Search
Home Blog Page 5

Elastic Named a Strong Performer in Extended Detection And Response Platforms, Q2 2026

By
Business Wire
-
0
AI Website Integration Expands Functionality for Established Business Websites

Elastic N.V. Logo

Report recognizes Elastic’s strong SIEM-replacement features, open data architecture, AI innovation, and endpoint protection

Elastic, the Search AI Company, announced that it has been named a Strong Performer in The Forrester Wave™: Extended Detection And Response Platforms, Q2 2026. The report recognized Elastic Security’s SIEM-replacement capabilities, open data architecture, AI innovation, and endpoint protection. Access the complimentary report here.

Elastic Security is an agentic security operations platform that unifies SIEM, XDR, and native automation. Elastic’s native endpoint protection offers tangible efficacy against real-world attack scenarios. Elastic Security is the only vendor to achieve 14 consecutive months of 100% rates in AV-Comparatives’ Malware and Real-World Protection Tests. The Forrester Wave assessment notes that Elastic’s strategy envisions an open, agentic SOC that will automate operations.

Marketing Technology News: MarTech Interview with Theresa Pham, Head of Product @ Wayvia

Elastic’s vendor profile in the report states the following:

  • Elastic’s SIEM-replacement features are strong, as it ingests a wide range of telemetry at scale, including from its endpoint agent, enabling security teams to correlate across cloud, endpoint, identity, application, and network data without siloed tools. Its open data formats and core engines, strong training content, and flexible data management make it heavily customizable.
  • Flexibility is a differentiator: Elastic is a good fit for organizations looking for– and that have the resources to support– a tool built for maximum flexibility across data ingestion, analytics, and AI. Security teams can ingest telemetry from virtually any source, tailor detections to their unique environment and risk profile, and build workflows aligned with existing processes rather than adapting to rigid platform constraints. Detection engineers can move faster, reduce vendor lock-in, and create security operations experiences that fit their organization.
  • Open, agentic SOC automates operations: Elastic demonstrates a strong commitment to innovation, with a focus on AI features, such as Attack Discovery and Automatic Migration. Attack Discovery correlates related alerts into higher-confidence attack narratives so analysts focus on real incidents rather than undifferentiated alert queues, while Automatic Migration moves dashboards and detection rules from legacy SIEMs into Elastic without rewriting rules.

Marketing Technology News: Idle data is as good as no data

“We believe every security team deserves access to proven endpoint capability, regardless of budget or team size,” said Mike Nichols, general manager, Security, Elastic. “This Forrester recognition validates what our customers already know: the endpoint detection included in our agentic security platform works. No separate license. No add-on. Enterprise-grade protection, accessible to everyone.”

Elastic Security runs on the same Elasticsearch platform as observability and search workloads, so security teams can correlate across operational and security telemetry without moving data across tools. The Elastic Security MCP App enables alert triaging, threat hunting, and case management directly within the tools analysts already use, including Claude Desktop, Claude.ai, VS Code Copilot, and Cursor.

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

Netomi Brings Agentic AI to Azure and Dynamics 365

By
Business Wire
-
0
Netomi Brings Agentic AI to Azure and Dynamics 365

Netomi

Enterprise Agentic AI built for scene-based reasoning, governed execution, and operational autonomy at scale.

Netomi announced expanded availability of its governed Agentic AI platform, built on Microsoft Azure Kubernetes Service, providing a deeper integration with Microsoft Dynamics 365, and available through the Microsoft Marketplace.

This architecture allows enterprises to run customer operations proactively, where AI continuously evaluates system conditions and intervenes before issues materialize.

As AI becomes the operational layer of customer experience, enterprises face a new challenge: ensuring autonomous systems act with context, discipline, and policy alignment rather than simply executing tasks faster. Netomi’s Agentic AI for CX operates in production across Fortune 500 enterprises in travel, hospitality, insurance, banking, retail, media, and telecommunications. Its architecture allows AI agents to reason over dynamic customer scenes rather than follow predefined scripts, evaluating policies, enterprise systems, and real-time context before taking action.

Marketing Technology News: MarTech Interview with Theresa Pham, Head of Product @ Wayvia

For Microsoft customers, Netomi operates as an Azure-native agentic runtime, allowing agentic AI to execute decisions directly within existing enterprise systems while maintaining hardened policy enforcement and operational control. Customer experience unfolds through changing operational scenes where policies, systems, and real-world conditions interact simultaneously. Netomi enables AI agents to understand each scene before acting.

Deploying Agentic AI at Microsoft Azure scale

Netomi on Azure provides a governed agentic runtime designed for high-stakes enterprise operations. By operating inside the enterprise security perimeter, Netomi allows organizations to introduce autonomous reasoning into customer operations while maintaining the sovereignty, data residency, and reliability required in highly regulated environments.

This architecture allows enterprises to run customer operations proactively, where AI continuously evaluates system conditions and intervenes before issues materialize.

Together, these capabilities allow enterprises to operate autonomous systems with full visibility, control, and policy enforcement at runtime.

Marketing Technology News: Idle data is as good as no data

  • Situational awareness at runtime – AI agents reason across enterprise systems, policies, customer signals, and operational context before executing actions, allowing organizations to anticipate intent and deliver autonomous resolution.
  • Embedded runtime governance – Every tool call, policy evaluation, and system action is validated at the moment of decision. Governance is enforced to prevent non-compliant actions, ensuring autonomous operations remain aligned with enterprise policies and regulatory constraints without the “black box” risk of unmonitored LLM execution.
  • Continuous telemetry and observability – Enterprises gain full visibility into how models interpret context, coordinate actions across systems, and apply policy logic, making autonomous operations inspectable, measurable, and continuously improvable.
  • Parallel orchestration of complex workflows – Multi-system operations execute concurrently rather than sequentially, allowing enterprises to coordinate high-complexity customer scenarios across multiple systems without introducing latency or operational risk.
  • Regional deployment and compliance alignment – Integration with Azure identity, security, and regional compliance frameworks ensures autonomous systems operate strictly within the client’s existing cloud standards.

Bringing Scene-Based Autonomy into Dynamics 365

Netomi integrates with Dynamics 365 to embed scene-aware reasoning across end-to-end customer journeys, spanning service, marketing engagement, and commerce transactions. By leveraging rich customer, operational, and transactional data within Dynamics 365, Netomi enables enterprises to make real-time, policy-aligned decisions within each interaction. In service, this means resolving complex issues proactively before escalation. In marketing, it enables timely, context-aware offers based on live customer state. In commerce, it supports dynamic actions such as upgrades, rebooking, or concessions based on inventory, pricing, and customer value. By building on Dynamics 365’s secure, enterprise-grade data foundation, Netomi enables organizations to deliver more precise, consistent, and controlled customer experiences across every touchpoint. Key capabilities include:

  • Scene-Based Customer Interactions – AI agents reason over live Dynamics 365 data and enterprise rules, allowing strategies to adapt dynamically as customer situations evolve.
  • Pre-emptive Agent Assist inside Dynamics 365 – Human agents receive anticipatory guidance rather than scripted suggestions. Netomi identifies emerging issues, surfaces next-best actions, and recommends policy-aligned interventions before escalation occurs.
  • Continuous Knowledge Alignment via SharePoint – Policy and knowledge updates flow directly into agent reasoning models, ensuring decisions remain aligned with current enterprise standards. Telemetry provides CX, compliance, and operations leaders visibility into how AI interprets policy and protects the brand in real time.

Together, these capabilities allow enterprises to deploy AI that understands the operational scene within which it is acting, surfaces its reasoning through telemetry, and adjusts decisions before minor issues escalate into customer harm.

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

Acxiom Real ID Powers Identity for Databricks CustomerLake and AI-Ready Marketing

By
Business Wire
-
0
Acxiom Real ID Powers Identity for Databricks CustomerLake and AI-Ready Marketing

Acxiom Logo

New native application and integration with Databricks enable identity resolution and enrichment without data movement for clients

Acxiom®, the connected data and technology foundation for the world’s leading brands, announced that Acxiom Real ID is now a native Built-On application in Databricks, the Data and AI company, and is available in the Databricks Marketplace. This integration transforms how enterprise marketers leverage their customer data, providing a foundational infrastructure for enterprise AI, powering omnichannel personalization, and maximizing value across unified martech and adtech ecosystems.

Powered by Acxiom’s global identity graph of more than 260 million addressable individuals in the U.S., the solution enables brands to unify, enrich, and activate customer data without the complexities and risks of moving or duplicating directly identifiable personal information (PII).

Marketing Technology News: MarTech Interview with Theresa Pham, Head of Product @ Wayvia

With Acxiom Real ID as the resolved identity foundation for every analytics, audience, and activation workflow in Databricks, marketers can achieve a single, unified, and actionable view of customers to deliver better customer experiences while maintaining full control over data, access, and compliance.

Acxiom is also a launch partner for Databricks CustomerLake, the new Agentic CDP built natively on Databricks. Together, Acxiom Real ID and CustomerLake help enterprises build trusted Customer 360 profiles, resolve identity, enrich customer data, and activate audiences from the same governed environment where their customer data already lives.

Marketing Technology News: Idle data is as good as no data

With Acxiom’s Real ID available natively on Databricks, enterprise marketers can:

  • Acquire ideal customers with unmatched precision: Connect known and unknown signals for a clear view of high-quality audience segments, driving better leads and smarter, more efficient acquisition efforts.
  • Maximize customer lifetime value: Enrich first-party data with insights into preferences, behaviors, and household dynamics to deliver experiences that resonate, keeping customers engaged, preventing churn, and growing lifetime value.
  • Build an agentic marketing operation: CustomerLake, now integrated with Acxiom’s industry leading identity and customer data, enables marketers to design and integrate agentic workflows into their marketing operations and activation platforms.
  • Confidently measure and optimize every marketing dollar: Understand the true impact of marketing investments and precisely which campaigns are driving real business growth to optimize spend, collaborate more effectively with partners, and prove ROI with confidence.
  • Launch impactful campaigns with speed and confidence: Move from insight to activation faster with robust identity resolution, data governance, and privacy controls seamlessly integrated.

“Acxiom Real ID on Databricks powers the connected customer intelligence and data foundation that enterprises need to operationalize AI within and across their marketing systems,” said Keith Camoosa, Chief Product & Technology Innovation Officer at Acxiom. “To drive growth, modern marketers must navigate increasing data fragmentation and reduce unnecessary complexity across the martech and adtech ecosystems. By bringing Acxiom Real ID natively into Databricks, clients can unify customer intelligence, accelerate AI-driven insights, and activate more effectively across channels while maintaining governance, transparency, and control over their data assets and marketing investments.”

“Acxiom’s deep expertise in identity and data enrichment is a powerful addition to the Databricks platform,” said Tasso Argyros, VP, Engineering at Databricks. “This partnership empowers our joint customers to transform their data into a unified, intelligent asset. With Acxiom Real ID, brands can accelerate their journey to AI-driven marketing, ensuring their personalization efforts are both impactful and privacy-compliant, all within a single, governed environment.”

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

eTrigue Insights Launches With 1:1 Context-Relevant Messaging Enabling Higher Conversion Rates for Partner Marketing

By
Business Wire
-
0
Revefi Extends Its AI DBA to Autonomously Optimize Databricks Ecosystem

eTrigue

Company leapfrogs traditional personalization techniques by delivering contextually relevant 1:1 messages across hundreds of partners and thousands of prospects simultaneously. eTrigue Insights enables automated co-branded content delivery for digital marketing campaigns, generating higher conversion rates.

eTrigue, the company behind the popular digital partner marketing platform of the same name, announced the launch of its new platform, eTrigue Insights.

“Meeting customers where they are on their buying journey with relevance is key.” – William Herr, Sr. Global Partner Marketing Manager at AWS.

The powerful eTrigue Insights Platform and Services offering is designed to enable enterprise companies and their channel partners to execute contextually relevant 1:1 content to prospects at scale. With seamless pass-through at the partner level, eTrigue Insights Messaging solves the co-branding and prospect engagement challenges that resource-constrained partners face, delivering the right message to each individual at precisely the right time. The program scales to tens of thousands of recipients across hundreds of partner campaigns simultaneously without performance degradation. The result heightens prospect engagement levels, leading to swifter connections with customers and enhanced pipeline activity.

eTrigue Insights Messaging leverages the intelligence of eTrigue Lead & Company Insights to identify and summarize a prospect’s background, experience level, industry, social media, news, and company websites, creating highly customized, context-specific content for each recipient. In line with all eTrigue Insights Lead Accelerator Partner Marketing Programs, partner branding and co-content are configured automatically to ensure each partner’s message reaches the contact on time and on message. The eTrigue Insights Lead Accelerator Partner Marketing Program, with Lead & Company Insights, Insights Messaging, and Sales Team Insights leverages both Amazon Nova Pro2 and Anthropic Claude Sonnet in parallel.

Marketing Technology News: MarTech Interview with Theresa Pham, Head of Product @ Wayvia

“Meeting customers where they are on their buying journey with relevance is key. This means contextual personalization beyond simply inserting a name or data field, rather creating a branded partner message informed by the recipient’s job, skill set, interests, focus area, and more,” says William Herr, Sr. Global Partner Marketing Manager for Amazon Web Services (AWS). “The more relevant and personalized your message, the more likely it is to help a customer find the right solution for their needs at precisely the right time.”

Partner marketing disconnects at the junction of two distinct categories: campaign strategy/execution and sales execution. While sponsors create content and marketing campaigns, partners traditionally lack the resources to launch campaigns efficiently, struggle to create tailored messaging, and follow up effectively. The results are a resource allocation that ends in poor accountability and missed opportunities for everyone involved.

Marketing Technology News: Idle data is as good as no data

“Despite significant channel opportunities, execution remains a persistent barrier. Research shows that 36% of channel marketers cite inadequate partner enablement and co-selling training as their top challenge, while 34% struggle to access partner-side counterparts to co-execute campaigns,” says Jay McBain, Chief Analyst, Omida (formerly with Canalys). “The result is a gap between what partner ecosystems could generate and what they deliver. When vendors leave partners to market on their own, campaigns often stall, leads go untouched, and revenue is uncaptured. Frustrating both the vendor and the partner.”

“Companies can now close the gap between campaign strategy and execution efficiently and with accurate measurability to activate pipelines for the greatest chance of success,” Jeff Holmes, CEO at eTrigue. “By leveraging eTrigue Insights Messaging, Lead & Company Insights and Sales Team Insights enterprise vendors can be in control of every step of the through-channel marketing and sales process. From launching campaigns to engaging with marketing qualified leads with more relevance, empowering sales teams for more effective follow up to tracking opportunities and sales team responsiveness, eTrigue Insights brings accountability to partner marketing. With seamless execution, eTrigue Insights Messaging enables a swifter time-to-engagement delivering higher quality leads thus increasing sales pipeline activity at a faster pace.”

eTrigue Insights platform and Lead Accelerator services offering are trusted by companies including AWS, Red Hat, NVIDIA, SAP, Shopify, Palo Alto Networks, and Watchguard, among others. Lead & Company Insights and Insights Messaging are available now with the eTrigue Insights platform and services offering. eTrigue Insights is based on the success of the eTrigue DemandCenter platform, widely used to create and run co-marketing campaigns for partners, simply, quickly, and at scale. The company’s white-label, turnkey service provides content, campaign buildout, eTrigue Insights platform, and all program management, ensuring partners can focus on lead follow-up and sales.

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

Ataccama joins Databricks Marketplace to extend data trust from source systems to AI

By
GlobalWebIndex
-
0
Ataccama joins Databricks Marketplace to extend data trust from source systems to AI

Ataccama brings AI to data lineage to help business users

Ataccama’s MCP Server, available now in the Databricks Marketplace, extends trusted data context from source systems through the Databricks platform to AI models and agents

Ataccama, the data trust company, announced a native integration with Databricks, the Data and AI company, to bring data quality, lineage, and governance signals from enterprise source systems, including SAP, Oracle, and mainframe environments, into the Databricks platform, helping customers build AI applications and agents on trusted data. Available now in the Databricks Marketplace, the integration connects Ataccama’s governed quality signals and metadata context directly to Databricks pipelines, workflows, and AI tools through the Ataccama MCP Trust Layer.

Enterprise AI has exposed a critical requirement for trusted data. As organizations consolidate data and AI workloads on platforms like Databricks, they need confidence not only in where data resides, but also in its quality, governance, and lineage. Without that context, AI outputs become difficult to explain and even harder to trust. A risk committee may reject a recommendation, a regulator may ask for documentation that cannot be produced, or a business leader may find themselves acting on results no one can confidently validate.

Marketing Technology News: MarTech Interview with Lee McCance, Chief Product Officer @ Adverity

The MCP integration is now available on the Databricks Marketplace. Databricks Marketplace is an open marketplace for data, analytics and AI, powered by OpenSharing. Together, Ataccama and Databricks address the full infrastructure that production AI requires. Ataccama operates as the trust layer, validating that data is accurate, complete, and certified before it reaches Databricks, so the business definitions, metrics, and relationships that Unity Catalog Semantics governs are built on data that can actually be relied on. A semantic layer defines meaning precisely, but it cannot guarantee that the underlying data reflects reality. Ataccama closes that gap, so every agent, model, and analyst working inside Databricks reasons from definitions that are both well-governed and verifiably correct, from the source systems that supply the data through to the AI outputs that depend on it.

“The next phase of enterprise AI will be defined by trust,” said Jay Limburn, Chief Product Officer at Ataccama. “The organizations that succeed with AI will be the ones that can understand, govern, and stand behind the data informing every decision. By bringing trusted data context directly into Databricks via Databricks Marketplace, we’re helping customers build the confidence needed to scale AI from promising pilots to business-critical outcomes.”

“Customers consistently ask us for easier, more secure ways to discover, access, and share data and AI assets across their organizations and ecosystems,” said Stephen Orban, SVP, Product Ecosystem & Partnerships at Databricks. “By bringing Ataccama ONE to the Databricks Marketplace, we’re helping our joint customers accelerate innovation and unlock more value from their data on an open, governed platform.”

Marketing Technology News: What is a Full Stack Marketer; What MarTech Matters Most to Full Stack Marketers?

Key capabilities include:

  • Data trust signals are accessible to AI agents. Ataccama’s MCP Trust Layer exposes a combined semantic and quality layer to AI agents operating in Databricks, surfacing business glossary terms, catalog metadata, and quality scores so agents understand what a data asset means and where it came from, alongside live quality scores, monitoring results, and anomaly signals so they can assess whether it can be trusted before they act on it.
  • Quality checks that run natively on Databricks compute. Ataccama translates enterprise data quality rules into SQL and executes them through Spark pushdown directly on Databricks clusters, without moving data into a separate processing environment. This enables non-technical users to create data quality rules and validate billions of records at the scale required for enterprise AI and analytics workloads.
  • Pipeline gates that stop bad data before it reaches AI. Ataccama’s Data Quality Gates integrate directly with Databricks Lakeflow and DLT pipelines, evaluating data at defined checkpoints before it advances to the next layer. Quality rules and thresholds are defined once in Ataccama ONE and enforced automatically at each gate. Changes propagate across pipelines without requiring code updates. Records that fail a threshold are flagged, quarantined, or rerouted for remediation, ensuring downstream systems receive only trusted data.
  • An audit trail from source systems to AI outputs. Ataccama automatically scans source systems and captures lineage from Oracle, SAP, mainframes, and other enterprise environments through the Databricks platform to BI reports and regulatory outputs. Quality scores are recorded at each step, and full cross-system lineage – including systems outside Databricks that Unity Catalog cannot reach – is visible in a single interface.
  • Governance that follows the data, not the platform. Organizations can extend governance policies, stewardship processes, and metadata management across Databricks and upstream enterprise source systems across more than 200 connectors spanning mainframe and legacy environments, as well as platforms such as dbt and AWS Glue. Organizations define standards once, and Ataccama enforces them wherever data lives, moves, or is used.

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

Nexxen Launches MCP & Agent-to-Agent AI Integrations to Platform

By
Globe Newswire
-
0
Nexxen Launches MCP & Agent-to-Agent AI Integrations to Platform

One of the first platforms to support both in-platform AI usage and external agent integrations

nexAI embeds AI agents across planning, activation, optimization and monetization, within a platform that unifies demand, data and supply

Nexxen, the advertising technology platform powered by unique data and media, announced the next evolution of nexAI, with interoperability capabilities that allow external AI agents to connect to its platform via open protocols such as Model Context Protocol (“MCP”) and Agent-to-Agent (“A2A”), enabling customers to remotely access Nexxen’s advanced agentic capabilities through any MCP-compatible assistant. The launch will also include new agent-powered workflows across reporting, troubleshooting, campaign QA and audience research, building on nexAI’s existing agentic capabilities.

With the launch, Nexxen moves beyond in-platform AI features to an open AI operating system spanning a DSP, SSP and DMP, that delivers transparent, controllable and interoperable agentic AI across the full campaign lifecycle. In practice, this means Nexxen customers can integrate Nexxen’s data, planning and activation capabilities into their own tools and AI workflows, no longer operating solely inside the platform’s interface but building on top of it.

Marketing Technology News: MarTech Interview with Haley Trost, Group Product Marketing Manager @ Braze

Leveraging this endpoint, teams can stand up a reporting agent that compiles cross-campaign performance overnight and flags anomalies before the morning standup, run automated pre-launch campaign QA that checks setups against their own rules, and surface incremental spend recommendations directly inside their own planning tools, all while asking plain-language campaign management questions like “Which audience segments are performing best?” through whichever AI assistant their team prefers.

“Technologically advanced clients increasingly want AI systems that can connect across platforms and tools, rather than a walled garden approach. This new interoperability enables their teams to work more efficiently, while also auditing, understanding and governing their strategy’s execution end to end,” said Karim Rayes, Chief Product Officer, Nexxen. “This latest phase of nexAI reflects a major industry shift from AI experimentation to an open, agentic full-funnel AI layer that has only partially been addressed so far by platforms.”

Marketing Technology News: Cross-Department Collaboration with Marketing Workflow Automation: Enhancing Alignment Between Sales, Customer Service, and Marketing Teams

Collectively, nexAI delivers a distinct set of capabilities that remain largely nascent across the ad tech ecosystem:

True agentic workflows across the full funnel: Rather than isolating AI features, nexAI embeds AI agents across planning, activation, optimization and monetization within a platform that unifies demand, data and supply.

Dual-path architecture: Nexxen is one of the first to support both native AI usage inside the platform and external agent integration via open protocols like MCP and A2A.

Open, protocol-based interoperability: By embracing MCP and A2A connectivity, Nexxen is a “connectable” platform rather than a closed system.

Transparent, human-governed AI: nexAI emphasizes auditable decisions, human-defined guardrails and observable actions.

“Agentic buying is the next step in the evolution of how we transact media,” said Jeremy Cobb, Vice President of Digital Platforms, H/L. “While the rise of digital gave us the agility we lacked in the traditional TV era, agentic capabilities are the ultimate accelerator. By integrating these tools, we supercharge our speed-to-market and empower our teams to bypass manual data processing, executing optimizations at the precise moment they deliver the greatest impact. Nexxen’s latest advancements are a tremendous addition to this evolution, accelerating our ability to win in a fast-paced market.”

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

BlueZoo Announces In-Store Video Advertising Agent Built on Google’s AI Technology

By
MTS Staff Writer
-
0
BlueZoo Announces In-Store Video Advertising Agent Built on Google’s AI Technology

BlueZoo Logo

Building on collaboration at NRF 2026, BlueZoo demonstrates how Google’s latest AI technologies can improve the sales performance of in-store video advertising.

In collaboration with Google Cloud, and leveraging Google’s Gemini Enterprise technology, BlueZoo is making available an AI agent to optimize in-store video advertising. This solution is available on GitHub today and will be demonstrated at InfoComm 2026 in Las Vegas, June 17-19 at the BlueZoo booth #C9713.

One of the most exciting aspects of this collaboration is the use of accurate and timely audience measurement to guide AI generation of video.”

— Lavi Nigam, Machine Learning Engineer at Google

The announcement builds on the prototype unveiled at NRF 2026, where BlueZoo and Google showcased how real-time audience measurement and AI-generated video content could be combined to maximize revenue performance of in-store video advertising. The AI agent, layered on Google’s latest technology, allows retail media network operators to progressively make their advertising more effective while protecting consumer privacy.

“Not all in-store advertising delivers the same point-of-sale revenue. By calculating revenue-per-impression, BlueZoo’s audience measurement reveals which advertisements perform best,” said Bill Evans, CEO of BlueZoo. “Because Google’s video synthesis has dramatically lowered the cost of video generation, creative directors can iteratively create and test many alternatives to find the most effective creative, increasing in-store conversion across the store chain. BlueZoo is replacing assumptions about creative quality with data.”

Marketing Technology News: MarTech Interview with Theresa Pham, Head of Product @ Wayvia

BlueZoo’s platform provides fully anonymized audience measurement and analytics without collecting personally identifiable information. When combined with Google’s AI capabilities for low-cost video synthesis, retailers gain the ability to accelerate content creation, permitting iterative improvement of campaign creatives.

“One of the most exciting aspects of this collaboration is the use of accurate and timely audience measurement to guide AI generation of video,” said Lavi Nigam, Machine Learning Engineer at Google. “AI systems perform best when driven by fine-grain data that report real-world events. BlueZoo’s anonymized audience measurement, combined with retailer point-of-sales data, provide the inputs that the retail AI campaign agent uses to optimize the creative process.”

AI agent technology, designed to deliver intelligence and automate complex workflows to orchestrate multi-step tasks across connected systems. Google recently introduced Gemini Omni, its next-generation video generation technology. Accessing BlueZoo’s analytics in Google Cloud’s BigQuery data warehouse, employing Omni for video generation, and exposing the AI agent to retailer campaign managers via the Gemini Enterprise App, the agent employs a robust AI infrastructure.

Marketing Technology News: Idle data is as good as no data

The combined solution enables continual optimization in which AI-generated creatives are informed by real time audience data and adjusted based on point-of-sale revenue performance. This feedback loop improves advertising campaign effectiveness while preserving consumer privacy. As retail media networks evolve, this powerful combination of BlueZoo’s privacy-first analytics and Google’s AI infrastructure is essential for brands looking to maximize the ROI of every in-store screen. To experience this next-generation advertising agent firsthand, visit BlueZoo at InfoComm booth #C9713 or explore the open-source solution on GitHub today.

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

VidAU Launches AI Marketing Agents Built on a Proprietary Marketing Execution Harness

By
MTS Staff Writer
-
0
VidAU Launches AI Marketing Agents Built on a Proprietary Marketing Execution Harness

About Us -

VidAU launches AI Marketing Agents that unify content, ads, SEO, GEO, social media, and analytics into a self-learning marketing platform.

New platform transforms years of real-world marketing execution expertise into a reusable, learning-driven AI system that coordinates creative production, advertising, social media, creator marketing, SEO, GEO, and performance analytics.

The next generation of marketing won’t be defined by who has the biggest team or the largest software stack. Joanna, Co-Founder and CEO of VidAU”

— Joanna Chan, Vidau’s CEO.

VidAU today announced the launch of VidAU AI Marketing Agents, a new agentic marketing platform built on the company’s proprietary Marketing Execution Harness.
The launch marks VidAU’s evolution from an AI creative technology company into an AI-native growth infrastructure company. Instead of simply generating content or automating isolated marketing tasks, VidAU AI Marketing Agents convert proven marketing workflows, campaign playbooks, brand rules, channel knowledge, and performance feedback into a coordinated execution system that can plan, execute, measure, learn, and improve over time.

Marketing Technology News: MarTech Interview with Theresa Pham, Head of Product @ Wayvia

VidAU’s core belief is simple: the next generation of marketing will not be won by companies with the largest teams or the most software tools. It will be won by companies that can turn marketing expertise into compounding AI execution. “The next generation of marketing won’t be defined by who has the biggest team or the largest software stack.,” said Joanna, Co-Founder and CEO of VidAU. “It will be defined by who can turn marketing expertise into a system that executes, learns, and improves every day. VidAU is building that execution layer.”

From Marketing Tools to AI-Native Growth Infrastructure
Modern marketers often manage dozens of disconnected platforms, creating operational silos that slow execution and make optimization difficult. Creative teams, paid media specialists, SEO experts, influencer managers, and analysts frequently operate independently despite sharing the same growth objectives.
VidAU AI Marketing Agents eliminate those barriers by coordinating multiple specialized AI systems under one intelligent orchestration layer.
The platform includes dedicated agents responsible for:
Creative Generation: Producing videos, advertising assets, landing pages, and multilingual marketing content tailored for different audiences and platforms.
Advertising Management: Optimizing campaigns across Google, Meta, TikTok, and additional advertising ecosystems with continuous budget allocation and bid adjustments.
Social Media Operations: Planning, publishing, monitoring trends, and engaging communities across multiple social platforms.
Creator Marketing: Discovering relevant influencers, automating outreach, supporting collaboration workflows, and measuring campaign performance.
SEO & Generative Engine Optimization (GEO): Building content strategies that improve visibility across search engines as well as AI assistants and answer engines including ChatGPT, Perplexity, and other emerging discovery platforms.
Insights & Analytics: Connecting performance data across channels to identify opportunities, detect risks, and converting every campaign outcome into reusable knowledge for future execution.
Unlike standalone AI tools, every agent shares context and collaborates toward the same business goals instead of optimizing in isolation, allowing the system to coordinate decisions across channels and improve with every campaign cycle.

Marketing Technology News: Idle data is as good as no data

A Coordination Layer Built for Results
At the center of the platform is the VidAU Marketing Execution Harness, a proprietary control layer built from real-world marketing workflows, campaign playbooks, channel rules, brand governance patterns, and performance feedback loops accumulated through VidAU’s years of experience in creative production, localization, advertising, and global marketing operations.
The harness continuously translates high-level growth objectives into structured workflows, decomposes campaigns into agent-executable tasks, assigns work across specialized agents, applies brand and compliance guardrails, validates outputs before execution。
Instead of marketers coordinating software manually, they define objectives while the platform manages execution.

Learning From Every Campaign
One of the biggest limitations of traditional marketing automation is that each campaign often starts with little accumulated intelligence.
VidAU addresses this through a continuous learning framework that captures market signals, evaluates campaign performance, updates strategic models, and improves future decisions automatically.
Every execution cycle strengthens the platform’s understanding of audience behavior, creative performance, bidding strategies, and channel effectiveness—allowing optimization to compound over time rather than reset. Over time, this creates a marketing execution flywheel.
Built for the Era of AI Search
Consumer discovery is rapidly shifting beyond traditional search engines into conversational AI and generative answer platforms.
To help brands remain visible in this evolving landscape, VidAU integrates both Search Engine Optimization (SEO) and Generative Engine Optimization (GEO) into its autonomous workflow. The platform continuously identifies high-intent opportunities, develops content strategies, and adapts to changing search behaviors across both conventional and AI-powered ecosystems.
By treating GEO as a core marketing function instead of an afterthought, businesses can position themselves for long-term discoverability as AI increasingly influences purchasing decisions.

Enterprise-Ready by Design
VidAU AI Marketing Agents are designed for organizations that require scalability, governance, and seamless integration with existing infrastructure.
The platform supports direct connections with major advertising networks, CRM systems, customer data platforms, analytics environments, and enterprise workflows while maintaining brand consistency through built-in governance and compliance controls.
Multilingual capabilities and support for global markets enable organizations to deploy campaigns across regions without sacrificing localization or quality.

A New Category of Marketing Execution
For years, marketing software has helped professionals work faster.
VidAU believes the next evolution is software that works independently.
Rather than simply assisting marketers with isolated tasks, AI Marketing Agents assume responsibility for planning, coordinating, executing, learning, and optimizing toward measurable business objectives.
As organizations increasingly seek efficiency without sacrificing growth, autonomous marketing systems may become as fundamental as CRM and advertising platforms are today.

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

Truescope Launches Truescope AI, Transforming Media Monitoring Into AI-Powered Intelligence

By
MTS Staff Writer
-
0
Nowspeed Launches SEO AI Agent to Transform Search Optimization to Deliver a Breakthrough in Speed and Quality

Truescope's Competitors, Revenue, Number of Employees, Funding, Acquisitions & News - Owler Company Profile

New AI platform introduces two intelligent teammates — Truescope Assistant and Truescope Analyst — giving communications pros instant, deep media intelligence

Truescope, the media intelligence platform built for modern communications professionals, today announced the launch of Truescope AI, giving communications teams two intelligent teammates to autonomously analyse, summarise and deliver insights across their media landscape. The launch marks a pivotal step in Truescope’s transformation to a fully AI-powered intelligence platform.

“The new age of media monitoring and analysis is AI-first,” said John Croll, Truescope Co-founder and CEO. “Truescope AI puts two intelligent team members to work the moment you log in, so communications professionals spend less time on research and more time on strategic work that actually moves the needle.”

For communications professionals who need to understand the real-world impact of media and social coverage, Truescope AI delivers what legacy monitoring tools cannot: the ability to construct and execute complex queries across aggregate data in real time, surfacing actionable intelligence in minutes rather than hours. Truescope AI works across the entire media landscape simultaneously to deliver sentiment breakdowns, executive briefings, competitive analysis and crisis-ready reports on demand.

Marketing Technology News: MarTech Interview with Theresa Pham, Head of Product @ Wayvia

Truescope AI introduces two purpose-built AI teammates designed to capture every development and turn coverage into intelligence you can act on:

Truescope Assistant

Truescope Assistant is the always-on AI summariser teammate that ensures no piece of relevant coverage goes unnoticed. The moment a user is on the platform, Assistant has already processed and summarised the day’s media across every monitored source — surfacing what matters most and making media awareness effortless for every member of a communications team and their executives.

– Instant coverage summaries. Assistant summarises coverage across broadcast, online, print and social channels in Truescope in real time, collapsing hours of manual reading into a single structured brief. Daily and weekly digests run across saved searches automatically.
– Spike alert explainers. When coverage volume spikes, Assistant explains the topic, the driver, the lead outlets and the sentiment shift so the team can respond before the inbox fills.
– AI report sections and natural-language search. Drop an AI-written summary into any Truescope report in one click. Ask a question in plain language across your inbox and saved searches and Assistant returns the answer in seconds with the underlying articles cited.

Marketing Technology News: Idle data is as good as no data

Truescope Analyst

Truescope Analyst is the multi-agent AI media analyst purpose-built for communications. Ask one question and Analyst breaks it into parallel research threads (sentiment, share of voice, journalist profile, narrative risk, social conversation), runs each across Truescope’s enriched media pipeline, and returns one structured, source-cited report in minutes. What used to take a dedicated analyst days, or a third-party retainer weeks, now happens on demand. It delivers structured, evidence-backed intelligence that typically takes analysts hours to produce manually.

– Plain-language query engine. Users ask questions the way they naturally think and Analyst returns clear, sourced answers within minutes. Every insight is backed by transparent, traceable citations and source references so PR and comms professionals can walk into any meeting or crisis fully prepared.
– Sentiment, journalist and competitive intelligence. Analyst reports include granular sentiment breakdowns by source, topic and time period, alongside detailed journalist profiles that identify who is covering a story, how they frame it, and what their history reveals about their likely angle. Competitive analysis surfaces how your brand’s media presence stacks up against rivals across any defined period, giving teams the context to act decisively.
– Pre-built comms templates and comment-level social intelligence. Pick a template (share of voice, executive scorecard, crisis brief, journalist profile, competitor comparison, narrative analysis and more) and Analyst runs it across the entire monitored media set in minutes. On social, it covers comments and reactions across platforms for the full reaction beneath each post.

“AI should function as a true teammate for communications professionals, not just another tool,” said Michael Bade, Co-founder & Chief Technology Officer. “Truescope AI combines advanced reasoning with real-time media analysis to turn complex coverage into the strategic insights teams need to act faster and with greater confidence.”

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

Equinix Collaborates with Cisco and NVIDIA to Deploy Secure AI Factories Across Global Data Center Footprint

By
PRNewswire
-
0
Equinix Collaborates with Cisco and NVIDIA to Deploy Secure AI Factories Across Global Data Center Footprint

Presidio deploys Cisco Secure AI Factory with NVIDIA at Equinix data center in complementary, partner-led lab environment

Endorsed architectures and live testing lab deliver faster path for enterprises from pilot to production AI

Equinix, Inc., the world’s digital infrastructure company®, unveiled an expanded collaboration with Cisco and NVIDIA to accelerate enterprise AI. Working with its partners, the company will enable customers to deploy the Cisco Secure AI Factory with NVIDIA across its global network of high-performance data centers, providing customers with standardized AI factory blueprints and automation that simplify deployments.

Equinix is also partnering with Presidio to deploy their Programmable AI Technology Hub (P.A.T.H.) Lab. The lab will give customers a real-world environment inside Equinix data centers to test, validate and refine AI infrastructure before enterprise-wide rollout.

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

“The success of enterprise AI starts with its physical foundation,” said Gordon Mackintosh, Senior Vice President, Global Partner Sales and Ecosystems at Equinix. “Our collaboration with Cisco, NVIDIA and Presidio delivers the infrastructure AI workloads demand while giving customers a place to prove it out before they scale. This is how AI shifts from pilot to production with the speed, simplicity and certainty businesses need.”

By bringing the Cisco Secure AI Factory with NVIDIA into its global data centers, Equinix is making it easier for customers to access the interconnection density, specialized power and advanced cooling customers and partners need to deploy the latest AI hardware and software at scale. These deployments are based on NVIDIA reference architectures that are purpose-built to reflect how enterprises buy and deploy technology: through trusted partners and on infrastructure platforms they already rely on.

“As agentic AI reshapes the industry, long-term success belongs to partner ecosystems that can adapt and innovate as rapidly as the technology itself. Our collaboration with Equinix, Presidio and NVIDIA to deliver the Cisco Secure AI Factory with NVIDIA illustrates how a trusted agile partner ecosystem can deliver secure, flexible AI infrastructure quickly to meet customers’ needs,” said Cassie Roach, Global Vice President of Cloud and AI Infrastructure Partner Sales at Cisco.

Marketing Technology News: Feature-Rich to Functionally Effective: Adjusting your Martech Strategy

Bringing these architectures to life in a real-world environment, Presidio, a leading global technology services and solutions provider, has partnered with Equinix to develop the Programmable AI Technology Hub (P.A.T.H.) Lab. Built on Cisco’s Secure AI Factory with NVIDIA, the lab is a fully integrated, production-grade AI environment purpose-built for enterprises to test, validate, and refine their AI strategies before committing to full-scale deployment. Through the combined expertise of Presidio, Cisco, NVIDIA and Equinix, enterprises gain access to turnkey AI infrastructure proven to work across hybrid workloads, spanning public cloud, neocloud, on-premises, and colocation environments.

“One of the most important shifts we’ve seen in the last 18 months is that AI success is no longer about finding the most powerful model,” said Tim McHugh, VP Partnerships & Alliances at Presidio. “It’s about building the infrastructure that can run AI everywhere it matters, without sacrificing data sovereignty or control. Equinix Distributed AI™ is the foundation that makes that possible at global scale, and P.A.T.H. is how Presidio brings that capability directly to our clients. We’re not asking them to take our word for it — we’re putting them inside a production-grade environment and showing them what distributed AI infrastructure actually looks like in practice.”

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

Thanis Introduces Executive Review Framework for Leadership Communication

By
MTS Staff Writer
-
0
Claritas and Comcast Advertising Bring Audience Intelligence and Measurement Together to Boost Campaign Performance

Thanis

Thanis Executive Review Framework preserves leadership voice while sharpening communication behind every critical decision.

Thanis today announced Executive, a new review framework designed to help leaders evaluate assumptions, strengthen reasoning, and preserve ownership of their communication.

Executive was developed around a simple premise: important decisions often begin as written recommendations. While many communication tools focus on grammar, readability, and content generation, Executive evaluates communication through the lens of reasoning quality, accountability, recommendation strength, and decision readiness.

As AI-assisted writing becomes increasingly common in the workplace, organizations face a new challenge: ensuring leadership communication still reflects the judgment, reasoning, and voice of the people responsible for making decisions.

Marketing Technology News: MarTech Interview with Theresa Pham, Head of Product @ Wayvia

Board recommendations, acquisition assessments, transformation initiatives, investor updates, executive announcements, policy changes, and security incident communications increasingly shape organizational outcomes through written communication long before discussions occur in a meeting room.

“Many of the most important decisions inside organizations are influenced by documents before they are influenced by meetings. We became interested in helping leaders examine the assumptions, logic, and accountability structures inside those documents before they influence outcomes. As AI becomes a larger part of professional communication, preserving the leader’s voice becomes even more important. Organizations need to hear what their leaders actually think, not simply what an AI system generates on their behalf,” said, Stephen Woodard, Founder, Thanis.

The release comes as organizations continue evaluating the role of artificial intelligence within professional communication. While many tools focus on helping people create content faster, Executive was designed to address a different challenge: helping leaders critically evaluate the strength of the communication they have already written.

Marketing Technology News: Idle data is as good as no data

The framework reviews documents across several dimensions, including:
-Clarity of recommendation and intent
-Strength and progression of supporting arguments
-Communication force and executive credibility
-Voice ownership and consistency
-Accountability and recommendation ownership
-Assumptions influencing proposed outcomes

A central capability within the framework is Critical Assumption Analysis, which identifies the single belief most responsible for carrying a recommendation and explains how that assumption may influence the proposed outcome.

According to Thanis, the capability emerged from observing a recurring pattern across leadership communications. Recommendations often appeared persuasive on the surface while depending on assumptions that remained unstated within the argument itself.

During development, Executive was evaluated against a broad range of publicly available and real-world leadership communication scenarios, including board recommendations, acquisition assessments, organizational restructuring proposals, strategic transformation initiatives, security incident communications, vendor renewal decisions, and executive thought leadership content.

The objective was not simply to improve writing style. The objective was to strengthen decision communication.

Thanis believes the distinction is becoming increasingly important as organizations rely more heavily on written communication to coordinate decisions across distributed teams, business units, partners, investors, regulators, and stakeholders.

As AI-generated content becomes easier to produce, the company believes leaders may place greater value on systems that help evaluate reasoning, challenge assumptions, and preserve accountability rather than simply accelerate content creation.

Executive is designed to function as a review layer rather than a generation layer, allowing leaders to maintain ownership of both their message and their decisions while receiving structured feedback on the strength of the communication itself.

“We weren’t trying to build another tool that helps people write faster. We wanted to help leaders think more carefully about the decisions their communication is carrying. Executive was designed to strengthen decision communication while preserving ownership of both the message and the reasoning behind it,” added Stephen Woodard, Founder, Thanis.

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

MoEngage Launches Customer Engagement Magazine: Human or AI? For B2C Marketers

By
PRNewswire
-
0
MoEngage Launches Customer Engagement Magazine: Human or AI? For B2C Marketers

Inaugural Issue, Available Now, Features Insights from Chiefmartec’s Scott Brinker, Executives from Amazon Music and Calm

MoEngage, the Agentic customer engagement platform trusted by 1,350+ global consumer brands, launched The Customer Engagement Magazine: Human or AI?, a new quarterly print magazine for B2C marketers. The Customer Engagement Magazine offers practical insights from some of the marketing industry’s most respected practitioners on navigating the tension between automated efficiency and human judgment.

MoEngage is marking the launch with a physical debut at Movable Ink’s ThinkSummit, taking place June 16th–17th in New York City. Attendees can visit MoEngage at Booth #7 to pick up a complimentary copy of Issue 1 and subscribe to receive Issues 2 and 3 upon release.

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

The publication’s overarching theme, “Human or AI?,” is explored across three core marketing disciplines:

  • Data: Why AI fails on bad foundations.
  • Personalization: Where the human touch is non-negotiable.
  • Risk: Navigating the ethics of automation.

Each issue, delivered quarterly, goes beyond short-form content to offer a nuanced, in-depth exploration of the complex relationship between human expertise and AI efficiency in customer engagement.

“Marketing leaders are tired of AI hype; they want to know how to actually lead in this new era,” said Raviteja Dodda, Co-founder and CEO of MoEngage. “We created this magazine because, while MoEngage is an Agentic platform, the ‘human’ element has never been more critical. After the response to our previous book, it was clear that marketers want more than digital content: they want a physical, practitioner-led guide to help them decide where AI should take the wheel and where the human hand must stay on the pulse.”

The inaugural issue, Data, takes a deep dive into the core concept that data does not automatically produce better decisions. Each contributor explores the question: “What happens when teams give AI the authority to make decisions on a foundation that is not ready?”

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

Issue 1 features compelling editorials from Chiefmartec’s Scott Brinker, Gary Kamikawa, Head of Marketing Technology at Amazon Music, Jeffrey Lee, Lifecycle Marketing Technical Lead at Calm, and other industry leaders. In addition to the print version, subscribers can opt for a digital edition.

In an era where bland, AI-generated content is abundant, the magazine takes a more human approach, leaning heavily into valuable storytelling, Q&As, and lived experience to create a durable, premium print asset. Beautifully designed and thoughtfully edited, each edition is a collectible that marketers will want to save, discuss, and share with colleagues.

The Customer Engagement Magazine: Human or AI? was created for modern B2C brand marketers, industry decision-makers such as CEOs, CMOs, and VPs of Marketing from leading organizations, and the broader MoEngage community.

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

Thoughtworks Launches Agent/works™ to Govern and Run Enterprise AI Agents Across Any Cloud

By
PRNewswire
-
0
Thoughtworks Launches Agent/works™ to Govern and Run Enterprise AI Agents Across Any Cloud

New platform gives enterprises a single control plane and governed runtime to manage agent sprawl, risk and AI spend

Thoughtworks, a global technology consultancy that integrates design, engineering, and artificial intelligence (AI) to drive digital innovation, announced the launch of Agent/works™ by Thoughtworks, a platform that gives enterprises a single control plane and a governed runtime for their AI agents, deployable on any cloud. Thoughtworks will showcase the platform at the annual Databricks Data + AI Summit, where it is partnering with Databricks to highlight approaches to enterprise AI governance and agentic systems.

While 2025 was defined by AI experimentation, 2026 has brought a high-stakes operational reality. The rise of AI-assisted development and autonomous agents that can access data, invoke tools, and execute workflows is creating a new governance challenge for enterprises. According to Sonar’s 2026 State of Code Developer Survey, developers report that 42% of committed code is now AI-generated or AI-assisted. At the same time, research from AppSec Santa found that 25% of AI-generated code samples contained critical security vulnerabilities.

As organizations grant increasing authority to autonomous systems, security, compliance and governance teams are struggling to keep pace, resulting in growing agent sprawl across the enterprise. Left unchecked, organizations risk exposing sensitive data, violating compliance requirements, deploying autonomous systems with insufficient oversight and losing visibility into rapidly growing AI operating costs.

The hard question is no longer whether an agent can act but what has to be true for it to act safely. Agent/works™ treats that as an architectural problem rather than a checklist, building governance into the runtime itself so teams have the freedom to build, with guardrails that accelerate rather than obstruct innovation. Agent/works™ addresses this challenge by offering a single source of truth for every agent deployed across any cloud, giving enterprises visibility into governance, performance and AI spend.

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

“When anyone can generate software with a text prompt, AI governance isn’t a checklist you bolt on after the fact. It’s a foundational requirement for operating autonomous systems at scale,” said Shayan Mohanty, chief data and AI officer at Thoughtworks. “Every AI-powered workflow now carries an operating cost. The challenge for enterprises is no longer just how to build agents, but how to govern the resources they consume. Without runtime controls, costs can scale as quickly as the agents themselves. Agent/works™ gives organizations visibility and governance across their agent ecosystem, helping them control spend, manage risk and scale AI with confidence. Governance done this way stops being a brake and becomes the engine that lets teams move fast, safely and at scale.”

Agent/works™ introduces several core capabilities for the agentic enterprise:

Provable compliance before execution: Before an agent runs, Agent/works™ analyzes every path through its workflow and confirms at least one fully compliant path exists end to end.

Permissions built for agents, not borrowed from humans: Recognizing that an agent accessing public web data carries a different risk profile than one accessing internal finance data, Agent/works™ grants capability-based, scope-bound, and time-limited permissions that narrow automatically as an agent touches sensitive systems.

A governed runtime for every kind of agent: From autonomous, end-to-end workflow agents to interactive coding agents (such as Claude Code-style tools), Agent/works™ runs each agent in a governed environment with policies that adapt during execution.

Composable and portable by design: Operating on a multi-model backend, Agent/works™ registers any model using a standard API, connects any tool, and delegates to a cloud’s native services and trusted third-party agents, allowing scoped permissions to travel seamlessly with every handoff.

A single source of truth for the fleet: A centralized registry provides comprehensive visibility, evaluations, usage analytics and cost controls across every agent, model, tool, and policy in the enterprise estate to keep behavior aligned with business objectives.

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

Through its work with Databricks, Thoughtworks is helping enterprises scale agentic AI with the governance, visibility, and controls required for production use.

“The organizations moving fastest with agents are extending the same governance models already used for enterprise data across agent workflows themselves,” said David Nasi, director of product management, AI and agentic platform at Databricks. “This shift matters because it turns governance from a bottleneck into an enabler, making it much easier to scale autonomous systems safely across the entire enterprise.”

Agent/works™ is built as a foundational layer rather than an isolated point solution, allowing enterprise product teams to build custom agentic applications on top of it. Thoughtworks’ own agentic development offering, AI/works™, runs directly on the platform, demonstrating Agent/works in active production. Thoughtworks brings decades of experience helping enterprises manage complexity, governance and large-scale systems transformation, challenges now emerging rapidly in the agentic era.

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

Kirkham IronTech Joins EasyDMARC’s MSP Program to Enhance Email Security and Deliverability for Clients

By
MTS Staff Writer
-
0
Kirkham IronTech Joins EasyDMARC’s MSP Program to Enhance Email Security and Deliverability for Clients

EasyDMARC email security - ABS Technologies

EasyDMARC, a vendor of the cloud-native email security and deliverability platform, announced today a strategic partnership with Kirkham IronTech, a leading managed service provider offering technical support for businesses in the USA.

This partnership will help Kirkham IronTech’s clients to protect their email domains from being used for phishing and other fraudulent activities, as well as improve their email deliverability rate.

Email security has become a significant concern for businesses of all sizes as cyberattacks, such as phishing and spoofing, are becoming increasingly sophisticated. In light of this, Kirkham IronTech has taken a proactive approach to help its clients secure their email domains and protect their sensitive information.

Marketing Technology News: MarTech Interview with Theresa Pham, Head of Product @ Wayvia

“Most businesses still underestimate how exposed email really is,” said Tom Kirkham, CEO of Kirkham IronTech. “Spoofing and phishing attacks are getting more sophisticated every day. Partnering with EasyDMARC gives us another strong tool to help clients lock down their domains and better protect their people.”

“We are thrilled to welcome Kirkham IronTech to our growing partner network. Their commitment to delivering exceptional IT services and support to their clients aligns perfectly with our mission to make email safer for everyone,” said Gerasim Hovhannisyan, CEO of EasyDMARC.

Marketing Technology News: Idle data is as good as no data

The DMARC standard enables the automatic flagging and removal of receiving emails that are impersonating senders’ domains. It is a crucial way to prevent outbound phishing and spoofing attempts.

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

Jasper Launches End-to-End GEO Agent for Enterprise Marketers

By
PRNewswire
-
0
Jasper Launches End-to-End GEO Agent for Enterprise Marketers

New autonomous GEO capabilities help brands analyze, optimize, and continuously improve how they appear across AI-powered discovery platforms like ChatGPT, Gemini, and Claude

Jasper, the world’s leading marketing agents platform, announced the launch of its end-to-end GEO Agent, a new autonomous agent designed to help marketing teams continuously analyze, influence, and improve how their brand appears across AI-powered search and discovery experiences. Supported by GEO Hub, a centralized command center for AI visibility insights, the GEO Agent continuously analyzes discoverability signals, identifies visibility gaps, and executes optimization workflows that improve brand representation, citations, sentiment, and share of voice across leading AI platforms.

As generative AI reshapes how buyers research brands and make purchasing decisions, marketers face a new challenge: AI-generated answers increasingly shape perception before customers ever visit a website. According to Forrester, 94% of B2B buyers now use generative AI during the purchasing process, while traditional organic traffic continues to decline. At the same time, AI systems frequently generate incomplete, inaccurate, or inconsistently framed brand information based on fragmented signals across analyst reports, reviews, third-party sites, social platforms, and owned content. This shift is creating a new competitive battleground around AI discoverability: not only whether brands appear in AI-generated answers, but how they are represented, compared, cited, and recommended.

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

Jasper’s GEO Agent is designed to help enterprises address this challenge through a continuous, closed-loop optimization system. While many solutions focus primarily on tracking AI visibility or generating AI content, Jasper connects visibility insights directly to autonomous execution, allowing teams to identify opportunities and operationalize improvements at scale.

“Optimizing our event and media sites for AI search is a daunting, time-consuming endeavor,” said Alexis Carroll Cline, Sr. Director of Marketing at Emerald. “Jasper’s new GEO Agent changes that, helping us update content at scale with recommendations grounded in research and aligned to the right messaging for each audience and brand. It’s an incredibly valuable tool, and I’m excited to see the impact it delivers.”

The GEO Agent acts as an always-on GEO strategist for enterprise marketing teams. It analyzes how brands appear across leading AI platforms, identifies discoverability gaps, optimizes existing assets, generates new content, and improves how AI systems interpret and retrieve brand information over time. The agent can also coordinate additional Jasper agents and workflows to help marketing teams move from insight to action across content, SEO, brand, and growth workflows.

The GEO Agent is supported by GEO Hub, which gives teams centralized visibility into key AI discoverability signals, including visibility, citation rates, sentiment, share of voice, and competitive positioning. Together, the GEO Agent and GEO Hub give marketers an end-to-end system for monitoring, understanding, and improving their brand’s presence across AI-driven discovery experiences.

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

“AI is fundamentally reshaping how brands are discovered, evaluated, and recommended,” said Timothy Young, CEO of Jasper. “Most enterprises still rely on workflows designed for traditional search and static content optimization. What marketers need now is an intelligent system that not only understands how AI platforms represent their brand, but can continuously improve that representation over time. Jasper connects visibility insights directly to autonomous execution, giving enterprises a scalable way to influence how they appear across AI-driven discovery experiences.”

The launch of the GEO Agent marks the next evolution of Jasper’s marketing agents platform and the first in a new class of role-based agents built to execute complex marketing work from insight to action. Powered by Jasper IQ, the platform embeds brand voice, governance, audience, product, and performance context directly into every workflow, helping enterprise teams scale AI-driven discoverability optimization while maintaining consistency, compliance, and control.

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

Ping Identity Extends Runtime Identity™ for AI Agents Across AWS, Google Cloud, and Cloudflare

By
PRNewswire
-
0
Ping Identity Extends Runtime Identity™ for AI Agents Across AWS, Google Cloud, and Cloudflare
Ping Identity Extends Runtime Identity™ for AI Agents Across AWS, Google Cloud, and Cloudflare

Ping Identity Logo

New integrations extend continuous authorization and policy enforcement into cloud and edge environments where AI agents are built, deployed, and operated

Ping Identity, a leader in securing digital identities for the world’s largest enterprises, announced integrations with Amazon Web Services (AWS), Google Cloud, and Cloudflare that extend Runtime Identity into the cloud and edge environments where AI agents are built, deployed, and operated.

Security teams need to know what AI agents can access, what actions they are performing, and how those actions are governed in real time across distributed environments. Ping’s Runtime Identity™ approach extends identity and access controls beyond authentication and into continuous authorization and enforcement, helping organizations maintain real-time visibility and control as AI-driven operations scale.

“Organizations want to move faster with AI, but they can’t afford to lose visibility or control as AI agents begin operating autonomously across cloud and edge environments,” said Andre Durand, CEO and Founder of Ping Identity. “These integrations help bring continuous authorization and real-time policy enforcement into the environments where AI agents are being built and deployed.”

AI agents do not operate inside a single platform, cloud, or identity boundary. They will invoke tools, call APIs, move across cloud workloads, interact with agent gateways and MCP servers, and reach data and services at the edge.

Ping is extending its Runtime Identity capabilities into those execution paths, helping enterprises authorize agent actions, enforce policy, and monitor activity where AI agents actually operate. By bringing identity enforcement closer to the point of action, organizations can scale agentic operations without fragmenting visibility, governance, or control.

This builds on Ping Identity’s broader Identity for AI strategy, which helps organizations establish trusted identities and governance controls for AI agents operating across distributed environments.

Marketing Technology News: MarTech Interview with Kurt Donnell, CEO @ Freestar

Runtime Identity Across Cloud and Edge Platforms

Ping Identity is available with AWS, Google Cloud, and Cloudflare to extend Runtime Identity enforcement into the systems and services supporting AI operations. This allows enterprises to centralize authorization and policy enforcement instead of embedding controls across individual agents, tools, and MCP servers.

AWS: Securing Agent Actions Across Cloud Workloads
On AWS, Ping Identity is a Security Competent ISV partner that helps secure AI agents built on services like Amazon Bedrock AgentCore and broader intelligent automation workloads. Ping and AWS help customers:

  • Establish trusted identities for AI agents on top of AWS services and third-party tools
  • Enforce delegated, least-privilege access as agents interact with APIs, tools, and multi-account environments
  • Align agent behavior with enterprise policies governing sensitive data, regulated workloads, and operational limits

“Production AI workloads require identity and authorization controls that can adapt dynamically as agents interact across cloud environments,” said Hart Rossman, VP of Security and Infrastructure at AWS. “Together, AWS and Ping Identity help customers apply delegated access and real-time governance controls across AI-driven workloads operating at enterprise scale.”

Google Cloud: Runtime Governance for Agent and Tool Traffic
With Google Cloud Agent Gateway, Ping Identity enables enterprises to secure and govern agent and tool traffic across network paths. By integrating PingOne Authorize into the Agent Gateway flow, customers can:

  • Authenticate agents with delegated identities tied to the users or systems they represent
  • Enforce fine-grained policies across agent and tool interactions, including MCP tools and downstream APIs
  • Centralize authorization logic and gain visibility into the users, agents, tools, and policies driving runtime decisions

Marketing Technology News: Programmatic Ad Platforms With Unique AdTech Features

Cloudflare: Identity Enforcement at the Edge
With Cloudflare, Ping is extending identity enforcement to the edge, where AI agents are interacting with public and private data, services, and distributed infrastructure. The partnership leverages Cloudflare’s global infrastructure networks, one of the largest and most interconnected in the world, and with 220 cities running GPUs for AI inference worldwide. This expansion builds on Ping and Cloudflare’s joint Zero Trust approach to secure application access with strong authentication and simplified policy enforcement. Joint capabilities focus on:

  • Securing agent and MCP traffic with strong, scoped credentials backed by enterprise identity controls
  • Applying Zero Trust policies to AI agent traffic accessing models and enterprise data globally
  • Monitoring and auditing agent activity across distributed edge environments

“Cloudflare is a critical infrastructure layer for AI agent deployments, where enterprises run and secure agentic AI workloads,” said Tom Evans, Chief Partner Officer at Cloudflare. “Identity and Zero Trust are key to maintaining visibility and control as organizations deploy AI agents across distributed environments. Expanding our work with Ping Identity will further enable organizations to secure AI agent traffic and MCP servers at the edge.”

AI is transforming how organizations build, operate, and secure digital experiences. Ping Identity is helping enterprises move faster with AI while protecting the trust behind every digital interaction.

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

CTM Expands Conversation Intelligence Ecosystem with New Integrations and Platform Enhancements

By
PRNewswire
-
0
CTM Expands Conversation Intelligence Ecosystem with New Integrations and Platform Enhancements

Conversation Analytics Software for Sales & Marketing | CTM

New integrations, expanded partner capabilities, and a sixth consecutive Inc. Best Places to Work recognition highlight CTM’s continued growth.

CTM, a global conversation analytics company, announced a series of mid-year momentum updates, including new integrations, expanded platform capabilities, workplace success and company culture excellence recognition, and continued investment in industry leadership.

“Customer journeys today span calls, messaging, forms, chat, and AI-powered interactions, but most organizations still struggle with disconnected engagement data,” said Todd Fisher, co-founder and CEO of CTM. “Our continued investments in integrations and interoperability are focused on helping businesses better connect customer conversations to marketing performance and revenue outcomes.”

Marketing Technology News: MarTech Interview with Kurt Donnell, CEO @ Freestar

New Integration and Platform Updates

These updates provide marketing, sales, and customer experience teams with greater visibility and control across customer engagement systems. Through CTM’s Ecosystem, customers and partners can activate a range of integrations without complex implementation, including:

  • Freshpaint: Automatically sends call, SMS, form, and real-time chat activity to Freshpaint, helping healthcare and enterprise marketing teams have a unified view of attribution and performance tracking without manual workflows or engineering support.
  • Ritten: Qualified call activity is automatically synced into Ritten, providing a centralized view of customer interactions and attribution. Teams can access call summaries, timestamps, and duration, and easily create new CRM cases or link calls to existing records.
  • HubSpot: Expanded integration with enhanced softphone functionality and improved data synchronization capabilities, including support for forms, SMS, chat, and fax activity; improved field mapping; click-to-call functionality; and full API logs for easier troubleshooting.

“At Ritten, we’re focused on removing the administrative burden that gets in the way of behavioral health teams doing what they do best: connecting people to care,” says Noah Whitehead,

CEO of Ritten. “Our integration with CTM means that when an admissions team gets a call, Ritten is working in the background to automatically capture that lead, build out the case, and surface the context staff needs to take action. We’re proud to deepen our relationship with CTM and excited about what this means for our customers.”

Marketing Technology News: Programmatic Ad Platforms With Unique AdTech Features

Company and Industry Momentum
As part of its continued growth strategy, CTM recently launched its new CTM.com domain following the company’s rebrand from CallTrackingMetrics to CTM earlier this year. The rebrand introduces a new name, visual identity, and website designed to reflect CTM’s evolution as an AI-driven communications intelligence platform.

As the company continues to grow, its commitment to employee experience was recognized by Inc., which named CTM to its Best Places to Work list for the sixth consecutive year. The list honors 500 American companies that have built exceptional workplaces and vibrant cultures that support their teams and businesses, based on management effectiveness, perks, professional development, and overall company culture.

CTM also continues to invest across the business with several strategic hires, including a new Director of Finance, senior engineering talent, an Enterprise Partnerships Manager, Product and Integrations Managers, and additional roles across marketing, sales, and customer experience.

Additionally, Rick Ruth, Senior Director of Carrier Relations & Regulatory, has been invited to join REACH’s Government Affairs Advisory Council, where he will contribute to comments on Mobile Phone Regulatory Matters (MPRM) that could influence communications policy discussions at both the FCC and congressional levels.

“Having a CTM voice represented at this level is incredibly valuable as communications technology, customer engagement, and regulatory expectations rapidly evolve,” continued Fisher. “Rick’s expertise and perspective on the industry will help ensure our business and customers are represented in conversations that shape the future of communications technology and regulation.”

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

Geebo Marks 26 Years Online, Reflecting on a Different Vision for the Internet

By
prweb
-
0
Geebo Marks 26 Years Online, Reflecting on a Different Vision for the Internet

Geebo.com Safe Community Classifieds

One of America’s earliest online classified platforms says safety, accountability, and trust mattered long before Silicon Valley embraced the conversation.

Twenty-six years ago, when most newspapers still dominated classified advertising and the internet remained largely experimental for local commerce, Geebo launched with a different vision for what online marketplaces could become.

Founded in May 2000, Geebo began in Sacramento, California, initially selling banner advertising to local businesses while quietly building one of the internet’s earliest independent online classified platforms. At a time when many traditional media companies viewed the web as secondary to print, Geebo recognized that consumer behavior was already beginning to shift toward faster, more accessible online marketplaces.

What started as a local initiative quickly expanded nationwide, placing Geebo among the earliest companies competing to redefine classified advertising for the digital era.

Marketing Technology News: MarTech Interview with Theresa Pham, Head of Product @ Wayvia

But unlike many internet platforms that prioritized rapid expansion above all else, Geebo chose a different approach. From its earliest days, the company emphasized moderation, fraud prevention, and user safety — often manually reviewing submissions and removing suspicious activity long before “trust and safety” became a standard technology industry phrase.

Over the years, that philosophy would increasingly distinguish Geebo from many competitors operating under a largely hands-off model.

As scams, fraud, and exploitation became more widespread online, Geebo publicly advocated for stronger safeguards across the classified advertising industry. The company frequently criticized what it viewed as insufficient moderation practices elsewhere and argued that online platforms had a responsibility to actively protect their users rather than simply operate as passive hosts.

Marketing Technology News: Idle data is as good as no data

Geebo’s positions gained broader attention during national debates surrounding online classifieds, human trafficking, scams, and platform accountability. While many technology companies were reluctant to discuss moderation and oversight, Geebo continued arguing that online businesses could remain profitable without abandoning responsibility.

The company survived multiple eras of internet disruption, including the dot-com collapse, the rise of social media, dramatic changes in digital advertising, and the consolidation of online marketplaces into global technology ecosystems.

Today, as discussions surrounding artificial intelligence, online fraud, scams, and platform accountability dominate the tech industry, many of the concerns now being debated publicly are issues Geebo was addressing decades earlier.

“From the beginning, we believed online platforms had a responsibility to protect the people using them,” said Greg Collier, founder of Geebo. “There were easier ways to grow, but we chose to prioritize trust, moderation, and accountability even when much of the tech industry dismissed those ideas. Twenty-six years later, those conversations have become central to the future of the internet.”

As Geebo marks its 26th anniversary, the company says the milestone is less about longevity alone and more about proving that internet companies can evolve while remaining committed to user trust and responsible operation.

In an industry often driven by scale, speed, and the next trend, Geebo’s legacy remains rooted in a simpler principle: building an online marketplace people can trust.

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

UiPath Introduces Maestro Case to Orchestrate Dynamic, Exception-Heavy Business Processes Across the Enterprise

By
Business Wire
-
0
UiPath Introduces Maestro Case to Orchestrate Dynamic, Exception-Heavy Business Processes Across the Enterprise

UiPath Logo

New AI-native orchestration capability helps coordinate AI agents, robots, people, applications, and data, across complex, evolving enterprise business processes

UiPath, Inc. , a leader in business orchestration and automation, announced Maestro Case, a new AI-native UiPath agentic case management capability. Available today as part of the UiPath Maestro™ business orchestration capabilities, Maestro Case extends governed orchestration and automation to complex and exception-laden case management, allowing enterprises to manage dynamic, long-running cases with greater visibility, control, and execution speed.

“Modern case management is no longer about tracking work—it’s about orchestrating dynamic complex processes, where exceptions are the norm,” said Raghu Malpani, Chief Technology & Product Officer, UiPath.

In a recent UiPath survey of nearly 600 C-Suite and IT practitioners at large companies ($1B+ in revenue), 52% reported that the presence of hybrid workflows—a combination of static, repeatable processes and dynamic, context-dependent processes—across their day-to-day operations. Those dynamic processes, such as customer requests, investigations, and approvals, are managed through disconnected emails, spreadsheets, and point solutions, creating delays, inconsistent outcomes, and limited visibility.

Marketing Technology News: MarTech Interview with Theresa Pham, Head of Product @ Wayvia

Without a coordinated view of a case, with people, systems, data, and AI agents in a single workflow, it becomes difficult to ensure the right actions occur at the right time. Additionally, the valuable context of those actions can be lost as the case moves through teams and the organization, impacting resolution speed, compliance, and transparency, making it harder to scale operations without increasing complexity.

Maestro Case is designed for enterprises living in hybrid environments that need more than orchestrating defined paths. As a new capability with UiPath Maestro, Maestro Case treats the case as a dynamic business entity that carries its data, participants, timeline, and execution context across stages, actors, and systems. Configurable case and stage management agents help move work forward, while robots, AI agents, and people execute tasks within governed workflows. Human review and escalation can be built into the process for exceptions, compliance needs, and decisions requiring judgment. Additionally, as an AI-native offering, Maestro Case is fully supported by any coding agent of choice across every stage of a case, including build, test, debug, deploy, and operate.

Marketing Technology News: Idle data is as good as no data

“Modern case management is no longer about tracking work—it’s about orchestrating dynamic complex processes, where exceptions are the norm,” said Raghu Malpani, Chief Technology & Product Officer, UiPath. “With Maestro Case, organizations can bring together people, AI agents, systems, and business processes into a single coordinated experience. Teams can resolve complex cases faster, adapt to changing business needs, and deliver the visibility, governance, and agility required in today’s enterprise environment.”

Early design adopters are already seeing measurable results, reporting a 60–80% reduction in average case handling time, a three-to-five times increase in cases resolved without human intervention, and SLA compliance improvements of more than 25 percentage points. One financial services adopter projects more than $12 million in annual savings from leveraging Maestro Case to automate dispute resolution and KYC case workflows.

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

EDO Powers ChatEDO™ with Snowflake Cortex AI, Delivering Agentic AI That Runs Where the Data Lives

By
Business Wire
-
0
EDO Powers ChatEDO™ with Snowflake Cortex AI, Delivering Agentic AI That Runs Where the Data Lives

By running Cortex Analyst, Cortex Search, and Cortex Agents in a unified production stack against EDO’s investment-grade Convergent TV data, ChatEDO gives brands and agencies instant natural-language access to a decade+ of TV outcomes — with the precision, speed, and governance enterprise clients demand

EDO, the TV outcomes company, continues leveraging Snowflake’s best-in-class agentic capabilities to innovate with ChatEDO™, the industry’s first natural-language AI interface for Convergent TV measurement. Built on Snowflake, the AI Data Cloud company, ChatEDO gives brands, agencies, and networks instant natural-language access to a decade of EDO’s irreplicable, investment-grade Convergent TV intelligence — no queries, no dashboards, no analyst email queue. Answers arrive in seconds, with the governance, precision, and accuracy that enterprise advertising demands.

ChatEDO leverages Snowflake Cortex AI, including Cortex Analyst, Cortex Search, and Cortex Agents, working together in a unified agentic stack to translate plain-English questions into investment-grade answers — drawing directly from EDO’s industry-leading Convergent TV intelligence database.

Rather than routing sensitive TV outcomes data through external AI models or third-party services, Cortex AI operates entirely within EDO’s Snowflake environment, bringing enterprise-grade governance, security, and compliance capabilities along with it. Cortex Analyst generates SQL with native confidence scoring built into every query — not estimated after the fact by an outside system. Cortex Search replaces what would otherwise require a separate external vector database. Cortex Agents orchestrate both with multi-turn memory and automatic routing.

Marketing Technology News: MarTech Interview with Theresa Pham, Head of Product @ Wayvia

These three capabilities would usually require three vendors, but with Snowflake, they are unified in one agentic stack. The result is a system that gets measurably smarter over time and that EDO’s product team can continuously optimize and improve with precision. Snowflake and EDO collaborated closely on production optimization, jointly identifying failure modes invisible from query results alone.

“Across our advertising, media, and entertainment customers, the most successful AI deployments share a common foundation: they bring AI to where the data already lives, instead of moving the data to the AI,” said Dennis Buchheim, Snowflake’s Global Head of Marketing Technology, Media & Entertainment. “EDO’s investment-grade Convergent TV intelligence datasets combined with ChatEDO shows what becomes possible when that breadth and depth of data meets Snowflake’s full agentic AI stack. Cortex Analyst, Cortex Search, and Cortex Agents were designed for exactly this kind of domain-specific use case — where accuracy, speed, and governance all have to operate in the same system. This is what enterprise AI looks like in production.”

Marketing Technology News: Idle data is as good as no data

Why Building ChatEDO on Snowflake Cortex’s full Agentic Stack Matters

Launched in February 2026, ChatEDO has been continuously active and in demand from brand and agency marketing teams receiving invite-only early access, which has maintained stronger than expected demand. EDO’s agentic system runs on three Cortex AI capabilities – each chosen for a specific job and reinforced by a continuous evaluation framework that keeps quality high as the underlying data and query patterns evolve.

  • Cortex Analyst: Users ask questions in plain English, and Cortex Analyst translates these into optimized SQL against EDO’s TV ad data warehouse, powered by an underlying semantic view layer that maps business concepts (brands, categories, dayparts, impressions, and spend) to warehouse tables. Even complex multi-join queries are supported. Human-validated example queries calibrate the system on the question patterns that matter most to agency planners and analysts.
  • Cortex Search: Operates across EDO’s curated methodology, terminology, and domain knowledge — fully within Snowflake, replacing what would otherwise require an external vector database. Every answer includes evidence attribution with relevance scoring, and content ingestion is admin-controlled to ensure quality and compliance.
  • Cortex Agents: Orchestrates Cortex Analyst and Cortex Search to handle complex queries that require both data retrieval and domain context — with multi-turn conversation memory, streaming responses, automatic routing between SQL generation and knowledge retrieval, and suggested follow-up queries based on initial results.
  • Continuous Quality Evaluation: Every Cortex Analyst query returns a confidence score that EDO monitors weekly to catch accuracy regressions before customers see them. Snowflake’s engineering team has proactively analyzed production Cortex Agents traffic to surface optimization recommendations for EDO’s semantic view — identifying failure modes that were invisible from query results alone. Snowflake’s Verified Query Repository (VQR) framework reruns queries after every semantic view change, creating a feedback loop that improves accuracy over time.

“The hard problem with conversational AI on enterprise data has never been the model — it’s been the foundation. Generic LLMs will confidently hallucinate against a complex data warehouse, and bolted-on copilots break when queries get specific or when the underlying data evolves,” said Joshua Lee, EDO’s Chief Technical Officer and Head of Product. “With Snowflake Cortex AI, we were able to ground AI in the same governed data layer our business relies on. Rather than focusing on building a chatbot, we built the architecture that makes TV ad intelligence accessible at the speed our clients actually need.”

The Intelligence Layer Modern Marketers Have Been Waiting For

For too long, access to TV intelligence relied on faulty surveys, dashboard experts, SQL queries, and email queues. Actionable insights were bottlenecked at the moment modern marketers need to move faster in an increasingly Convergent TV landscape.

ChatEDO on Snowflake Cortex AI changes that — putting EDO’s decade+ of investment-grade Convergent TV intel in the hands of any brand, agency, or network team needing an instant answer.

ChatEDO: Just Getting Started

As Snowflake’s Cortex AI capabilities evolve, EDO will continue to deepen the integration — expanding ChatEDO’s reach across agency, brand, and network customers and extending the agentic stack to cover more of EDO’s data universe. This is what it looks like when the industry’s most complete Convergent TV outcomes dataset meets Snowflake’s enterprise agentic AI stack in enterprise data — and both teams are just getting started.

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

1...456...4,471Page 5 of 4,471

About Us

MarTech Series is a leading publishing platform that provides daily updates on marketing technology news, in-depth interviews with industry leaders (such as CMOs and product heads), and expert-led insights on topics like AI/ML, analytics, and marketing automation. As part of the iTech Series network, it acts as a "Brand to Demand" partner.

Quick Links

Visit our Other Sites

Follow Us

Interested in our Customized Editorial Services? Please fill your details and we'll get in touch with you!

FILL YOUR DETAILS
Brought to you byiTechSeries LogoCopyright © 2026 MarTech Series. All Rights Reserved.Privacy Policy
To repurpose or use any of the content or material on this and our sister sites, explicit written permission needs to be sought.