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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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PAN

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.

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“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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TwelveLabs Launches Ecosystem Partner Program to Extend Video Intelligence in the Enterprise

JWX_logo

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

Canela Media and LiveRamp Make it Easier for Advertisers to Reach U.S. Hispanic Audiences via OTT

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Canela Media and LiveRamp Make it Easier for Advertisers to Reach U.S. Hispanic Audiences via OTT

Canela Media, a leading technology-driven multicultural media company, announced a new strategic partnership with LiveRamp, the leader in data collaboration. Through the scale and interoperability of LiveRamp’s data collaboration network, marketers can now overcome fragmentation and data silos to seamlessly access Canela’s proprietary audience of over 30 million U.S. Hispanics with precision and cultural relevance.

LiveRamp’s interoperability enables seamless connectivity to OTT destinations, now including Canela. Advertisers using LiveRamp’s platform can now use LiveRamp’s interoperable, durable identifier, RampID, to connect to Canela’s inventory, as well as any other destinations where their customers are spending time, on CTV and beyond. This allows advertisers to benefit from better reach, activation, personalization, and measurement.

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Additionally, today’s partnership enables advertisers to directly access CAS segments in the LiveRamp Data Marketplace. This includes more than 1,000 audience segments reaching over 30 million Hispanics, all derived from Canela’s deterministic dataset and enriched through LiveRamp’s data collaboration network. Advertisers can seamlessly discover and activate segments spanning demographics, cultural affinity, genre preferences, device type, lifestyle attributes, income, sports, automotive behavior, key consumer categories, incremental audiences, and more. Through the LiveRamp Data Marketplace, brands can access CAS to reach Hispanic audiences through direct media buys, programmatically, or via data licensing.

CAS is powered by more than 300 million device IDs and grounded in CTV viewership of Spanish language and more culturally relevant content. It delivers an accurate view of Hispanic consumers at scale and without relying on other imprecise inference methods. Central to CAS are Canela’s innovative incremental audiences, designed to reach viewers brands often cannot find elsewhere, ensuring campaigns exist beyond saturated environments and drive true incremental growth.

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“This partnership marks an important step forward in how we help brands reach and engage their audiences,” said Mike Bardaro, VP of Commercial Data Products at Canela Media. “Joining the LiveRamp data collaboration network expands access to culturally resonant audience segments and gives advertisers more flexible, scalable ways to connect with the consumers who matter most.”

“CTV continues to be a key platform for performant advertising, and our partnership with Canela makes it easier than ever to reach multicultural audiences,” said Kelsey Pullen, VP, Media and Agency Partnerships at LiveRamp. “Most importantly, this partnership makes it easier to leverage LiveRamp and Canela flexibly, whether advertisers are looking for Canela’s inventory or want to tap their wealth of information about their audiences.”

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IAB Tech Lab Opens Public Comment on Live Event Ad Playbook (LEAP) Forecasting API to Enable Advance Discovery of Live Event Inventory

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IAB Tech Lab Opens Public Comment on Live Event Ad Playbook (LEAP) Forecasting API to Enable Advance Discovery of Live Event Inventory

Proposed Standard Builds On LEAP Initiative To Help Buyers Plan, Reserve, And Monetize Premium Live Programming; Available for Public Comment Until Friday, March 20, 2026

IAB Tech Lab, the global digital advertising technical standard-setting body, announced the release of the Live Event Ad Playbook (LEAP)

Forecasting API for public comment. The proposed specification is designed to help address a long-standing industry challenge by enabling standardized discovery of upcoming programming, including but not limited to live events. Content owners can now share information with partners like schedules, expected ad breaks, and expected viewership. The Forecasting API represents Phase Two of the LEAP Initiative and is intended to support more effective planning, deal creation, and monetization of premium live and tune-in programming across the digital advertising ecosystem.

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“Live events continue to be one of the most valuable and technically complex areas of digital advertising,” said Anthony Katsur, CEO, IAB Tech Lab. “This proposal moves the industry earlier in the process by making future live inventory visible and actionable. It is about giving buyers and sellers the tools they need to plan ahead with confidence and scale those workflows through shared standards.”

Today’s programmatic systems generally lack consistent mechanisms for surfacing future inventory, limiting buyers’ ability to plan and reserve inventory in advance. The Forecasting API is designed to address that gap by allowing broadcasters and content owners to publish structured metadata to exchanges and DSPs. This includes information such as event schedules, expected ad breaks, and viewership forecasts, using a shared schema aligned with existing OpenRTB and AdCOM standards.

The Forecasting API builds on the foundation established by the Concurrent Streams API, which helps buyers and ad tech platforms understand the scale of live opportunities in real time. By moving upstream in the workflow, the Forecasting API enables earlier planning for live and tune-in programming, supports automated deal creation through integration with the Deals API, and helps participants take full advantage of highly engaged live audiences. Together, these components are intended to support a more scalable advance market for premium live content.

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“For years, Disney has been committed to modern and sophisticated forecasting capabilities to demonstrate the value of our premium Sports, Entertainment and News inventory,” said Alex Combs, Vice President, Ad Product, Disney Entertainment & ESPN. “As programmatic growth accelerates, standardized interoperability is no longer optional; it is the foundational infrastructure required to eliminate friction in buying. This is especially true for live events and programming,  where timing is crucial. Our active participation in the Forecasting and Concurrent Streams IAB Tech Lab initiative reflects our commitment to making automated buying as easy, efficient, and data driven as possible – delivering measurably better outcomes for our clients and creating an engaging experience for viewers.”

“As live and tentpole programming continues to grow across digital and streaming platforms, buyers and sellers need better ways to plan and coordinate around moments of peak viewer engagement,” said Daniel Perry-Zucker, Senior Product Manager, The Trade Desk. “By standardizing how the industry communicates about upcoming inventory, the Forecasting API helps improve monetization and consumer experiences alike—bringing greater speed, predictability, and scale to live advertising across the ecosystem, and we’re excited to help put these standards into practice.”

The Forecasting API reflects the industry’s growing focus on standardization as live streaming continues to expand and evolve. By thinking beyond the bidstream and enabling shared approaches to forecasting and planning, the specification aims to reduce friction, improve efficiency, and support more effective monetization of live content across the ecosystem. In addition to the API specification, Implementation Guidance has also been provided.

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RingCentral Drives New Era of Enterprise Voice AI Performance with OpenAI

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RingCentral Drives New Era of Enterprise Voice AI Performance with OpenAI

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RingCentral’s trusted communications enhanced by OpenAI deliver high-fidelity, powerful AI experiences that drive business outcomes

RingCentral, Inc. , a global leader in AI-powered business communications, announced it is integrating OpenAI to advance enterprise-grade voice AI. The effort combines RingCentral’s trusted communications platform with OpenAI frontier models like GPT-5.2 to bring generative AI into the most valuable business communication channel: voice. This effort will enable organizations to work smarter, serve customers faster, and unlock the full value of every conversation.

Powering a New Era of Voice-First AI

Voice is the richest, most immediate source of customer intent. By allowing customers to bring intelligence directly into the flow of live conversations, RingCentral is enabling natural, context-aware interactions that feel genuinely human through OpenAI. Powered by RingCentral’s high-fidelity, low-latency voice infrastructure, these experiences deliver exceptional clarity and responsiveness in real time.

Together, the companies are bridging the gap between cutting-edge AI innovation and practical, real-world business use, paving the way for a new generation of voice-driven automation and agentic AI solutions across the enterprise.

“OpenAI enables us to turn powerful technology into tangible business value – from AI that answers customer calls to AI that assists every employee,” said Kira Makagon, President & COO, RingCentral. “Together, we’re helping organizations transform how work gets done, making it faster, smarter, and more human.”

Fueling Rapid AI Innovation

OpenAI is helping accelerate RingCentral’s broader AI roadmap, by powering a connected system of agentic AI that spans the entire customer interaction lifecycle—from automated call handling to human-assisted decision-making. The same foundational technology behind RingCentral AI Receptionist™ (AIR), which answers and automates inbound customer calls, now extends to support RingCentral AI Virtual Assistant™ (AVA), the company’s new personal AI assistant currently available to a limited number of customers. Together, AIR and AVA form a unified intelligence layer: AIR handles interactions at the front door, while AVA ensures that once conversations are routed to people, employees are equipped with full context, insights, and next-best actions.

Built on RingCentral’s trusted communications platform and enhanced by OpenAI frontier AI, AVA brings voice-first, role-adaptive intelligence directly to employees. It connects voice, video, and messaging data across the RingCentral platform to help people find answers, automate tasks, and make smarter, faster decisions — keeping work moving without friction.

Unlike many AI tools that focus narrowly on documents or meeting summaries, AVA starts where AIR leaves off: real human conversations. It applies trusted voice intelligence captured across customer interactions to deliver context-rich, accurate responses and actions. From capturing notes and summarizing calls to searching across conversations and automating follow-up tasks, AVA helps employees turn routed interactions into meaningful outcomes.

“RingCentral shows how advanced AI moves beyond insight and into action,” said Giancarlo ‘GC’ Lionetti, Chief Commercial Officer at OpenAI. “By working together, we are bringing intelligence directly into live voice conversations, helping enterprises move faster, serve customers better, and act with confidence.”

As part of RingCentral’s AI roadmap, the company will also use ChatGPT Enterprise to spark new ideas, introduce new efficiencies into the product development process, and better understand its customers.

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Proven Performance, Real Outcomes

With OpenAI, RingCentral AIR™ automates customer interactions at scale — answering calls, scheduling appointments, routing inquiries, and following up through natural, human-like conversations. When a call requires human involvement, intelligence doesn’t stop; it flows seamlessly to employees through AVA, preserving context and accelerating resolution.

Already trusted by thousands of businesses, AIR delivers measurable results and makes advanced AI accessible to organizations of every size. Adoption has been rapid, with more than 5,000 customers in just two quarters as of the end of September 2025. Televero Health, a leader in behavioral healthcare, achieved a 97% patient satisfaction rate, with AIR playing a key role in that success.

“Using RingCentral’s AI Receptionist, the results are undeniable. We saw our monthly appointments increase 14 percent in the first four months, an increase in monthly revenue of more than $200,000. That kind of growth and return on investment is exactly what we need,” said Brian Tucker, Chief Digital Officer, Televero Health.

Enterprise-Grade Trust, Security, and Responsibility

Built on RingCentral’s secure, carrier-grade platform, this collaboration ensures that AI is deployed responsibly and at scale. Customer conversations remain protected under RingCentral’s data governance framework and are not used to train public models. With world-class security, privacy, and compliance controls designed for regulated industries, the integration of OpenAI brings the power of generative AI to business communications with safety and reliability at its core.

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Superprof Survey Finds AI Content Boom Is Driving Engagement Fatigue and Distrust Online

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Superprof Survey Finds AI Content Boom Is Driving Engagement Fatigue and Distrust Online

File:Logo superprof.svg - Wikimedia Commons

New survey by the world’s largest tutoring network reveals rising suspicion, engagement fatigue, and growing demand for transparency as AI shifts online habits.

A new national survey from Superprof, the world’s largest tutoring network, finds that as AI-generated content spreads across social platforms, people are growing more cautious about what they see, what they trust, and how they engage online.

“AI has changed the pace and scale of what people encounter online, and that shift is forcing a reckoning,” said Wilfried Granier, CEO of Superprof. “When content can be produced endlessly, trust becomes harder to earn. People want clarity about who or what they are learning, and they are paying closer attention than ever.”

Key findings show rising suspicion and growing fatigue:

Survey respondents increasingly assume their feeds are AI-generated, but don’t feel confident judging what’s real
• 65% of respondents often or very often suspect content in their feeds is AI-generated, even when it is not labeled.
• 73% say AI has made it harder to tell fact from fiction online.
• 42% report being duped by an AI account on social media.

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Growing uncertainty is changing how people engage with social platforms, and often pushing them to pull back
• 43% say they engage less overall on social platforms.
• 30% report engaging more selectively, signaling growing caution.
• 45% say AI has made platforms feel less human, while 16% say their feeds now feel repetitive.

As suspicion rises, trust in AI-generated content breaks down in sensitive areas
• 46% say they trust information less when they believe it was created by AI.
• AI-generated content feels least acceptable in news or current events (64%), personal stories or life advice (55%), and health or wellness advice (54%).

AI-generated content still moves people emotionally, sometimes uncomfortably
• 56% have been emotionally moved by content they later learned or suspected was AI-generated.
• 22% said this emotional reaction felt uncomfortable afterward.

Despite the unease, survey respondents remain divided about AI’s long-term impact. While 57% believe AI could ultimately strengthen social media as a space for human connection, 46% expect platforms to become more efficient but less human, or more entertaining but less trustworthy over time.

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Helical IT Solutions Announces Version 6.1 of Open Source BI Helical Insight – Advancing Toward a Unified BI Platform

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Helical IT Solutions Announces Version 6.1 of Open Source BI Helical Insight - Advancing Toward a Unified BI Platform

Helical Insight (@HelicalInsight1) • Facebook

Helical IT Solutions launches Helical Insight 6.1, enhancing unified embeddable open-source BI with paginated canned reporting, interactive dashboard and AI

Helical IT Solutions is excited to release Helical Insight version 6.1.0.862, a significant update to its open-source Business Intelligence (BI) platform. This release reinforces Helical Insight’s vision of becoming a comprehensive embeddable BI product that offers pixel-perfect documents kind of canned reports, interactive dashboards with drill down drill through and would be adding GenAI BI (chat based) module within one platform.

Helical Insight 6.1 advances our vision of a unified, embeddable BI platform combining pixel-perfect reporting, interactive dashboards, and GenAI BI in one cost-efficient solution.”

— Nikhilesh Tiwari, Director

Helical Insight continues to advance the accessibility of analytics by delivering a unified BI platform with flat pricing, flexible deployment, drag drop interface and embedding options. Its intuitive, browser-based experience enables both internal teams and external users to easily adopt self-service analytics and scale insights across the organization – without escalating costs or multiple BI products.

Version 6.1.0.826 brings backend upgrade to latest version of Java and Tomcat. With enhanced UI/UX, faster visualization creation, improved reporting controls, and broader visualization support, the platform enables organizations to embed interactive dashboards and pixel-perfect reports seamlessly into their products while maintaining simplicity, scalability, and cost efficiency.

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The latest release expands JDBC URL pattern support, including backslash-based formats and others aslo. It also bundles the latest PostgreSQL JDBC driver by default.

Visualization creation UX has been significantly simplified with single click, enable/disable of charts and hover-based guidance based on number of dimensions and measures present. Subcharts within card visualizations are now displayed in a full-screen, responsive view, improving readability and clarity.

Additional options for trend card, OpenStreetMap (OSM) mapping engine support and Calendar Chart for easy date-wise comparisons and trend analysis are introduced. Backend control over export settings such as orientation and paper size for charts and ad-hoc reports is provided, with UI-driven controls coming soon.

The paginated canned Reporting module now supports Table, Cross Tab, and Chart elements, combining detailed data with visual insights. This bridges traditional reporting with modern BI in a single reporting experience.

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TrafficGuard Launches in the United States to Help Combat Growing Ad Fraud and Invalid Traffic

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Rockwell Automation Announces DLG Group’s Computerized Maintenance Management System Deployment to Drive 10% Downtime Reduction

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Rockwell Automation Announces DLG Group's Computerized Maintenance Management System Deployment to Drive 10% Downtime Reduction

Danish agri-giant deploys Fiix® CMMS software to boost maintenance productivity, optimize inventory and develop best practices

Rockwell Automation, Inc., the world’s largest company dedicated to industrial automation and digital transformation, announced its collaboration with DLG Group, one of northern Europe’s leading manufacturers of agricultural feedstocks and agri-products, targeting reduced downtime with Fiix® Computerized Maintenance Management System (CMMS).

Using Fiix software, DLG Group is modernizing its maintenance processes for greater efficiency, lower downtime and improved inventory management. Within a month of moving to a digitized maintenance-management workflow, the company is already seeing improvements in the meantime between failure (MTBF). Within a year, the company expects to achieve a 10% reduction in downtime.

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“DLG Group’s deployment strategy has been a model of best practice and innovation,” said Katarina Hart, country sales director, Nordics, Rockwell Automation. “Using Fiix CMMS, DLG Group is on target to achieve improvements in efficiency that will more than pay for the investment in the new system.”

As well as boosting the efficiency of the maintenance teams, the new system is also enabling DLG Group to develop new maintenance best practices. Across teams, sites and a wide range of varied systems, the company is collecting data on common issues, fixes and data-driven optimizations. Knowledge is no longer siloed in different sites, and it is now easy to rapidly share best-practices and critical fixes companywide.

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“Our factory managers are already seeing a clear benefit in being able to manage and optimize their maintenance queues in real time,” said DLG’s Continuous Improvement (CI) engineer, Alex Rasksen. “It improves their time-to-resolution but also their cooperation with other functions, such as the production planners. This has had an immediate benefit. And in the long term, we plan to build on that expertise to move to a fully data-driven, predictive maintenance setup.”

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Stacker Expands Channel Partnership Strategy Through Collaboration with Notified

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Stacker Expands Channel Partnership Strategy Through Collaboration with Notified

Stacker_Logo (3)

This partnership represents Stacker’s commitment to scaling earned distribution through premium strategic partners, while upholding strict editorial quality and publisher trust

Stacker, the first content distribution platform built for earned reach, announced a partnership with Notified to help brands amplify GlobeNewswire press releases with complementary editorial-quality content called Syndicated Articles.

The collaboration is one of several partnerships with select organizations to expand how Stacker reaches the market, an important step in Stacker’s broader strategy to scale revenue through channel partners.

Through the partnership, communications teams can deliver two distinct assets: an official announcement distributed through GlobeNewswire and a separate, editorial-grade, non-promotional story built to earn coverage across trusted U.S. news outlets. Together, they give brands a unified approach to modern discovery, pairing speed and clarity with credibility signals that increasingly shape both search visibility and AI discovery.

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“Channel partnerships have been a powerful way to scale Stacker’s impact without compromising what makes the platform work,” said Noah Greenberg, CEO of Stacker. “GlobeNewswire is already the system of record for thousands of brands when it comes to their news announcements and media distribution. By partnering with Notified, we’re meeting teams where they already operate and packaging a modern distribution approach that combines traditional reach with the earned signals that increasingly shape both search visibility and AI discovery.”

“We’re seeing a fundamental shift in how information is consumed, as AI increasingly becomes the first place people turn to understand companies, products and trends,” said Erik Carlson, President and Chief Executive Officer at Notified. “With Syndicated Articles in Content OSTM, we’re helping our clients move quickly and win in the Answer Engine Economy, supported by Stacker’s earned distribution model.”

In accordance with Stacker’s commitment to full editorial integrity, all Syndicated Articles must meet Stacker’s editorial standards and review process: human-written, evidence-based, non-promotional stories that prioritize journalistic value, with claims supported by credible sources and data.

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“Publishers are not a distribution endpoint for us, they are the starting point,” said Noah Greenberg, CEO at Stacker. “Everything we build is designed to protect publisher trust. That means strict standards, real review, and a clear line between journalism and promotion. Scaling through partners only works if we stay publisher-first, every time.”

Stacker sees channel partnerships with major wire services and PR agencies as a natural extension of its vision of providing brands with durable visibility through credible storytelling distributed across trusted publisher environments at scale.

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Suplari Launches AI-ready Procurement Intelligence Platform, Introducing a New Category Beyond Spend Analytics

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Suplari Launches AI-ready Procurement Intelligence Platform, Introducing a New Category Beyond Spend Analytics

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First platform to combine AI-ready data foundation, procurement-specific agents, and closed-loop execution for enterprise teams

Suplari announced the launch of its Procurement Intelligence Platform, introducing a new category that replaces backward-looking spend analysis with real-time AI intelligence combining an AI-ready data foundation, procurement-specific agents, and closed-loop execution that connects insights to measurable financial outcomes.

Traditional spend analytics tools were built for reporting. But in an era where CEOs expect AI-driven efficiency across the organization, procurement leaders need more than dashboards.”

— Jeff Gerber, CEO and Co-founder, Suplari

With S&P 500 job openings declining sharply since 2023 while market valuations continue rising, enterprise procurement teams are being asked to do more with fewer people. Yet 65% of procurement leaders cite poor data quality as the biggest barrier to scaling AI, leaving most organizations stuck running manual processes while their peers modernize. (HFS Research, 2025)

“Traditional spend analytics tools were built for reporting. They show procurement teams see what happened last quarter. But in an era where CEOs expect AI-driven efficiency across the organization, procurement leaders need more than dashboards. They need intelligence that detects opportunities in real time, recommends actions grounded in enterprise data, and tracks outcomes through execution,” said Jeff Gerber, CEO and Co-founder of Suplari.

Suplari’s Procurement Intelligence Platform addresses this gap by combining three capabilities no other solution offers together: a unified data foundation that works with imperfect data from day one, AI agents built specifically for procurement workflows, and closed-loop tracking that proves procurement’s impact on the P&L.

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

Unlike spend analytics platforms built primarily for reporting, or enterprise suites that treat AI as a bolt-on feature, Suplari’s architecture starts with data quality. It automatically cleans, classifies, and harmonizes spend, supplier, and contract data from existing systems without requiring replatforming. The result is an AI-ready foundation procurement and finance can both trust, built for organizations that want to start with what they have.

What distinguishes Suplari is not any single capability but how the three work together. The data foundation makes AI reliable. The agents surface opportunities grounded in enterprise context rather than generic models. And closed-loop tracking creates a direct, auditable link between procurement action and P&L impact.

The Procurement Intelligence Platform is available now for enterprise procurement teams. Suplari delivers initial insights in days, not months, working with customers’ existing systems from day one.

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PoshBuilder AI Enters Beta With Desktop IDE and Self-Hosted CMS Built to Challenge Cursor and WordPress

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PoshBuilder AI Enters Beta With Desktop IDE and Self-Hosted CMS Built to Challenge Cursor and WordPress

All-in-One Platform Combines AI-Powered Coding, Visual Building, and Deployable CMS for Modern Web Development

PoshBuilder AI announced the beta launch of its integrated web development platform, combining a full-featured desktop IDE, AI-assisted visual builder, and self-hosted CMS into a unified development environment. The platform is positioned as a comprehensive alternative to AI coding tools such as Cursor and traditional CMS platforms like WordPress.

PoshBuilder AI addresses a longstanding fragmentation problem in modern web development. Developers and agencies often rely on disconnected tools: AI editors for coding, separate visual builders for layout, CMS platforms for content management, and independent hosting dashboards for deployment. PoshBuilder AI consolidates these layers into a single AI-powered system designed to move users from concept to live deployment within one workflow.

Three Core CapabilitiesDesktop IDE with AI Code Actions
Built on Monaco Editor technology, the desktop IDE provides:

Real-time AI-assisted code generation, debugging, and refactoring
Full multi-file project awareness across entire repositories
Integrated terminal and Git version control
Support for major frameworks including React, Vue, Next.js, PHP, and Python

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

AI Visual Website Builder
Designed for rapid prototyping and hybrid developer workflows:

-Generate complete websites from structured prompts
-Drag-and-drop editing with exportable production-ready code
-Clean PHP, HTML, CSS, and JavaScript output
-No proprietary lock-in

Self-Hosted CMS
Unlike subscription-based SaaS builders:

-One-click installation on compatible servers
-SEO-oriented content architecture with structured metadata
-Schema-ready markup and clean semantic HTML output
-White-label capability for agencies
-No per-site hosting dependency

Market Context
Industry analysts project continued expansion of the global website builder market through the end of the decade. However, existing platforms typically force trade-offs between ease-of-use and technical control. Hosted builders simplify design but limit flexibility, while traditional CMS systems offer customization at the cost of performance overhead and complexity.

PoshBuilder AI integrates AI coding, visual building, and deployable CMS architecture into a modular system, allowing users to adopt individual components or operate the full stack within a unified platform.

Search Engine Architecture
PoshBuilder AI’s CMS is engineered with search visibility as a core technical requirement. The platform emphasizes clean semantic HTML, structured metadata systems, and performance-optimized rendering to support discoverability across search engines including Google. Unlike template-heavy builders that generate bloated code, PoshBuilder AI outputs streamlined markup designed to enhance crawlability and indexing efficiency.

Key architectural features include:

-Pillar and cluster content structuring for topic authority
-Automated internal linking suggestions based on content relationships
-Schema.org markup generation for rich search results
-Core Web Vitals optimization with lightweight rendering
-Sitemap and robots.txt automation for proper crawl management

The system is built to support modern SEO practices at the infrastructure level, rather than relying on third-party plugins or aftermarket tools.

Beta Program
The beta launches with limited access:

-100 individual developer seats
-50 agency partnerships
-20 enterprise pilot programs

Participants receive early feature access, roadmap input, and discounted lifetime pricing incentives.

Platform Background
PoshBuilder AI is developed by CEO Marc Mancuso and the team behind PoshListings, an earlier web platform focused on structured listing and publishing systems. Experience gained building scalable content workflows and deployment infrastructure directly informed the architecture behind PoshBuilder AI.

“We saw firsthand how fragmented the web creation process had become,” said Mancuso. “PoshBuilder AI addresses that fragmentation at the development layer, unifying coding, visual building, and deployable CMS architecture within one AI-native environment. Our approach to search optimization is architectural—it’s built into the rendering engine, not bolted on afterward.”

Roadmap
Planned expansions include:

-Template and plugin marketplace
-Team collaboration tools
-Advanced SEO pillar/cluster content automation
-AI-powered internal linking intelligence
-API integrations for custom workflows

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Videoinu Introduces YouTube Copilot to Help Creators Publish Smarter on YouTube

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Videoinu Introduces YouTube Copilot to Help Creators Publish Smarter on YouTube

Videoinu has introduced YouTube Copilot, an AI agent designed to help creators improve YouTube titles, descriptions, and publishing consistency.

Videoinu has recently introduced YouTube Copilot, a new AI agent designed to support creators at a stage many find challenging: publishing finished videos effectively on YouTube.

As video creation becomes faster, the “last mile” often becomes the bottleneck. Many creators still struggle with how to package an upload—what to write in the title, how to structure the description, and how to build a repeatable publishing routine that supports audience growth over time. Videoinu says YouTube Copilot is intended to reduce that uncertainty by providing practical guidance once a video is ready to publish.

According to Videoinu, YouTube Copilot helps creators refine key YouTube publishing elements such as titles and descriptions , drawing from patterns commonly seen across currently popular and high-performing videos . The goal is to help creators make clearer publishing decisions and build consistency—an important factor for growing an audience and unlocking monetization opportunities.

Videoinu positions its broader platform around accessibility, aiming to democratize AI video creation so users can turn an idea or script into a finished video regardless of editing background, budget, or technical skill. The platform supports multiple generation workflows, including text to video and image to video , enabling creators to start from prompts or visual references based on their content style.

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“Creators can move quickly through production now, but publishing is still where momentum often breaks,” said Richard , spokesperson for Videoinu. “YouTube Copilot is designed to make that final step more repeatable—so creators can package uploads more clearly, publish more consistently, and improve with every release.”

Videoinu also notes that the platform is designed for faceless, story-driven formats that creators can sustain on a regular schedule. For series-based channels, Videoinu supports consistent characters and scenes , helping creators maintain continuity across episodes and strengthen channel identity.

To support controllable, repeatable production, Videoinu provides a structured storyboard and workflow that helps creators manage outputs at scale. Creators can also iterate quickly by regenerating scenes and refining results without restarting entire projects, supporting faster experimentation and ongoing improvement.

Videoinu reports it has surpassed 1,000,000 registered users globally , and cites ongoing discussion across creator communities and social platforms including YouTube, Discord, Reddit, X (Twitter), Instagram, and TikTok .

The company added that broader interest in AI video creation continues to grow across the creator economy, alongside increased attention to video-generation approaches associated with models such as Sora —making publishing guidance and repeatable workflows increasingly important for creators who want to build channels over time.

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