to help organizations build and run agentic applications at scale – connecting data, workflows, and governance with Oracle AI Agent Studio and new Agentic Applications Builder.”

“To deliver real value, AI should be built into the systems companies already run their business on,” said Rob Fisher, Global Head of Advisory, KPMG International. “By connecting trustworthy AI agents directly into everyday workflows, Oracle is helping organizations put AI to work at scale and drive meaningful change across the business.”

“As customers move from isolated AI use cases to outcomes-focused AI across the enterprise, they need a development platform that can orchestrate workflows, manage context, and measure impact,” said Kevin Sullivan, Oracle Global Alliance Leader, PwC. “We’re excited that the expanded Oracle AI Agent Studio—including the new Agentic Applications Builder—creates a faster path to bring PwC’s Agent Powered Performance engine to life for our customers, so they can quickly activate our existing assets and accelerators, streamline adoption, and measure value across Fusion-powered workflows at scale.”

About Oracle Fusion Cloud Applications
Oracle Fusion Cloud Applications provide an integrated suite of AI-powered cloud applications that enable organizations to execute faster, make smarter decisions, and lower costs. Oracle Fusion Applications include:

  • Oracle Fusion Cloud Enterprise Resource Planning (ERP): Provides a comprehensive suite of AI-powered finance and operations applications that help organizations increase productivity, reduce costs, expand insights, improve decision-making, and enhance controls.
  • Oracle Fusion Cloud Human Capital Management (HCM): Provides a unified AI-powered HR platform that connects all people-related processes and data to help organizations automate tasks throughout the employee lifecycle, improve the employee experience, and give HR leaders actionable workforce insights.
  • Oracle Fusion Cloud Supply Chain & Manufacturing (SCM): Provides a unified AI-powered platform that integrates supply chain and operations processes and helps organizations enhance resilience and quickly adapt to market changes.
  • Oracle Fusion Cloud Customer Experience (CX): Provides a suite of AI-powered applications that helps organizations manage marketing, sales, and service processes to win business, build stronger customer relationships, and improve customer experiences.

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Oracle Unveils AI Database Agentic Innovations for Business Data

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Oracle Unveils AI Database Agentic Innovations for Business Data

New agentic AI capabilities designed for business data accelerate enterprise innovation and help defend enterprises from AI-era threats 

Available on all platforms from multicloud to on-premises

Oracle announced new agentic AI innovations for Oracle AI Database that will help customers rapidly build, deploy, and scale secure agentic AI applications that are suitable for full-scale production workloads. Oracle AI Database architects agentic AI and data together across operational databases and analytic lakehouses. It enables AI agents to securely access real-time enterprise data wherever it resides and easily use business data with LLMs trained on public data to provide business insights. Customers can choose AI models, agentic frameworks, open data formats, and deployment platforms. In addition, customers running on Oracle Exadata further benefit from Exadata Powered AI Search, which enables agentic AI at the highest scale with accelerated AI queries for high-volume, multi-step agentic workloads.

“The next wave of enterprise AI will be defined by customers’ ability to use AI in business-critical production systems to safely deliver breakthrough innovations, insights, and productivity,” said Juan Loaiza, executive vice president, Oracle Database Technologies, Oracle. “With Oracle AI Database, customers don’t just store data, they activate it for AI. By architecting AI and data together, we help customers quickly build and manage agentic AI applications that can securely query and act on real-time enterprise data with stock exchange-level robustness in every leading cloud and on-premises.”

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Innovate faster with AI designed for data
With agentic AI capabilities architected for data, Oracle AI Database helps eliminate the need to build and maintain data-movement pipelines that add complexity and security risk, and may produce worse outcomes. New capabilities include:

  • Oracle Autonomous AI Vector Database provides the simplicity of a vector database with the full power of Oracle AI Database. It enables developers and data scientists to quickly and easily build vector-powered applications using intuitive APIs and an easy-to-use web interface. Built on top of Oracle Autonomous AI Database, it combines an easy-to-use developer experience with enterprise-grade security, reliability, and scalability. Currently in limited availability, Autonomous AI Vector Database is accessible through either the Oracle Cloud free tier, or a developer tier with low-cost pricing. Customers can seamlessly upgrade with one click to the full power of Oracle Autonomous AI Database when their requirements grow, with full support for graph, spatial, JSON, relational, text, and parallel SQL—eliminating the need for separate databases and complex cross-database agentic workflows.
  • Oracle AI Database Private Agent Factory enables business analysts and domain experts to rapidly build and safely deploy data-driven agents and workflows. The AI Database Private Agent Factory provides a no-code AI agent builder that runs as a container in public clouds or on-premises, maintaining data security by enabling customers to build, deploy, and manage AI agents without having to share data with third parties. AI Database Private Agent Factory includes multiple pre-built AI agents specialized for data, including a Database Knowledge Agent, a Structured Data Analysis Agent, and a Deep Data Research Agent. Other approaches rely on external agent orchestration or must make calls to different types of databases. Oracle has simplified agentic AI for business users by architecting it into its AI Database, providing consistency and simplicity—with enterprise-grade security, resiliency and scalability for every agentic workload.
  • Oracle Unified Memory Core lets users store context for AI agents in a single system. It uniquely enables low-latency reasoning across vector, JSON, graph, relational, text, spatial, and columnar data in one converged engine, with consistent transactions and security.

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Minimize AI data risk
Oracle AI Database helps customers safeguard data from external attacks, insider misuse, accidental disclosure, and unintended exposure to LLMs across multicloud, hybrid, and on-premises environments. New capabilities include:

  • Oracle Deep Data Security implements powerful end-user-specific data access rules in the database. Each end-user or AI agent acting on behalf of an end-user can only see the data that the end-user is allowed to see. It can implement sophisticated persona and function-based rules. For example, what parts of a customer account specific sales reps, finance reps, shipping clerks, executives, support reps, and customer relatives are allowed to see. This provides unique end-user data security capabilities to protect against new AI-era threats, such as prompt injection, using declarative, database-native controls that implement least-privilege access. By centralizing and decoupling security from application code, it enables customers to easily determine who can see what data and continuously update access rules as new threats emerge, and it effectively provides guardrails for agents working within Oracle AI Database. Security at the source of the data – the database – offers superior protection when AI agents directly access data on behalf of end-users.
  • Oracle Private AI Services Container enables customers with stringent security requirements to run private instances of AI models while avoiding sharing of data with third-party AI providers, or sending data outside of their firewall. In addition, it helps mitigate performance bottlenecks by allowing customers to securely offload compute-intensive AI tasks, such as vector embedding generation, outside the database, helping keep all data secure within their environment. The container can be deployed in the public cloud, on private clouds, or on-premises, including in air-gapped environments.
  • Oracle Trusted Answer Search provides enterprises with an accurate, testable, and deterministic way to use AI to provide answers to end-users. Instead of directly using an LLM to answer an end-user question, Trusted Answer Search uses AI Vector Search to match the question to a previously created report. This helps mitigate the risk that probabilistic LLMs may occasionally hallucinate or misunderstand a query.

End AI data lock-in with open standards and frameworks
Running in all leading cloud providers, in hybrid deployments, and available on-premises, Oracle AI Database gives customers the flexibility to choose the AI model and application-tier agentic framework that best fits their needs. They can build, deploy, and run agentic AI applications using open standards and data formats. New capabilities include:

  • Oracle Vectors on Ice provides customers with native support for vector data that is stored in Apache Iceberg tables. AI Vector Search can read vector data directly from Iceberg tables, create vector indexes to accelerate vector search, and automatically update these indexes as the underlying vector data changes. Oracle Vectors on Ice allows AI search on data lake data and enables unified search across business data in the database and vectors stored in a data lake. This enables customers to achieve unified intelligence across databases and data lakes.
  • Oracle Autonomous AI Database MCP Server enables external AI agents and MCP clients to securely access Autonomous AI Database and its capabilities without custom integration code or manual security administration. It complements the Oracle SQLcl MCP Server for Oracle AI Database, available via the Oracle SQL Developer VS Code extension.

“In the era of agentic AI, a unified memory core is essential for agents to maintain context across diverse data types, such as vector, JSON, graph, columnar, spatial, text, and relational, without the latency or staleness of external syncing,” said Steven Dickens, CEO and principal analyst, HyperFRAME Research. “Only Oracle AI Database delivers this in a single, mission-critical engine with concurrent transactional and analytical processing, high availability, and ironclad security, enabling real-time reasoning over live business data. Organizations without this foundation will struggle with fragmented, unreliable agents, while those leveraging Oracle gain a decisive edge in scalable AI deployment.”

Customers and developers can leverage the new agentic AI capabilities for Oracle AI Database now, to start developing and deploying game-changing agentic AI applications without moving data, learning new skills, or struggling with database scalability and the lack of agentic AI security guardrails.

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Stop AI from Guessing: Appier Enables Agents to Assess Confidence Before Acting Appier Company Logo

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Stop AI from Guessing: Appier Enables Agents to Assess Confidence Before Acting Appier Company Logo

New Framework Boosts Reliability, Cost Efficiency, and Scalability for Enterprise AI

As an AI-native Agentic AI-as-a-Service (AaaS) company, Appier announced its latest research paper, On Calibration of Large Language Models: From Response to Capability, as part of its ongoing investment in advanced AI innovation. The study introduces Capability Calibration[1]—a new framework designed to address the overconfidence and hallucination challenges of large language models (LLMs) by enabling AI systems to better assess their own ability to solve a given task.

This research equips AI agents with a critical capability: estimating the likelihood of solving a problem before generating an answer. By introducing a quantifiable self-assessment mechanism, AI systems can make more reliable decisions and allocate computational resources more efficiently—improving the reliability, cost efficiency, and scalability of enterprise AI deployments.

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From Response Accuracy to Problem-Solving Capability
Traditional LLM calibration focuses on response-level confidence, estimating whether a single generated answer is correct. However, because LLM outputs are inherently stochastic, the same query may produce different responses across multiple attempts. Therefore, a single response often fails to reflect the model’s true capability.

In practice, organizations are less concerned with whether one answer is correct and more interested in whether a model can consistently solve the task. Appier’s capability calibration framework addresses this by shifting evaluation from single-response confidence to the model’s expected success rate for a given query. This moves the evaluation target from a single answer to the model’s broader problem-solving capability, providing a more practical measure of real-world performance.

Teaching AI Agents to “Know Their Limits”
“AI agents should not only generate answers but also understand the limits of their own capabilities,” said Chih-Han Yu, CEO and Co-Founder of Appier. “With capability calibration, an agent can estimate its probability of success before responding and allocate resources intelligently. Simple queries can be handled quickly, while complex tasks can automatically leverage stronger models or additional compute. This transforms AI from a passive tool into a system that actively manages resources, optimizes costs, and improves decision quality—an essential foundation for scaling enterprise-grade AI agents.”

Experimental Results: High-Quality Calibration at Low Cost
The research clarifies the theoretical relationship between capability calibration and traditional response calibration[2], and evaluates multiple confidence estimation approaches across three large language models and seven datasets covering knowledge-intensive and reasoning-intensive tasks. Methods tested include:

  • Verbalized confidence[3]: The model explicitly states its confidence, in text or as a percentage.
  • P(True)[4]: Estimates the probability that the answer is correct based on generation signals.
  • Linear probes[5]: Use internal model signals to assess whether it truly understands.

Results show that the linear probe method provides the best balance between cost and performance, with computational cost even lower than generating a single token while maintaining reliable confidence estimation.

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Two Key Applications: Improving Inference Efficiency and Resource Allocation
The framework enables two practical use cases. First, pass@k[6] prediction, a widely used metric for evaluating LLMs in complex tasks. Capability-calibrated confidence estimates the probability that a model will produce at least one correct answer after k attempts, without actually generating multiple responses. Second, inference resource allocation, where computational resources are dynamically distributed based on predicted task difficulty. Harder problems receive more attempts, allowing more tasks to be solved within the same compute budget.

Building a Decision Foundation for Trustworthy AI Agents
Capability calibration enables AI agents to establish a stable and quantifiable confidence signal before taking action. This allows agents to determine whether they can solve a task independently, when to call external tools, and when to seek human assistance—helping AI systems operate more reliably in uncertain environments.

Advancing Capability Calibration to Power Agentic AI Applications
Looking ahead, Appier’s AI research team will continue advancing capability calibration by improving model evaluation methods and expanding the framework to applications such as model routing, human–AI collaboration, and trustworthy AI systems. Leveraging Appier’s deep expertise in AI and marketing technology, these research advances will be translated into product capabilities, accelerating the deployment of Agentic AI in advertising and marketing decision-making and helping enterprises operate more efficiently in an increasingly complex digital landscape.

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Adam Cunningham Named Global CEO of Allied Global Marketing

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Adam Cunningham Named Global CEO of Allied Global Marketing

Kelly Estrella Promoted to Chief Operating Officer as Clint Kendall Transitions to Allied’s Board of Directors

Allied Global Marketing (Allied) announced that Adam Cunningham, previously Chief Strategy Officer, has been appointed Global Chief Executive Officer. Kelly Estrella, previously Chief of Marketing Operations, has been promoted to Chief Operating Officer. The appointments position Allied for its next phase of growth as an integrated marketing partner to brands across entertainment, gaming, sports, hospitality, tourism and location-based experiences, combining deep category expertise with proprietary tools, data and applied AI. Cunningham succeeds Clint Kendall, who will become a member of Allied’s Board of Directors.

“Adam has helped shape Allied’s strategy at a pivotal moment for our industry,” said Kendall. “As marketing becomes more integrated, more data-led and more operationally complex, he brings the strategic clarity, commercial focus and modern operating discipline needed to lead Allied forward.”

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As CEO, Cunningham will oversee Allied’s global business and lead the agency’s focus on integrated growth, operational discipline and the continued development of proprietary tools, data and applied AI that help teams work with greater speed, precision and insight. He will work across strategy, creative, paid, earned, owned and analytics to strengthen cross-market collaboration, deepen client partnerships and advance workflow capabilities that improve delivery while keeping human judgement at the centre.

“Clients need partners who can connect creative ambition with operational rigour, audience insight and faster, more measurable execution,” said Cunningham. “Allied is uniquely built for that moment. We have deep category expertise, a strong global team and the opportunity to turn our integrated model, proprietary tools, data and applied AI into an even stronger advantage for the brands and experiences we help grow.”

As Chief Operating Officer, Estrella will lead global operations, with responsibility for aligning teams, strengthening delivery discipline and scaling Allied’s capabilities across markets and clients to support the agency’s continued growth.

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“Kelly is one of the most trusted and effective leaders in our business,” Cunningham added. “She brings the operational discipline, cross-market credibility and clarity of execution this next chapter requires. Her leadership will be critical as we scale the business with greater consistency, speed and accountability.”

Kendall joined Allied Global Marketing in 2001 and has served as CEO since 2009, leading the company through more than two decades of growth and evolution. In his new role on Allied’s Board, he will support continuity during the leadership transition and work closely with Allied’s ownership group, Belmont Capital.

Together, these appointments strengthen Allied’s leadership and position the agency to expand its integrated offer, deepen strategic partnerships and deliver more measurable growth for clients in the moments that shape culture.

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Proven ROI Launches Proven Cite to Help Businesses Win in the Era of AI Search

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Proven ROI Launches Proven Cite to Help Businesses Win in the Era of AI Search

Proven Cite, AI Visibility Platform

Proven ROI launches Proven Cite to help businesses get cited in AI search results.

Proven Cite, a groundbreaking platform from Proven ROI, has officially launched, introducing a new category of software designed to help businesses understand, measure, and improve how artificial intelligence systems evaluate and cite their content.

Search has changed. If AI does not cite your content, you do not exist in the answer economy. Proven Cite shows you exactly how to fix that.”

— John Cronin, Founder of Proven ROI

As search behavior rapidly shifts from traditional keyword queries to conversational AI interactions, businesses face a new challenge: visibility is no longer determined solely by rankings, but by whether AI systems choose to reference and cite their content.

Proven Cite is built to solve exactly that.

A New Era of Search Requires a New Kind of Tool

Search is undergoing a fundamental transformation. Instead of presenting users with a list of links, platforms like ChatGPT, Gemini, and Perplexity now generate direct answers often citing only a handful of sources.

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This shift has created a visibility gap.

Traditional SEO tools measure rankings, backlinks, and traffic. But they were not designed to analyze how large language models interpret, trust, and extract information from content.

Proven Cite fills that gap.

The platform evaluates websites across 13 AI-readability and citation factors, helping businesses understand why competitors are being cited, and what changes are needed to earn those citations themselves.

From Rankings to Citations: The Next Evolution of Visibility

According to Proven ROI, the future of digital visibility is no longer about being found, it is about being selected.

“Businesses are realizing that ranking on page one is no longer enough,” said a spokesperson for Proven ROI. “If your content is not structured in a way that AI can understand, trust, and extract, you will not be included in the answers users actually see.”

This aligns with a broader industry shift toward what Proven ROI calls Generative Engine Optimization (GEO), the practice of optimizing content for AI driven discovery, not just traditional search engines.

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Proven ROI has been at the forefront of this movement, helping companies build AI ready websites designed to surface in answers, not just search results.

How Proven Cite Works

Proven Cite provides businesses with a clear, actionable framework for improving AI visibility.

Key capabilities include:

AI Readability Scoring
Analyze how effectively AI systems can process and interpret your content.

Citation Gap Analysis
Identify why competitors are being cited instead of your brand.

LLM Evaluation Factors
Score content against the core elements that influence AI trust and extraction.

Optimization Recommendations
Get step-by-step guidance to improve citation likelihood across AI platforms.

The platform is designed to be both technical and accessible, giving marketing teams, founders, and agencies a transparent view into how AI systems “see” their websites.

Built for the Future of Digital Marketing

Proven ROI, headquartered in Austin, Texas, has built its reputation on helping businesses connect marketing directly to revenue through data driven strategies and integrated systems.

With Proven Cite, the company is extending that mission into the rapidly evolving world of AI search.

The launch reflects a larger shift in how digital success is measured:

From traffic → to visibility in answers
From rankings → to citations
From keywords → to structured, trustworthy content

“Most companies are still optimizing for how search worked yesterday,” the company noted. “Proven Cite is built for how discovery works today, and where it is going next.”

Why This Matters Now

The rise of AI generated answers is accelerating across every major platform.

As users increasingly rely on AI to make decisions, the brands that are cited gain disproportionate trust, authority, and influence, often before a user ever visits a website.

This creates both a risk and an opportunity:

Brands that fail to adapt may become invisible
Brands that optimize early can dominate emerging channels

Proven Cite positions itself as the intelligence layer that helps businesses navigate this transition with clarity and confidence.

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

Palo Alto Networks Unveils the Industry’s Most Secure Browser Built for Agentic AI

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PRNewswire
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Palo Alto Networks Unveils the Industry's Most Secure Browser Built for Agentic AI

Prisma SASE enhancements secure AI-driven work across the entire modern enterprise 

Palo Alto Networks, the global cybersecurity leader, unveiled a major evolution of Prisma Browser, introducing the industry’s most secure browser built for the Agentic AI era. As employees shift from merely using AI as a tool to now utilizing autonomous agents that act on their behalf, Prisma Browser converts the web into a secure AI-driven workspace. Users can now unlock new levels of productivity with Agentic AI, without compromising security.

Today, the browser is the primary engine of modern work and where users spend 85% of their workday. However, the browser’s role is rapidly expanding beyond a simple window to the web and is now the central hub for agentic AI interactions. While this shift unlocks unprecedented efficiency, a new class of sophisticated risks unique to autonomous AI has emerged, such as shadow AI agents, prompt injection attacks and agent hijacking. Prisma Browser paves the way for this new era of work by providing agentic capabilities in combination with a secure foundation to protect these autonomous workflows.

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Anand Oswal, Executive Vice President of AI & Network Security, Palo Alto Networks
“Organizations are unleashing a new workforce of agents, however, you cannot give autonomy without security. By embedding AI-powered data protection and securing AI interactions directly in the browser, leaders can now confidently greenlight strategic AI initiatives that were previously stalled. Prisma Browser isn’t just securing an interface, it’s securing a new way of work.”

Prisma Browser introduces key innovations that bring secure agentic AI to end users by:

  • Powering the Agentic Workspace: Enables organizations to leverage the LLM of their choice across all models and platforms. Prisma Browser allows teams to utilize the most effective AI tools for any specific task, maximizing productivity and accelerating autonomous workflows.
  • Securing AI Interactions: Automatically discovers user AI activity and enforces content-aware boundaries to keep agents within their intended scope. Prisma Browser prevents sensitive data from leaking to unmanaged or public AI tools during automated tasks.
  • Preventing Agent Hijacking: Identifies and blocks prompt injection attacks—including malicious instructions hidden within websites designed to hijack AI agents—keeping automated workflows on track and preventing agents from being manipulated into unauthorized actions.
  • Enabling Global Compliance: Provides real-time distinction between human actions and automated AI tasks. By assessing the intentions of both human and non-human identities, Prisma Browser enables total accountability and compliance with evolving global AI regulations.

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Jonathan Jaffe, Chief Information Security Officer, Lemonade
“The browser has evolved to deal with a whole new landscape of threats with AI threats, like prompt injection or the use of AI extensions that are unsafe. The browser will continue to be the single control point as agents end up doing things on behalf of the user, but through the browser. So I see the browser as being the dominant control point for protecting employees against bad actions. As we allow people to experiment with agents that use the browser to run tasks, we feel more comfortable doing that with Prisma Browser.”

The Industry’s Most Comprehensive SASE Solution for the Agentic AI Era
AI-driven productivity starts in the browser but must be secured across the entire enterprise. Prisma Browser’s evolution is just one of the critical innovations made to Prisma SASE, the most comprehensive SASE solution built for the agentic AI era. Powered by Precision AI, Prisma SASE delivers Universal Zero Trust, providing consistent protection and unmatched performance wherever work happens. By converging secure agentic browsing, autonomous operations, and AI-powered data protection into a unified solution built on a resilient architecture, Prisma SASE transforms AI-driven workflows into a secure growth engine that operates at machine speed.

Prisma SASE extends best-in-class capabilities by:

  • Enabling Autonomous Operations: Empowers IT to accelerate productivity by eliminating the manual troubleshooting and “ticket fatigue” that stall operations, allowing teams to focus on strategic AI growth.
  • Securing Data End-to-End: Discovers and protects sensitive data throughout the entire AI lifecycle—within AI tools and agents and across the entire organization—to prevent leakage into shadow AI environments and protect information across endpoints, network, and SaaS.
  • Providing Business Continuity: Delivers cloud-scale security and operational resilience to high-bandwidth campuses, helping ensure seamless performance and uninterrupted operations for critical resources.

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

AiPPT.com Enhances Its AI Image Generator with Nano Banana 2 to Support Smarter Slide

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PRNewswire
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AiPPT.com Enhances Its AI Image Generator with Nano Banana 2 to Support Smarter Slide

AiPPT.com announced an update to its built-in AI image generator with the addition of the advanced model Nano Banana 2. The update gives users more ways to create visuals that fit their slides while keeping the design process inside the presentation editor.

AiPPT.com works as a modern AI presentation maker that combines writing, layout creation, and media generation in one workspace. The new model strengthens that experience by helping users generate images that match slide themes without leaving the editor.

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Expanding Image Generation Options

This presentation creation tool already supports several AI image systems. Users can still access earlier models from the Nano Banana family, including Nano Banana and Nano Banana Pro. AiPPT.com also connects to other popular models such as Flux models, Imagen models, and Seedream 4.0.

Nano Banana 2 expands this collection and improves prompt understanding. The model produces visuals that suit many presentation scenarios. Teachers may create diagrams. Marketers may produce concept illustrations. Creative scenes can also be generated through short written prompts.

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

A Broader AI Presentation Environment

Nano Banana 2 joins a larger ecosystem inside AiPPT.com. Users can generate a presentation from prompts, documents, and images. A unique feature even lets them download PPT from links: simply enter a webpage URL to generate a clear, editable outline, turn it into a complete slide deck, and save it.

Users also gain access to a large design library. The free PPT template library features over 200,000 slide templates with diverse themes, supporting business reports, academic presentations, marketing materials, and training slides.

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

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