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LiveRamp Partners With Scowtt to Unlock AI-powered Optimization Using Predictive First-party Data Signals

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LiveRamp Partners With Scowtt to Unlock AI-powered Optimization Using Predictive First-party Data Signals

LiveRamp announced a partnership with Scowtt, the AI-powered advertising optimization platform, to integrate Scowtt’s predictive AI models into LiveRamp’s data collaboration platform. As the first such partnership of its kind, LiveRamp and Scowtt will deliver unmatched value-based performance optimization to major platforms and programmatic destinations, seamlessly driving superior outcomes for every marketer.

“Scowtt’s mission to use AI to help advertisers unlock the potential of their CRM data aligns perfectly with LiveRamp’s focus on using data collaboration to supercharge the benefits of data,” said Eduardo Indacochea, CEO and Founder of Scowtt. “LiveRamp is the first to combine the power of data collaboration with Scowtt’s CRM-driven prediction and proprietary conversion value models. This creates a new way to deliver better optimization for marketers, where clients are seeing 40%+ improvement in ROAS by leveraging data in a way that was never possible before.”

Marketing Technology News: MarTech Interview with Omri Shtayer, Vice President of Data Products and DaaS at Similarweb

Scowtt’s models leverage customers’ first-party CRM data to create predictive, real-time signals that dramatically improve advertising performance — without requiring any organizational change or new platform adoption. Scowtt’s models will be available in the LiveRamp platform, enabling customers to seamlessly activate predictive optimization scores with their audiences. LiveRamp customers, including brands with limited CRM data, will also be able to leverage third-party data on targeting and intent to further enhance the performance of the Scowtt integration.

LiveRamp’s deterministic identity helps its customers to connect individual consumer data across touchpoints, powering better marketing and more relevant experiences. Marketers can now simultaneously use these people-based insights in conjunction with Scowtt’s predictive optimization, yielding even better results while upholding privacy protections. Scowtt’s integration with LiveRamp will power a unified conversion value model, which can then be used to enable continuous dynamic optimization for marketers.

“LiveRamp is committed to helping our customers harness the cutting edge of AI tools, both within our platform, as well as through our extensive data collaboration network of integrations and partners,” said Dave Eisenberg, Chief Strategy Officer at LiveRamp. “LiveRamp customers can be assured they’re maximizing media performance via Scowtt’s proven AI models, built by experts that know the major platforms inside and out.”

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TQA Announces New Agentic-Focused Identity, Expanding Technology Partnerships With Microsoft and ServiceNow to Break the Enterprise AI Gridlock

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TQA Announces New Agentic-Focused Identity, Expanding Technology Partnerships With Microsoft and ServiceNow to Break the Enterprise AI Gridlock

With 95% of AI projects failing to reach production*, TQA launches a new identity and multi-platform strategy to deliver solutions that achieve real-world results.

TQA, known for its leadership in intelligent automation, announced a comprehensive rebrand and strategic expansion into Agentic AI. TQA is positioning itself to support enterprises’ struggle to move AI from experimentation to scalable business impact.

Meeting market demand

It comes in direct response to client demand. While enterprise investment in Generative AI has surged, recent research suggests that results are lagging, with up to 95% of AI projects failing to improve financial performance.

“We are seeing a massive production gap. Everyone is curious and piloting agentic solutions, but very few are breaking through to active production”, said Tom Abbott, Founder and Chief Revenue Officer at TQA. “Enterprises are struggling because they are trying to “bolt on” AI to processes. We are here to solve this problem; we help clients to reinvent their processes and build AI solutions to create a true agent-enabled workforce.”

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Multi-platform partnerships

To meet the complex, multi-platform needs of global enterprises, TQA is formally introducing technology practices for Microsoft and ServiceNow, complementing its long-standing automation and UiPath expertise.

  • Microsoft: TQA integrates Copilot, Power Platform, and Azure AI at the core of the enterprise, ensuring solutions are secure, scalable, and outcome-led.
  • ServiceNow: TQA is a consulting and implementation partner specializing in Workflow Data Fabric (WDF) and AI agents, converting legacy workflows into modern, outcome-led transformations.

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Strong foundations with UiPath

While expanding its ecosystem, TQA remains a premier UiPath partner in Europe and North America. It has held the highest possible accreditations as a UiPath Diamond Partner for over six years; is among the first to be recognized for its technical skills in agentic AI as a UiPath Fast Track Partner; and is a two-time award winner for industry-specific UiPath solutions.

TQA continues to invest in and leverage UiPath to deliver robust, enterprise-grade agentic and automation solutions. This “best-of-breed” approach allows TQA to connect the dots between legacy systems, cloud infrastructure, and new AI platforms.

Better, Faster, Proven

TQA enters this new chapter with a track record that separates it from emerging AI startups. “Our promise is simple”, continued Abbott. “It’s to deliver AI-powered agents that actually work – in the real world, for real business challenges, building on our heritage and expertise in automation.”

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GIBO Announces Breakthrough in Proprietary AIGC Engine, Entering Next-Generation Intelligent Content Infrastructure Phase

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GIBO Announces Breakthrough in Proprietary AIGC Engine, Entering Next-Generation Intelligent Content Infrastructure Phase

GIBO Holdings Ltd. announced a significant technological breakthrough in its proprietary AIGC (AI-Generated Content) multimodal engine, marking the transition into a next-generation intelligent content production architecture. The upgrade delivers structural improvements in generation efficiency, narrative consistency, large-scale batch production, and compute optimization, reinforcing GIBO’s position as a scalable AI content infrastructure provider.

This advancement represents more than a feature enhancement—it reflects a foundational redesign of the engine’s computational framework and algorithm orchestration layer, transforming the AIGC system from a creative tool into an industrial-grade production engine.

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Core Breakthrough: From Content Generation to Controlled Intelligence

The latest upgrade introduces three major technical innovations:

1. Unified Multimodal Computational Architecture

GIBO has restructured its orchestration logic across video, image, text, and audio generation modules, enabling a unified inference framework. This integration significantly enhances cross-modal coherence—improving logical alignment between scripts, characters, dialogue, and visual scenes while reducing generation drift.

2. Intelligent Compute Scheduling and Inference Optimization

Through proprietary inference compression algorithms and dynamic compute allocation models, the upgraded engine increases throughput under the same hardware conditions. In large-scale content production scenarios, this optimization substantially improves efficiency while lowering per-unit generation costs.

3. Structured Narrative Control Layer

A newly introduced structural narrative control system enables adjustable parameters such as pacing, emotional curve, tension density, and scene sequencing. This capability is particularly valuable for short dramas, advertising materials, and high-frequency performance-driven content formats.

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From Creative Tool to Industrial-Scale Production Engine

As the global short-form video and short-drama market shifts toward high-volume, rapid-iteration production cycles, traditional workflows face scalability limitations. GIBO’s enhanced AIGC engine is engineered to support industrial-level production requirements, including:

  • Simultaneous generation of multi-version content for performance testing
  • Automated structural optimization tailored to platform-specific distribution
  • Parallelized, high-density content output
  • Rapid multilingual localization and market adaptation

This transition establishes a more predictable, scalable, and controllable content creation infrastructure for platform partners and enterprise clients.

Strengthening Platform-Level Infrastructure

The upgraded AIGC engine will be fully integrated into GIBO Create and aligned with the broader GIBO Click ecosystem, creating a closed-loop system connecting content generation, analytics, and monetization frameworks.

By reinforcing the technological backbone of its content engine, GIBO continues building a durable AI-driven production infrastructure where creative output, performance metrics, and economic value are intelligently interconnected.

Long-Term R&D Commitment

GIBO stated that it will continue investing in multimodal model optimization, inference efficiency enhancement, and domain-specific AI model development to further improve controllability, precision, and production scalability.

This breakthrough not only elevates current product capabilities but also lays the foundation for large-scale deployment across short dramas, digital advertising, e-commerce content, and cross-media storytelling applications.

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Funnel processes the world’s first rent payment inside ChatGPT

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Funnel processes the world’s first rent payment inside ChatGPT

Funnel Logo

BH Management and Funnel bring agentic AI to property management workflows 

“Technical innovation is core to delivering a simple, convenient experience for renters,” said Joanna Zabriskie, CEO of BH Management. “The Mint Experience, our branded approach to the resident experience, is about removing friction from everyday moments and making interactions with BH feel intuitive, modern, and human-first. Paying rent inside ChatGPT is a perfect example of that philosophy in action. Instead of asking residents to learn a new tool, we are meeting them where they are and making one of the most routine parts of renting faster, simpler, and more aligned with the tools and technology people use in their everyday lives.”

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

Why this first rent payment matters:

  • An industry first. Funnel processed the first rent payment ever inside ChatGPT.
  • Proof of concept, not a rollout. A milestone moment, not broad availability.
  • No new systems required. Completed using existing Funnel workflows and security.
  • Behavior shift validated. Rent paid where renters already spend time.
  • Foundation set. Rent is the first task, establishing a controlled path toward future agentic resident services over time.

ChatGPT is a daily utility for millions of people, and this milestone collaboration offers an early glimpse into how conversational AI will reshape renter interactions over time. Through Funnel’s Resident Portal product (Nestio), renters can securely connect their account inside ChatGPT and complete essential actions without leaving the conversation. Rent payments are the first capability, offering a preview of how Funnel will continue expanding resident functionality inside conversational AI environments.

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“AI assistants have become the default operating system many consumers rely on every day, and renters increasingly want to stay in those environments to manage their homes,” said Tyler Christiansen, CEO of Funnel. “By partnering with Funnel to make the first rent payment inside ChatGPT, BH Management has shown how property management companies can meet renters where they are while maintaining the security, controls, and workflows operators need to run a healthy business.”

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Krikey AI Achieves SOC2 Compliance, Strengthening Security Assurance for Its Professional AI Animation Generator

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Krikey AI Achieves SOC2 Compliance, Strengthening Security Assurance for Its Professional AI Animation Generator

Krikey AI, a premier provider of explainer video software and generative AI media, announced it has successfully completed its SOC2 Type II certification, officially validating the platform as the most secure 3D animation generator for enterprise, education, and social impact sectors. Krikey AI has also achieved the Amazon Web Services (AWS) Nonprofit and Education Competency Badges. This milestone ensures that organizations can now produce high-fidelity marketing videos and animated content within a safe, audited, and highly reliable cloud infrastructure.

These technical achievements distinguish Krikey AI as a top-tier AI video maker that has passed rigorous audits for security and operational excellence. By meeting the strict criteria for SOC2 compliance, Krikey AI provides institutional-grade data protection, which is a critical requirement for schools and nonprofits looking to adopt 3D character creator tools for their digital strategies. This validation ensures that every project, from classroom lessons to global awareness campaigns, is built on a foundation of secure AI animation that meets modern privacy standards.

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

“Our mission is to empower creators with an AI animation generator that is as trustworthy as it is powerful,” said Jhanvi Shriram, CEO and Co-founder of Krikey AI. “Achieving these AWS Competencies and SOC2 certification allows our users to focus entirely on storytelling, knowing their data is protected by the highest industry benchmarks.” By prioritizing security and reliability, Krikey AI continues to lead the market in professional 3D animation tools for high-impact communication.

Educators and nonprofit leaders now have a secure, streamlined way to amplify their message through high-fidelity visual narratives. The platform’s advanced AI animation features allow users to instantly localize videos with one-click translation and design unique animation videos that resonate with diverse audiences. This all-in-one explainer video software enables lean teams to produce studio-quality content at scale. To experience the power of a professional 3D character creator and start your first project, visit the Krikey AI video editor today.

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Krikey AI is a leading generative AI company that empowers creators to build 3D characters and animated videos in minutes. Founded by Jhanvi and Ketaki Shriram, the platform utilizes advanced AI animation technology to remove technical barriers for users worldwide.

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Workshop launches Cici, an agentic AI assistant built for modern internal communications

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Workshop launches Cici, an agentic AI assistant built for modern internal communications
Workshop launches Cici, an agentic AI assistant built for modern internal communications

A smarter way to plan, write, and improve employee communications, right inside Workshop

Workshop, the intelligent and delightful internal communications platform, announced the launch of Cici, a new agentic AI assistant designed specifically for internal communicators.

Cici helps comms teams plan, write, design, and send internal communications faster, with more confidence and far less guesswork. Unlike general-purpose AI tools or agents, Cici is fluent in internal communications from day one.

“Internal communications is high-impact work, and teams need tools that help them operate at that level,” said Rick Knudtson, CEO and co-founder of Workshop. “Cici helps teams move quickly and stay aligned, without losing the culture and priorities that make internal comms meaningful.”

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

AI that understands internal comms context

While many AI tools require extensive setup, prompt engineering, and brand training, Cici comes preloaded with Workshop’s playbooks, templates, benchmarks, tone rules, and years of practical guidance from thousands of internal communicators.

That means instead of teaching an AI how internal comms works, teams can start getting useful help right away. Cici can suggest subject lines, rewrite content to be more skimmable, help plan multi-step campaigns, and answer questions like what good engagement looks like for a specific industry or audience.

Cici is designed to be genuinely helpful to communicators on deadline. It offers clear recommendations, adaptable drafts, and insights teams can apply right away, without long explanations or unnecessary complexity.

Built into Workshop, not bolted on

Cici is available today as a public preview at useworkshop.com/cici, giving communicators a lightweight way to explore how the assistant works and the type of guidance it provides.

Inside Workshop, Cici is already connected to email and campaign performance data. Over time, it will gain deeper context from each organization, including brand guidelines, past communications, audience lists, and engagement metrics. That added context allows Cici to create more tailored drafts, recommend smarter send times, and surface insights based on what actually works for a specific company.

The long-term vision is for Cici to evolve from an assistant into a true collaborator, helping teams analyze results, identify gaps, and build better communications across channels.

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Designed to support people, not replace them

Cici isn’t positioned as a replacement for internal communicators. It’s built to support their judgment, taste, and strategy.

“Communicating well inside a company takes real care,” said Mikey Chaplin, Manager of Product & Design. “That’s why we designed Cici to handle the busywork and first drafts, so teams have more space to focus on the creative, thoughtful work that helps people feel informed and connected.”

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GoDaddy ANS Integrates with Salesforce’s MuleSoft Agent Fabric

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GoDaddy ANS Integrates with Salesforce's MuleSoft Agent Fabric

The solution helps organizations discover AI agents and confirm identity to reduce the risk of spoofed tools

GoDaddy announced an integration with Salesforce’s MuleSoft Agent Fabric that helps companies of all sizes discover AI agents and verify their identity. This helps prevent rogue agents from interacting with business systems and sensitive data.

As organizations deploy more AI agents across different platforms and teams, many lack a consistent way to confirm where an agent came from, who published it, and most importantly, whether it is trusted by the business. Without that verification, businesses often face a difficult choice: slow agentic AI adoption to manage risk or move quickly without sufficient safeguards.

GoDaddy’s Agent Name Service (ANS) registers AI agents and publishes them to the public Domain Name System (DNS), the global directory that makes the internet work.

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ANS extends the use of DNS to support AI agent registration. Once an agent is registered, it becomes discoverable from any network on earth within seconds, with a verified identity linked to the owner’s domain name. Other agents and systems can look up that identity using standard DNS queries, with no special tools or access to ANS required.

How GoDaddy ANS Integrates with MuleSoft Agent Fabric

MuleSoft Agent Fabric intelligently discovers, orchestrates and governs any AI agent, regardless of where it’s built, and now MuleSoft customers can configure GoDaddy ANS as a trusted source for agent discovery. MuleSoft’s Agent Scanners pull verified agents from ANS into MuleSoft Agent Registry, where they appear for review and approval before accessing enterprise systems. From there, teams can:

  • See each agent’s verification status and publisher details
  • Click through to cryptographic proof of identity
  • Set policies that determine which APIs and data agents can access

Read details about the integration on the MuleSoft blog.

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Raising the Bar for Agent Security

“The agentic ecosystem on the open internet is exploding, so trust and identity need to keep up,” said Travis Muhlestein, chief technology officer of product and AI at GoDaddy. “This integration helps organizations verify the identity of AI agents so they can scale adoption with stronger confidence and accountability.”

“Open ecosystems have always been critical for enterprise success, and we are committed to building one where customers can safely discover and govern AI agents, regardless of where they originated,” said Andrew Comstock, SVP & GM, MuleSoft at Salesforce. “By integrating GoDaddy’s ANS with MuleSoft Agent Fabric, we’re providing the ‘digital passport’ customers need to manage agent sprawl and help ensure every agent in their catalog is authenticated and trustworthy.”

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Mersel AI Launches GEO Execution Platform Using Agent-as-a-Service Model to Improve Brand Citations in AI Answers

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VisiGEO Establishes Industry Framework for Brand Visibility in the Age of AI-Driven Search

Mersel logo

Not another dashboard. Mersel AI applies an agent-as-a-service model to implement GEO end-to-end, improving citation and recommendation rates.

Mersel AI, Inc. announced the launch of its Generative Engine Optimization (GEO) execution platform, designed to help brands improve how they appear in AI-generated answers and recommendations across major AI assistants.

As AI search tools such as ChatGPT, Perplexity, Gemini, and Claude become a common starting point for product research, category discovery, and vendor comparisons, many marketing and growth teams are adopting AI visibility tools that measure brand mentions, prompt level position, and share of voice. Mersel AI said that measurement is useful, but it rarely changes outcomes on its own because AI citations depend on whether a brand’s information can be interpreted, verified, and summarized reliably by large language models.

Mersel AI is positioning its approach around an agent-as-a-service model, reflecting a broader shift from licensing tools to buying outcomes. Instead of asking teams to add another interface and backlog of tasks, the platform is built to ship implementation and iterate continuously based on what AI systems actually cite and recommend.

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“Many teams can measure where they are missing in AI answers, but they still need an execution layer that ships the fixes,” said Joseph Wu, Founder of Mersel AI. “AI systems cite sources that are easier to parse, consistent across pages, and supported by credibility signals. Our goal is to make brands eligible for citation through end-to-end GEO execution.”

The GEO execution platform operationalizes four areas that influence citation and recommendation behavior:

– Machine-readable layer on top of existing websites
Mersel AI implements structured data, schema markup, and semantic signals to improve how AI systems interpret brand and product information without requiring a website rebuild or any code changes. This layer is designed to reduce ambiguity in core facts such as product attributes, pricing context, policies, and positioning.

– Content structured for AI summarization and citation
The platform supports recurring publication of prompt-aligned content built around the questions people ask AI assistants, including category queries, comparisons, and real use cases. Content is structured for summarization and citation so AI systems can extract the key points with less friction.

– Third-party presence and trust signals
Mersel AI strengthens off-site brand presence across relevant review sites, social media platforms, and editorial sources by leveraging internal agentic interactive tools. These signals can influence how AI systems validate claims and form recommendations, especially in categories where products and messaging look similar.

– Cross-platform AI visibility measurement tied to iteration
The platform tracks visibility across multiple AI platforms and reports on brand-mention rate, prompt-level position, and share of voice versus competitors. Mersel AI uses these signals to guide ongoing updates and refresh cycles, connecting measurement directly to shipped changes.

Mersel AI said the platform is designed for teams that want to operationalize GEO without building an internal function from scratch, including organizations that need consistent coverage across AI assistants and frequent iteration as models and user prompts evolve.

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Meet The People Launches MTP Intelligence, A Proprietary AI-Enabled Platform Unifying Creative, Media and Commerce

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Meet The People Launches MTP Intelligence, A Proprietary AI-Enabled Platform Unifying Creative, Media and Commerce

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North American agency group unveils integrated technology platform powered by RADaR Analytics, designed to deliver clarity and efficiency across brands’ entire marketing lifecycle

KNOREX Launches Agentic AI-Ready Ads API to Power Cross-Channel Advertising Automation

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Bluente Launches Open-Source MCP Server, Bringing Format-Preserving Document Translation Directly Into AI Workflows

Initial deployment with three strategic partners across the U.S. and Southeast Asia

Positions KNOREX as a critical infrastructure layer for AI-native advertising automation in the $740B-plus global digital advertising market

KNOREX Ltd. (“KNOREX” or the “Company”), a leading provider of AI-driven programmatic online advertising products and solutions, announced the launch of its agentic AI-ready KNOREX Ads API, designed to serve as a foundational infrastructure layer for AI-native, cross-channel advertising workflows.

Global digital advertising spend is projected to exceed $740 billion in 2026, according to industry forecasts, as brands increasingly shift budgets toward performance-driven and AI-enabled channels. As enterprises adopt autonomous, agent-based systems to manage complex marketing operations, the need for scalable infrastructure that can unify execution across multiple advertising platforms is accelerating.

KNOREX has already deployed the Ads API with three strategic partners, including two in the United States and one in Southeast Asia, marking the initial commercial rollout of the technology. The Company plans to broaden adoption as demand for AI-driven advertising automation expands globally.

The launch represents a strategic expansion of KNOREX’s platform capabilities as the advertising industry transitions toward AI-native automation. By embedding open standards compatibility and unified cross-channel connectivity, the Company believes the KNOREX Ads API strengthens its long-term competitive positioning while expanding platform scalability and long-term monetization potential within its enterprise ecosystem.

The KNOREX Ads API is compatible with the Amazon Ads MCP Server, enabling customers to build AI agents that connect via natural-language prompts. This allows AI agents to access KNOREX Ads functionality without requiring custom integrations, reducing point-to-point connections and engineering maintenance while providing streamlined access to the capabilities of KNOREX XPO℠.

Marketing Technology News: MarTech Interview with Omri Shtayer, Vice President of Data Products and DaaS at Similarweb

The API also supports the Advertising Common Protocol (AdCP), an open standard protocol designed to unify advertising platforms through a single interface, enabling natural language-driven workflows and automated execution across AI-native advertising ecosystems.

The KNOREX Ads API enables AI agents to automate workflows across programmatic advertising, Meta Ads, Google Ads, LinkedIn Ads, and TikTok Ads. AI agents can programmatically create and manage campaigns, retrieve and analyze cross-channel performance data, dynamically adjust budgets and bidding strategies, execute cross-channel optimization workflows, and generate reporting outputs.

By centralizing access to multiple advertising channels through a single standardized API, KNOREX believes the Ads API can serve as a foundation layer for AI-driven advertising operations, enabling developers, agencies, and enterprises to build scalable agentic systems more efficiently.

“Agentic AI represents the next structural evolution in digital advertising,” said Abhishek Kumar, Vice President of Product and Engineering of KNOREX. “As marketers adopt autonomous systems to manage increasingly complex cross-channel strategies, scalable infrastructure becomes mission-critical. By launching an open, AI-ready Ads API, we are positioning KNOREX to power the next phase of advertising automation while expanding interoperability across the KNOREX XPO platform.”

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Lumen Boosts AI Network Transformation with Blue Planet’s AI Studio and Agents

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Netlify Turns AI Prompts Into Production-Ready Software

Ciena

  • Blue Planet AI agents to help automate Lumen’s network operations

  • Initial use cases include device model generation and digital network twin applications

  • AI agents support Lumen’s success in building an AI-ready network

Blue Planet, a division of Ciena , announced that Lumen Technologies is adopting the company’s AI agents across its network operations to help enhance efficiency and deliver exceptional customer experiences. As part of its strategy to build the trusted network for AI, Lumen will use Blue Planet AI Studio, an operations support system (OSS)-native platform, to build, manage, and run AI agents across multiple network domains to drive faster, context-aware outcomes.

Marketing Technology News: MarTech Interview with Omri Shtayer, Vice President of Data Products and DaaS at Similarweb

Blue Planet AI agents will help automate Lumen’s network operations and support the company’s success in building an AI-ready network.

“Across our enterprise operations, we’re using AI to digitize and automate core processes, eliminate legacy complexity, boost agility and speed, and free our teams to focus on higher‑value innovation that improves the customer experience,” said Kye Prigg, Chief Commercial Operations Officer, Lumen Technologies. “Blue Planet AI Studio is helping Lumen introduce AI-driven capabilities into our OSS environment across real-world workflows, enabling the creation of AI agents to help streamline operational tasks and reduce costs.”

Using Blue Planet AI Studio, Lumen expects to drive outcomes such as significantly reducing the time needed to model hundreds of devices, automate data discovery and migration, streamline resource reconciliation across their network inventory and other use cases related to network management. Lumen also plans to leverage agentic AI in its digital network twin operations model to help provide proactive, real-time insights across its network.

“Blue Planet AI Studio is purpose-built to support the automation of complex workflows, unlock deeper operational insights, and accelerate the journey toward fully autonomous networks,” said Joe Cumello, Senior Vice President and General Manager, Blue Planet. “Our close collaboration with the Lumen team is helping drive the modernization of its network while enabling the adoption of advanced AI agents to establish a robust AI-ready network foundation.”

Blue Planet AI Studio provides a low-code, OSS-native environment that enables network operations teams to build and operationalize AI agents directly within OSS workflows. By combining AI agents with contextual OSS data, the platform supports more intelligent, closed-loop operational workflows as Lumen continues its journey toward greater network autonomy. AI Studio also includes Blue Planet’s pre-built, OSS-focused AI agents designed to address common network operations use cases, helping teams accelerate adoption while maintaining operational control.

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SS8 Patent Published for User Equipment Identification for 5G Networks

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SS8 Patent Published for User Equipment Identification for 5G Networks

Enabling Critical Investigative Capabilities to Strengthen Public Safety

SS8 Networks (“SS8”), a global leader in the extraction, fusion and analytics of investigative data and monitoring center platforms, announced the publication of their patent for the immediate Identity Resolution of a User Equipment (UE) Connectable to a 5G Mobile Networks.

“This patent demonstrates that it’s possible to uphold advanced privacy standards while still enabling critical investigative capabilities that protect public safety.”

Cell Site Simulators (CSS) are widely used by law enforcement to locate fugitives, find missing persons, and investigate serious and organized crimes. A CSS is a portable device that replicates key functions of a mobile network base station, prompting nearby devices to connect and, in doing so, identify themselves.

Marketing Technology News: MarTech Interview with Omri Shtayer, Vice President of Data Products and DaaS at Similarweb

In standalone 5G (5GSA) networks, new security procedures prevent device identifiers from being transmitted over the air. Instead, device information is combined with home network data and concealed using encryption, limiting the effectiveness of traditional CSS use cases. The CSS equipment forces the devices to downgrade to a 4G LTE connection, bypassing the security procedures introduced by 5GSA networks. This also impacts cellular service around the CSS equipment and makes it potentially visible to the criminals.

Working in collaboration with law enforcement, telecom operators, and leading CSS vendors, SS8 inventors Dr. Cemal Dikmen and Kevin McTiernan developed a patented approach that immediately restores lawful identity resolution in 5GSA environments. The SS8 solution identifies devices in a fraction of a second and presents the information to authorized investigators without requiring devices to be forced back to 4G.

“The evolution to 5G reshaped how identity is protected on mobile networks, creating new challenges for lawful investigations worldwide,” said Dr. Keith Bhatia, CEO at SS8 Networks. “This patent is a major step forward for the industry, demonstrating that it’s possible to uphold advanced privacy standards while still enabling critical investigative capabilities that protect public safety.”

The patented solution is:

  • More effective than current standard methodologies
  • Capable of near real-time device identification
  • More transparent than approaches that downgrade devices to 4G
  • Available for global deployment

Built on the SS8 mediation platform used worldwide for lawful intercept compliance, the solution balances the operational needs of CSS with the security, oversight, and regulatory safeguards required by telecom operators.

“Our goal was to solve the 5G identity challenge without compromising network architecture or user privacy safeguards,” said Dr. Cemal Dikmen, Chief Technology and Security Officer at SS8 Networks. “By leveraging the existing mediation framework trusted by operators worldwide, we created a method that is both operationally effective for investigators and aligned with how modern 5G networks are designed to function.”

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8×8 Smart Assist Helps Contact Centers Resolve Faster, Deliver More Consistent CX, and Increase Agent Satisfaction

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8x8 Smart Assist Helps Contact Centers Resolve Faster, Deliver More Consistent CX, and Increase Agent Satisfaction

8x8, Inc. Logo

Real Time AI Guidance, Automated Summaries, and In-Workflow Actions Inside 8×8 Agent Workspace Reduce Ramp Agent Time and After-Call Work

Contact centers using real time AI-guided workflows are resolving issues faster, reducing after-call work, and delivering more consistent customer experiences. To help organizations achieve these outcomes at scale, 8×8, Inc. , a leading global business communications platform provider, has launched 8×8 Smart Assist, an AI-powered solution that brings real-time guidance, dynamic workflows, and intelligent automation directly into the agent’s contact center experience, resulting in faster resolutions, less after-call work and fewer errors.

Automation that reduces agent effort

Embedded directly in the 8×8 Agent Workspace, 8×8 Smart Assist eliminates workflow friction and empowers every agent to perform at their best from day one.

“8×8 Smart Assist is built to solve real problems, not just to check the ‘AI box’,” said Hunter Middleton, Chief Product Officer at 8×8, Inc. “We’re embedding AI where it actually makes a difference: directly into the agent workflow, eliminating the need for tab switching and ensuring full context throughout the customer interaction. With 8×8 Smart Assist, agents can onboard faster, reduce average handling times, increase first contact resolution, and drive better outcomes. Agents already have a tough job; the guidance provided by 8×8 Smart Assist supports agent confidence and increases job satisfaction.”

Marketing Technology News: MarTech Interview with Omri Shtayer, Vice President of Data Products and DaaS at Similarweb

Helping customers get answers faster

Customer support organizations are being asked to do more with less – shorten time to resolution, improve consistency, and protect quality as interactions become more complex. A Metrigy report found that 62.7% of companies credit AI assistance with improving agent performance. 8×8 Smart Assist helps meet that demand by providing real-time guidance, sentiment detection, and intelligent post-call summarizations – enabling teams to reduce errors, speed up resolution, and scale coaching more efficiently.

“When companies embed AI capabilities directly into the agent workflow, we see improvements across the board – in improved agent efficiency, elevated CSAT, more upsell revenue, and even lower turnover rates,” said Robin Gareiss, Chief Executive Officer and Principal Analyst at Metrigy. “By delivering real-time guidance, automated summaries, and next-best actions within the 8×8 Agent Workspace, agents resolve problems more quickly, opening the door for additional actions. For example, 63.8% of companies are applying the time saved toward acquiring more customer insights, and 43.4% are adding AI-guided upsell pitches during calls.”

Outcomes Enabled by 8×8 Smart Assist

  • Faster resolutions and higher first-contact resolution through real-time guidance and next-best actions.
  • Shorter agent ramp time with embedded scripts and contextual workflows.
  • Lower after-call work and improved accuracy with AI-generated summaries.
  • More consistent CX across channels with CRM-integrated workflows and preserved context.
  • Increased agent accuracy, confidence, and job satisfaction.

Customer-proven results

In early deployments, 8×8 Smart Assist delivered a 23% reduction in agent onboarding time, helping teams ramp faster and achieve measurable improvements – from quicker resolutions to higher CSAT – with less effort and greater confidence.

8×8 Smart Assist marks a significant evolution in 8×8’s contact center product strategy, bringing generative AI directly into the agent workspace to elevate customer experience and accelerate time to resolution. As part of the 8×8 Platform for CX, the solution helps organizations connect customers and teams globally by uniting contact center, unified communications, and communication APIs, empowering CX and IT leaders with AI-driven insights to make smarter decisions and drive lasting business impact.

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AcquireUp Appoints Jim Parkinson as Chief Technology and Information Officer

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AcquireUp Appoints Jim Parkinson as Chief Technology and Information Officer

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Veteran technology executive to advance data-driven seminar marketing platform, powering smarter insights and measurable growth for financial advisors

PAN Releases New Research Revealing Widespread Citation Errors in AI Answers, Highlighting a New Credibility Risk for B2B Tech Brands

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Only 69% of links generated by ChatGPT were real and correctly attributed, raising new concerns about how B2B buyers validate brands in AI-mediated discovery

PAN, a global, integrated, data-driven marketing and PR agency for B2B tech and healthcare brands, released new original research showing that a significant share of B2B citations surfaced by ChatGPT are inaccurate, misattributed, or entirely fabricated, introducing a new credibility risk for brands as buyers increasingly rely on AI-generated summaries to evaluate vendors and solutions.

PAN analyzed more than 11,000 links generated by ChatGPT across executive-level research prompts, originated as a part of its C-Suite Signals research program, designed to reflect how senior B2B leaders investigate their market and technology solutions.

Marketing Technology News: MarTech Interview with Omri Shtayer, Vice President of Data Products and DaaS at Similarweb

Each citation was reviewed and classified as:

  • real and correctly attributed,
  • misattributed, or
  • fully hallucinated.

In total, only 69% of links surfaced by ChatGPT were both real and correctly attributed.

The remaining 31% of citations either pointed to incorrect sources/domains (19%) or referenced sources that did not exist at all (12%).

The findings show that AI systems still frequently imply legitimacy through citations that appear authoritative on the surface, even when the underlying sources cannot be verified. As a result, perceived credibility can be created — or undermined — without brands having any direct visibility into how those references are formed.

For brands, this represents a new and rapidly emerging trust gap.

“For our clients, credibility is no longer something you build once and protect later. It’s something you have to earn, and re-earn, every time a buyer or an AI system looks you up,” said Darlene Doyle, Chief Client Officer at PAN. “When nearly a third of AI-generated citations can be inaccurate or fabricated, clients need partners who are in it with them, helping make their proof easier to find. At PAN, we help brands close that credibility gap by aligning PR, content, web, and executive visibility so what buyers see, what AI summarizes, and what a comPANy can actually deliver all match.”

Buyers are increasingly using generative AI as an early research layer to understand markets, compare vendors, and validate claims before visiting comPANy websites, speaking with sales teams, or engaging analysts. When AI-generated answers surface inaccurate or fabricated citations, brands can be unintentionally associated with unreliable or misleading sources (or omitted from credible ones) in ways that materially influence shortlists and perception.

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Orange Logic Named A “Leader” in DAM Analyst Report

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Orange Logic Named A “Leader” in DAM Analyst Report

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Digital Asset Management Systems, Q1 2026 evaluation recognizes Orange Logic as a Leader for its enterprise DAM strategy, capabilities, and customer feedback

Orange Logic, the enterprise digital asset management platform for automating creative workflows, announced it has been named a Leader in The Forrester Wave™: Digital Asset Management Systems, Q1 2026 report by Forrester Vice President and Principal Analyst Phyllis Davidson. The report evaluates digital asset management (DAM) providers based on 22 criteria across their current offering and strategy, along with customer feedback.

Orange Logic was the only evaluated vendor to receive the highest possible score (5) in the Asset Performance/Content Intelligence criterion, which Orange Logic sees as reinforcement of the company’s ability to turn data into measurable impact by understanding not just content, but the context around it. To Orange Logic, this recognition also reflects its vision for the future of digital asset management.

Marketing Technology News: MarTech Interview with Omri Shtayer, Vice President of Data Products and DaaS at Similarweb

The company continues extending beyond asset storage into enterprise content orchestration, automation, intelligence, and AI-powered content operations. Forrester’s report states, “The company delivers against a robust roadmap organized around four strategic initiatives, including ‘unify teams’ and ‘empower creativity.’”

According to the report, “Orange Logic is an excellent option for organizations that want to implement a comprehensive DAM system with high-touch customer experience.”

Orange Logic’s built-in digital rights and governance capabilities, which help enterprises protect brand integrity, manage risk, and enforce compliance across distributed global content ecosystems, are also highlighted.

“To us, this recognition shows our customer-driven vision – that DAM must evolve into the orchestration and intelligence layer for enterprise content operations,” said Brian McLaughlin, CEO of Orange Logic. “Our focus is helping global organizations automate and simplify complex workflows, applying governance and rights controls at scale, and turning content into measurable business value through intelligence and automation.”

The evaluation also recognizes Orange Logic with the highest possible scores in ten criteria, including asset onboarding and metadata management; immersive content; search; workflows, automation, and versioning; digital rights management; asset performance/content intelligence; vision; roadmap; adoption; and pricing flexibility and transparency.

Forrester’s evaluation reports that, “Customers reported widespread adoption of their Orange Logic DAM instance and cited the overall flexibility of the system as one of its highlights.”

“We’re relentless about delivering measurable value for our customers. That intensity is what sets us apart, and for us, it’s reflected in the results of this report,” McLaughlin added. “organizations need simplicity in an increasingly complex digital landscape. We believe the future of content operations depends on bringing context, automation, and AI together in a way that is powerful, secure, and built for enterprise scale.”

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CobbleStone Expands Agentic VISDOM AI Features Into Its Native Online Document Editor, Delivering Fully Integrated Contract Intelligence

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CobbleStone Expands Agentic VISDOM AI Features Into Its Native Online Document Editor, Delivering Fully Integrated Contract Intelligence

CobbleStone Software has embedded agentic VISDOM AI functionality directly into its native online document editor, delivering continuous, accuracy‑driven contract intelligence that replaces manual review workflows and streamlines drafting, redlining, and risk analysis across the entire contract lifecycle.

CobbleStone Software, a recognized leader in contract lifecycle management (CLM) and contract artificial intelligence, has announced the launch of agentic VISDOM AI features directly within the CobbleStone Contract Insight native online document editor. This enhancement brings CobbleStone’s established VISDOM capabilities for the MS Word environment directly into the platform’s browser‑based editor, allowing organizations to draft, redline, analyze, and finalize contracts without relying on external applications.

The enhanced online editor incorporates AI-powered summarization, risk detection, and automated document review tools that mirror the intelligent features previously made available through CobbleStone’s MS Word integration. Users can quickly generate key takeaways from lengthy agreements, identify potential risk language or inconsistencies, and perform comprehensive structural and completeness checks in seconds. These capabilities now operate continuously inside the web-based editor, decreasing the need for manual oversight and reducing dependency on switching interfaces.

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Building upon recent CobbleStone Contract Insight platform improvements, users can also collaborate in real time with co-authoring, tracked edits, inline comments, and AI-enhanced clause management, all within a centralized contract ecosystem.

By embedding VISDOM AI at the platform level, AI operates autonomously within the native editor – allowing organizations to gain consistent system-wide accuracy, proactive guidance, and portfolio-level insights without the need for complex user configuration. VISDOM AI agents analyze contract language, flag risks, review clauses, and support document integrity throughout the drafting and negotiation process.

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

“Embedding VISDOM AI directly into our native online document editor represents a transformational leap forward for contract management,” said Mark Nastasi, CEO & Founder of CobbleStone Software.

“Our users now benefit from agentic AI risk analysis, automated review, and clause intelligence without leaving the platform. VISDOM has evolved beyond an assistant — it’s the intelligence powering every step of the contracting process.”

JWX Launches Vertical Video Product To Help Publishers Increase Engagement and Time-on-site

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Pixazo API Now Supports Seedance 2.0 & GPT Image 2 — Bringing Next-Generation AI Video and Image Creation to Developers

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Swipeable, social-like experience helps publishers deepen relationships with mobile-first audiences

JWX, the technology company that empowers media businesses to connect their content with consumers across every platform, today announced the launch of Vertical Video, a simple way for publishers to create interactive, swipeable, social-like video experiences on their websites. The announcement comes as traditional search referrals decline and publishers must find new ways to drive deeper engagement and habitual return behavior.

JWX is an indispensable partner as we continue to uncover new opportunities for engaging our audience, and Vertical Video is a great addition to their product portfolio.”

— Kyle Whitfield, Vice President, Consumer Revenue at The Times-Picayune

The Vertical Video product helps publishers increase audience growth, engagement, and monetization on their owned-and-operated properties without rebuilding their tech stack. Today, it enables publishers that already produce vertical video, including content originally created for social platforms, to seamlessly repurpose that content into fully branded, natively monetized video experiences on their own sites. Publishers have full control over the look, feel, and branding, ensuring the experience aligns with their identity.

JWX will soon give publishers the ability to generate vertical video directly from existing video libraries, reinforcing a broader vision to help publishers do more with the content they already have.

Simple, low-lift implementation
The Vertical Video product is designed to plug directly into a publisher’s existing infrastructure, with a one-line JavaScript implementation that minimizes engineering effort and speeds time to value. This lightweight approach is a key differentiator for technical buyers, enabling teams to launch quickly without rebuilding workflows, modifying the ad stack, or undertaking lengthy integration cycles.

Marketing Technology News: MarTech Interview with Omri Shtayer, Vice President of Data Products and DaaS at Similarweb

Unlocking value from existing video libraries
For publishers with extensive horizontal video archives, JWX offers a fast path to vertical through its acquisition of Augie, now JWX Studio. This capability enables publishers to quickly transform existing long-form and horizontal content into vertical video experiences, extending their content’s lifespan and reach while accelerating experimentation with new formats and audiences.

“JWX is an indispensable partner as we continue to uncover new opportunities for engaging our audience, and Vertical Video is a great addition to their product portfolio,” said Kyle Whitfield, Vice President, Consumer Revenue at The Times-Picayune. “Beyond its strategic value, Vertical Video has been remarkably easy to implement, helping us get more engaging content onto our site without slowing down our workflows.”

Vertical Video is the latest development in JWX’s mission to help publishers “Create Once, Adapt Everywhere.” With the product, publishers can increase advertiser engagement and meet advertiser demand for greater media sponsorship innovation. At the same time, they can create social-style experiences to drive engagement among younger, mobile-first audiences.

Vertical Video integrates seamlessly into a publisher’s existing content and monetization strategy, unlocking additional surfaces to grow, engage, and monetize new audiences without compromising the user experience, disrupting the ad stack, or creating new workflows for content teams. Through JWX’s Strategy Rules product, publishers can A/B test and experiment across vertical video and other video and non-video formats, enabling data-driven optimization against core KPIs while maintaining operational simplicity.

“Publishers are grappling with a fundamental strategic shift as they move from simply attracting traffic to deeply engaging audiences across a fragmented landscape,” said John Nardone, CEO of JWX. “To succeed, publishers must reclaim the primary role of owning consumer attention and building habitual return behavior. Vertical Video helps them do this, by bringing a social-like experience to publishers’ own properties, ensuring that audiences of all generations have the opportunity to deepen their relationship with content.”

JWX is pioneering an orchestration layer that allows publishers to transform, distribute, engage, and monetize their storytelling at scale. Following the acquisition of Aug X Labs and its AI-assisted commercial video studio, publishers can now use JWX to strategically engage and monetize audiences through new storytelling media at greater scale and efficiency. With JWX, publishers can create premium, differentiated ad products that they can monetize without damaging brand trust or their user experience

Meet The People Launches MTP Intelligence, A Proprietary AI-Enabled Platform Unifying Creative, Media and Commerce

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Meet The People Launches MTP Intelligence, A Proprietary AI-Enabled Platform Unifying Creative, Media and Commerce

North American agency group unveils integrated technology platform powered by RADaR Analytics, designed to deliver clarity and efficiency across brands’ entire marketing lifecycle