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IntelePeer Supercharges AI Platform with Microsoft Azure Cosmos DB for Enterprise-Grade Performance

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IntelePeer Supercharges AI Platform with Microsoft Azure Cosmos DB for Enterprise-Grade Performance

Healthcare Organizations Gain Scalable, AI-Driven Patient Experience Solutions; Innovations Showcase at Microsoft Ignite

IntelePeer, an end-to-end conversational and agentic AI platform provider, announced it has integrated advanced capabilities of Microsoft Azure Cosmos DB into its conversational and agentic AI platform, giving multi-location healthcare organizations and medical practices enterprise-grade performance and scalability for delivering superior patient experiences.

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“With Microsoft Azure Cosmos DB, we’ve gained fine-grained control over performance, simplified our infrastructure, and empowered our AI agents to deliver smarter, faster, and more scalable customer experiences,” Sergey Galchenko, IntelePeer CTO.

The result of a collaborative effort by engineering teams at IntelePeer and Microsoft, the integration significantly enhances the performance and responsiveness of omnichannel patient interactions powered by IntelePeer’s solutions. It also streamlines system architecture and unlocks new opportunities for healthcare providers to configure, deliver, and scale highly sophisticated applications that elevate patient experiences and improve operational efficiency.

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“By integrating advanced features of Microsoft Azure Cosmos DB into our conversational and agentic AI platform, we’re giving our customers enterprise-grade capabilities that enable them to deliver superior patient experiences,” said Frank Fawzi, CEO of IntelePeer. “It’s part of our commitment to provide healthcare providers practical, easy-to-use AI-powered solutions that can be quickly deployed so they can improve patient satisfaction, operational efficiency, and business outcomes.”

IntelePeer’s integration with Azure Cosmos DB improves real-time performance across voice, API, and LLM-powered workflows by consolidating short-term memory, session storage, and vector search into Azure Cosmos DB. It also adds new capabilities for Retrieval Augmented Generation (RAG), semantic search, and AI personalization. Additional benefits include:

  • The ability to convert FAQ docs into embeddings for more intelligent AI agents.
  • Decreased network and data access latency of 15 milliseconds per transaction.
  • Reduced costs and resource utilization by using Azure Cosmos DB auto scaling, logical isolation, and emulation capabilities.

“With Microsoft Azure Cosmos DB, it’s night and day compared to our previous use of self-managed clusters,” said Sergey Galchenko, CTO of IntelePeer. “We’ve gained fine-grained control over performance, simplified our infrastructure, and empowered our AI agents to deliver smarter, faster, and more scalable customer experiences.”

“IntelePeer’s use of Microsoft Azure Cosmos DB showcases the power of cloud-native databases to deliver real-time, AI-driven customer experiences at scale,” said Kirill Gavrylyuk, Vice President, Azure Cosmos DB at Microsoft. “By using Azure Cosmos DB’s low-latency performance, vector search capabilities, and seamless scalability, IntelePeer is empowering its customers with enterprise-grade AI performance in solutions that are both cost-effective and transformative.”

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Iterable Launches Model Context Protocol (MCP) Server, Strengthening Its Dominance in AI Marketing Innovation

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Cloudfly Media Launches GWSave to Help Global Businesses and Startups Optimize Google Workspace Costs

Iterable, the AI-native customer engagement platform, unveiled the latest breakthrough in its rapidly expanding agentic marketing suite: the Model Context Protocol (MCP) Server. This new access layer gives developers and technical marketers the power to connect specialized AI tools like Cursor, Claude Code, and Claude Desktop directly to the Iterable platform and turn natural-language direction into governed, real-time platform actions. With MCP, Iterable is delivering AI that can take action—not just answer questions—transforming the speed and scale at which teams can build, optimize, and analyze campaigns while dramatically reducing their reliance on engineering.

Iterable releases the next wave of its AI Intelligence Suite: the MCP Server. With MCP, Iterable is delivering AI that can take action—not just answer questions—accelerating how marketing teams build, optimize, and drive business value.

MCP is the latest extension of Iterable’s industry-leading AI intelligence suite, with over 90% of Iterable customers already leveraging AI agents across their marketing programs. The open-source MCP Server is an important next step in Iterable’s commitment to delivering intelligent, accessible automation, removing critical barriers to marketing agility, and unlocking new value and opportunity for teams looking to scale personalization and business impact with confidence.

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“Marketing teams have an unprecedented opportunity to elevate the customer experience and accelerate time to value with new technologies. The MCP Server is a massive unlock for realizing that potential,” said Nick Beil, Chief Product Officer at Iterable. “For the first time, technical marketers can work with AI that actually takes action on their intent—not just offers answers. It gives them a more direct, intelligent way to apply their expertise, experiment faster, and turn ideas into impact at a pace that simply wasn’t possible before. This is a major step toward marketing organizations that operate with true autonomy, intelligence, and scale.”

Unlocking a New Era of Opportunity for Modern Marketing Organizations

Marketing leaders are under historic pressure to deliver predictable, efficient growth across the markets they serve; more than 60% report heightened scrutiny from CFOs and CEOs to prove financial impact, while 75% of CMOs say they are expected to “do more with less” even as growth targets rise. They must operate at speed, with precision, and with clear revenue accountability.

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However, the systems they rely on haven’t evolved to meet these demands. Customer data remains scattered, core workflows still require manual fixes, and tools operate in isolation.

The Iterable MCP Server closes this persistent execution gap—turning the growth marketing leaders envision into operational reality, and unlocking new levels of efficiency, experimentation, and scalable performance.

The Iterable MCP Server delivers what other platforms cannot: AI that can act, not just answer questions.

Built with an API-first access layer and controlled read/write capabilities, the MCP Server unifies customer data, business context, and campaign assets into a single, action-ready environment. Technical marketers gain the clarity, consistency, and control they’ve long been missing—and the freedom to operate at the speed the business demands.

Through natural-language prompting that transforms direction into action, teams can explore ideas, refine logic, and execute updates in a single workflow. The result is a marketing organization that ships faster, experiments more confidently, and redirects time toward the strategic initiatives that drive measurable business growth.

Key Benefits of the MCP Server:

  • Faster, More Personalized Campaign Creation: Natural-language prompts enable teams to instantly generate templates, localized content, variants, and complete journey steps using live customer and performance signals. This shortens production cycles and makes advanced personalization accessible to every technical marketer.
  • Streamlined Execution Across Complex Marketing Workflows: Work that previously demanded hours of effort or cross-functional engineering support can now be completed in minutes. Teams can prototype, configure, and optimize campaigns directly within their primary workflow.
  • Clearer Visibility and Rapid Auditing: Marketers can instantly see what’s live, how it’s performing, and where issues may exist across channels or regions—enabling a more proactive, informed approach to optimization.
  • Flexible Setup and Access: The MCP Server supports both sandbox and production environments, giving teams the freedom to choose how and where they work. With clearly defined read/write permissions and stable API access, teams can integrate AI tools with confidence, balancing speed and flexibility, all with marketer-defined controls.

The MCP Server is now available as an open-source resource for all Iterable customers and partners. And this is just the beginning. In the months ahead, Iterable will continue to introduce a powerful wave of agentic features and AI capabilities designed to optimize workflows, accelerate execution, and elevate marketing performance.

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Storyblocks Introduces AI Toolkit to Empower the Modern Creator

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Storyblocks Introduces AI Toolkit to Empower the Modern Creator

Storyblocks tackles stock media’s ‘biggest weakness’ with AI-powered customization and enhanced creative control

Storyblocks, an unlimited, subscription-based stock media platform with video creation and workflow functionality, introduced its AI Toolkit, new features designed to enable creators to work faster and with greater creative freedom. The toolkit integrates ElevenLabs’ voiceover capabilities and Runway’s video editing into the Storyblocks workflow, enabling creators to enhance authentic, human-created stock media rather than generating new assets from scratch.

Built on Storyblocks’ library of more than six million high-quality, human-made assets, the AI Toolkit introduces advanced tools that amplify creativity rather than automate it. Featuring AI Voiceover, powered by ElevenLabs, and AI Video Editing, powered by Runway, the toolkit provides creators with faster and more intuitive ways to personalize, adapt and bring their stories to life.

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“For creators, speed is everything — but never at the expense of creativity,” said TJ Leonard, CEO of Storyblocks. “We built the AI Toolkit to give creators their time back and to solve one of stock media’s biggest weaknesses: customization. These tools make it easier to adapt, refine and personalize content so it truly fits a creator’s story and brand. Storyblocks has always been built on high-quality, human-made content, and the AI Toolkit extends that foundation, putting more creative control directly into the hands of storytellers.”

Innovation through Creative Collaboration 
With AI Voiceover, Storyblocks makes it easier than ever for creators to produce high-quality audio for their videos. The feature enables text-to-speech generation, voice cloning for personalized narration, and voice transformation to match different tones or styles. Additionally, leveraging Runway’s Aleph model, creators can utilize AI Video Editing to modify elements such as color, lighting and backgrounds, transforming existing footage into project-ready assets in minutes. These capabilities extend the creative potential of stock media, turning Storyblocks’ library into a launchpad for storytelling.

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“We’re thrilled to partner with Storyblocks to bring the power of Runway’s Aleph model directly to their platform,” said Alejandro Matamala Ortiz, Chief Design Officer and Co-founder of Runway. “From the first time we met the team, Storyblocks emphasized the importance of combining quality content and workflow tools to simplify how storytellers create digital video. The way they’ve integrated the Aleph model with their library represents a novel approach that will deliver unprecedented creative control. For the first time, creators will be able to modify, edit and reimagine stock video to customize it for their projects. We believe this will unlock entirely new ways of creating with confidence and speed at scale.”

More than just workflow enhancements, the AI Toolkit marks a shift in how creators engage with stock media, transforming static footage into a versatile canvas for storytelling. By empowering creators to reimagine content in real-time, Storyblocks continues to push the boundaries of traditional stock media, offering new ways for creators to customize their work using AI.

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REMIXED Publishes New Article on How Data Driven Design Is Shaping Modern Creativity

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REMIXED Publishes New Article on How Data Driven Design Is Shaping Modern Creativity

Data driven design is reshaping how brands create, refine, and elevate user experiences through the power of analytics.

REMIXED, a full service branding and integrated marketing and advertising agency, announced the publication of a new article, “Data Driven Design: How Analytics Is Shaping Creativity.” The article explains how analytics is transforming the creative process by helping designers make informed decisions based on real user behavior and measurable performance.

“Data driven design gives brands the clarity they need to understand what their audiences actually want,” said Douglas Berger, CEO of REMIXED: the branding agency. “When creative work is guided by real insights, the results are stronger, more intuitive, and far more engaging.”

The piece highlights how data driven design empowers brands to build user centered digital experiences that perform better, communicate more clearly, and evolve continuously.

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Highlights from the Article:

Website Analytics
Analytics tools reveal how users interact with layouts, navigation, and content. These insights help creative teams optimize pages for clarity, flow, and stronger engagement.

A/B Testing
A/B testing allows brands to compare design variations and measure what works best. Designers gain empirical proof that supports creative decisions and leads to higher performance.

Predictive Analytics
Predictive models identify upcoming trends and user needs by studying historical data. This helps brands stay ahead of expectations and build experiences ready for future behavior.

Focus Groups
Whether determining color palettes or final logo selection, focus groups give designers key data points and direct feedback from target audiences. This qualitative insight helps validate creative directions and ensures design choices truly resonate.

Data driven design gives brands the clarity they need to understand what their audiences actually want.”

— Douglas Berger, CEO of REMIXED: the branding agency

A New Chapter in Creative Strategy

By bringing analytics into the design process, brands can merge creativity with intelligence to deliver experiences that resonate deeply with users. Data driven design enables continuous improvement, encourages innovation, and strengthens the connection between brand and audience.

“Data is one of the most powerful tools a creative team can use,” said Douglas Berger. “It points the way toward designs that feel intuitive and meaningful because they are shaped around real users.”

Remixed’s leadership continues to advocate for the combination of data, creativity, and human insight as the foundation for better design and more effective marketing.

The newly published article details how analytics continues to influence modern design, offering brands a clear path toward smarter, more impactful creative solutions.

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Tamr Unveils Curator Hub to Solve the Hardest Part of Data Quality and Curation

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title Tamr Unveils Curator Hub to Solve the Hardest Part of Data Quality and Curation

New module blends AI agents with human-in-the-loop oversight to fix data faster — improving accuracy, governance, and ROI of AI initiatives

Tamr, the only AI-native master data management (MDM) solution, announced Curator Hub, a new module that helps organizations rapidly tackle the trickiest quality issues in their data — and prepare it for successful generative AI use — by pairing intelligent agents with human expertise.

As data quality becomes the biggest barrier to trustworthy AI, Curator Hub offers a smarter, more scalable way to resolve inconsistencies, fill gaps and connect related records. Teams can work faster; reduce manual effort; and make better, data-driven decisions, while seeing greater returns on AI initiatives.

Tackling Data Challenges with Agentic Curation

In contrast to rules-based approaches, Tamr’s machine learning automates the bulk of the often-onerous data mastering process: unifying, cleaning and enriching enterprise data at scale. Still, the “last mile” of data curation, or about 5% of cases, has remained notoriously hard to resolve automatically. Edge cases, inconsistent values and uncertain matches — like determining whether “Java Town” and “JavaTown Café” refer to the same entity — often require human judgment and eat up valuable time, or simply remain unaddressed.

These data issues add up. Multiple studies have shown that poor data quality costs organizations millions of dollars per year. In addition, according to Gartner® research, “through 2026, 30% of generative AI (GenAI) projects will be abandoned after proof of concept, due to poor data quality, inadequate risk controls, escalating costs or unclear business value.”1

Curator Hub closes this gap. It marks Tamr’s entry into agentic data curation — the use of LLM-based AI agents that can reason through complex data issues, suggest updates, and explain their logic in plain language. Designed as the “mission control” for human-AI data curation, Curator Hub gives data stewards a central space to manage issues flagged by AI agents or submitted by users.

For CHG Healthcare, a leader in healthcare staffing, this functionality holds strong promise. The company uses Tamr to unify fragmented provider data, reduce duplicates, and enable real-time access to accurate records, and looks forward to building on that success.

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“I’m excited about agentic data curation,” said Taner Maia, senior product manager, provider services platform at CHG Healthcare. “There’s great value in focusing on the curator experience, and Curator Hub and AI agents have real potential to help. As we scale provider onboarding and streamline placement, getting the right data into the hands of the right people even more quickly would be a big win for CHG.”

How Curator Hub Changes the Workflow

That potential becomes clear in the day-to-day work of data stewards. Take the Java Town example earlier: two records with slightly different names and incomplete details. In the past, a data steward would have to track down those records manually, compare fields across tables, and make a judgment call — often without full context or a clear way to see the impact of their decision.

Curator Hub replaces that process with a smarter, more intuitive workflow — shifting from manual data triage to intelligent, human-in-the-loop curation. Through a combination of data quality standards, real-time duplicate checks and background agents, edge cases are automatically flagged in a curated queue, where stewards can:

  • See side-by-side comparisons,
  • Understand why an issue was flagged, and
  • Preview what will change before applying an update

“Curation workflows only work if stewards actually want to use them,” said Paul Balas, Tamr user and data strategy consultant at 303Computing, a consulting firm specializing in enterprise data architecture. “Curator Hub is both intuitive and powerful — surfacing high-impact issues, showing what’s changing, and keeping experts in control without overwhelming them. That’s how you build trust, accelerate adoption, and get more value from your data.”

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Features & Functionality

Curator Hub will be available as part of Tamr’s AI-native MDM platform to all Tamr Cloud customers. It includes a range of features to help teams scale data quality, all within a customizable, user-friendly workspace:

  • Prioritized issue queue: Focus on the most pressing problems first. Curator Hub surfaces potential duplicates, missing values and anomalies, ranked by urgency by Tamr’s agents.
  • Decision-ready views: See side-by-side comparisons, understand why issues were flagged (with labels and confidence scores), and preview changes before applying updates.
  • Golden record refinement: Improve accuracy by moving or reassigning source records to ensure the correct grouping and composition of mastered entities, such as a person or organization.
  • Customizable workflows: Define how issues are routed, when agents are triggered, and which cases require human review.
  • Transparent curation history: Track who made what changes and when, helping teams audit decisions and maintain data governance.
  • System health insights: See resolution progress, monitor issue volume, and visualize data quality trends in real time.
  • Built-in (and expanding) agent library: Tap into a starter set of prebuilt AI agents, with more on the way, including industry-specific tools and reusable logic templates.
  • Bring Your Own Agent (BYOA): Integrate your custom-built agents into Tamr’s workflow using a supported low-code approach.

“Data projects lose momentum and value when results take too long to materialize,” said Anthony Deighton, CEO of Tamr. “Curator Hub changes that, giving stewards an intuitive way to see, make and explain data improvements. It also provides an important vehicle for leveraging AI agents to automate and improve data curation efficiency — representing a pivotal shift in how organizations can build trust in their data and realize greater returns from downstream AI applications.”

Curator Hub is part of Tamr’s broader mission to bring clarity to enterprise data by combining machine intelligence with human expertise. By helping teams review, approve, and trust the work of AI agents, Tamr is redefining how organizations scale and govern their most valuable data assets.

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Genesys Cloud Enables Aterian to Deepen Customer Loyalty Across Global Marketplaces and Reduce Costs by 65%

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BFJ Digital Urges Shift to Profit-Based Ad Metrics for 2026

Through AI-Powered Experience Orchestration, the company behind Squatty Potty reduced handle time by 25%; boosted agent satisfaction by 33%; and built an empathetic, scalable global service model

Genesys®, a global cloud leader in AI-Powered Experience Orchestration, is enabling Aterian, the multibrand consumer products company behind Squatty Potty, Healing Solutions and more, to deliver empathetic care at scale and build loyalty moments into every customer engagement. With the Genesys Cloud™ platform, Aterian has transformed its customer experience (CX) across every channel, leading to a 65% decrease in cost of ownership and direct bottom-line impact.

As the rapidly growing company expanded its operations across major marketplaces, including Amazon, Walmart, eBay, Temu and Shopify, it faced a growing challenge to scale personalized, emotionally intelligent CX. With more than 70% of interactions previously handled through primarily asynchronous channels like email and buyer messages, the company needed a unified, intelligent system that could orchestrate the complexity of its customer journeys.

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By implementing the Genesys Cloud platform, Aterian rebuilt its CX foundation, unifying its systems, embedding intelligent automation and empowering its agents. The digital transformation at Aterian marks a new chapter for the company, one that modernizes its CX strategy while maintaining empathy at its core to create more meaningful connections, strengthen loyalty and power the company’s next phase of growth.

“Our journey has always been about evolution. As a fast-growing organization, we needed to scale without losing the connection that defines our brand,” said Dan Yawitz, head of technology at Aterian. “Genesys gave us the flexibility to design a system that empowers our agents to work smarter, respond faster and make every interaction feel meaningful. As we expand into new categories like Squatty Potty Flushable Wipes and Healing Solutions Tallow Skincare, Genesys helps us turn each customer moment into an opportunity to build trust and loyalty.”

Aterian tapped into the flexibility of the Genesys Cloud platform to integrate its own AI alongside Genesys Cloud AI, building a system where intelligent automation and human understanding work seamlessly together. This human-plus-AI approach has made support faster and more consistent, cutting handle time by almost 25%. nearly half of all interactions are automated, freeing agents to dedicate more time to complex issues and build stronger, more meaningful customer relationships.

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“Aterian understands that consumers want to feel heard and valued, regardless of whether they’re helped by a human or virtual agent,” said Olivier Jouve, chief product officer at Genesys. “With Genesys Cloud, Aterian can deliver empathy at scale, powered by AI, to improve efficiency and consistency across every interaction. Together, we’re showing how technology can amplify what matters most in customer experience — human connection.”

To bring that philosophy to life, instead of adding complexity with extra tools or dashboards, Aterian embedded AI-powered guidance and coaching directly into the Genesys interface. Agents receive contextual insights and next-best-action recommendations in real time, helping them resolve issues faster and with greater confidence. These tools resulted in a 33% increase in overall agent satisfaction, reflecting how AI can enhance performance, reduce friction and create a more fulfilling work environment.

With Genesys Cloud, Aterian has built an environment where empowered teams and positive customer experiences grow side by side, laying the foundation for effortless expansion into new product lines, consistent brand experiences, and a stress-free holiday season for both customers and agents.

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KERV.ai Receives Series B Funding from Coral Tree Partners, Fueling Next Phase of Growth in AI-Powered Contextual Commerce Media Solutions

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KERV.ai Receives Series B Funding from Coral Tree Partners, Fueling Next Phase of Growth in AI-Powered Contextual Commerce Media Solutions

KERV.ai, a leader in AI-powered video analysis, performance, and monetization, announced the closing of its Series B funding round led by Coral Tree Partners, a growth-focused investment firm specializing in media, entertainment, and technology. The funding follows record commercial and partnership growth, reinforcing KERV.ai’s position as a premier AI platform transforming video into interactive, data-rich, and shoppable experiences across all screens.

Leveraging advanced proprietary object-level metadata, KERV.ai delivers contextual intelligence, interactive and shoppable video, first-party data targeting, and commerce-driven OLV & CTV solutions that help empower brands, agencies, and publishers to achieve greater relevance, performance, and measurable outcomes across the video ecosystem. KERV.ai will use the new funding to invest in R&D, technology, talent, and infrastructure to further scale these AI-powered contextual commerce capabilities, while expanding into new markets and strategic partnerships to drive global growth and innovation.

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“KERV.ai has built a proprietary technology that combines creative storytelling, commerce activation, and data-driven performance,” said Alan Resnikoff, Partner at Coral Tree Partners. “We believe this team is poised to lead the convergence of content, commerce and contextual intelligence, and we look forward to partnering with and supporting their next chapter of growth.”

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“Video remains the most powerful medium for connection, and KERV.ai is redefining how data, commerce and creativity come together to create a new era of engagement,” said Gary Mittman, CEO of KERV.ai. “With Coral Tree’s partnership, we’ll continue to scale our contextual commerce and AI video-intelligence solutions, helping to drive measurable results for our clients and partners while shaping the future of outcomes-based interactive storytelling.”

KERV.ai’s raise reflects the growing importance of ad-supported tiers within the broader CTV landscape. The company’s financial performance, disciplined execution, customer service, and differentiated technology underscore investor confidence in its ability to deliver meaningful outcomes across the video ecosystem.

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AVOXI Proactive Service SaaS uses AI to Detect Voice Channel Issues Before Clients 97% of the Time

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KPI Partners Opens New Bengaluru Office to Accelerate Global Data, Analytics & GenAI Innovation

Intelligent, Diagnostic Solution Delivers Unmatched Number Availability and Issue Resolution with Always-On Protection

AVOXI, a global leader in cloud voice software for contact centers, announced performance benefits for its patented diagnostic offering, Proactive Service, the only AI-enabled SaaS solution that automatically identifies call vulnerabilities and proactively fixes them to ensure optimal voice performance.

“Proactive Service sets a new standard for protecting global voice more actively and intelligently, so companies can optimize resources and further strengthen the customer experience.” – Barbara Dondiego, CEO, AVOXI

Proactive Service uses AI and software automation to recognize voice number issues before its customers 97% of the time and resolves them 50% faster than traditional industry approaches. This new voice diagnostic approach, which redefines the legacy voice support model, reduces risk of lost revenue and increases brand loyalty with customers and partners.

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“Every second counts for enterprises that rely heavily on contact centers to engage with callers. That’s why AVOXI is focused on software innovation that takes advantage of the cloud and AI to monitor voice, improve call quality, and fix downtime issues,” said Barbara Dondiego, CEO of AVOXI. “Proactive Service sets a new standard for protecting global voice more actively and intelligently, so companies can optimize resources and further strengthen the customer experience.”

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Innovative, Software-Driven Approach Improves Operational Efficiency
According to the 2025 State of International Voice for the Contact Center Report, security and coverage remain key infrastructure challenges for companies operating call centers in five or more countries. 80% cite voice security concerns, 77% call quality issues, and 78% report gaps in global coverage. AVOXI is at the forefront of addressing these issues with AI as usage grows.

AVOXI Proactive Service is built with advanced SaaS analytics to identify call flow issues, monitor availability and call traffic at the number level, perform diagnostic tests to validate issues and gather details, and automatically generate support cases without IT intervention to speed resolution.

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Rivvit Launches AI-Powered Virtual Analyst, Changing How Investment Teams Interact with Data

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Rivvit Launches AI-Powered Virtual Analyst, Changing How Investment Teams Interact with Data

New feature allows asset managers to engage with their data through natural conversation

Rivvit Inc., a leading provider of data management and reporting solutions for investment managers, announced the launch of its AI-powered virtual analyst, which enables users to engage with their data and documents through natural conversation.

The virtual analyst represents a major leap forward in Rivvit’s mission to make data easy. It combines Rivvit’s trusted data foundation with conversational intelligence to deliver instant insights and automation within a secure, governed architecture built for financial institutions.

“Data is the fuel for AI,” said Matt Biver, CEO of Rivvit Inc. “But AI only works when the data beneath it is clean, organized, and reliable. Because Rivvit already unifies and governs investment data across systems, our virtual analyst can now tap into that foundation to deliver trustworthy, explainable answers that users can act on with confidence.”

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A new way to work with data

Rivvit now allows users to ask any question about their portfolios, documents, and reports without writing a single query or building a dashboard. It’s like having an analyst on demand.

From portfolio management and asset allocation to time series analysis, data quality review, and investment committee commentary, Rivvit empowers front, middle, and back-office teams to get answers instantly.

“Rivvit now gives everyone the ability to talk to their data,” added Biver. “Whether you’re a portfolio manager looking for asset allocation insights, an accountant explaining changes in AUM, or a risk manager investigating performance trends, our AI-powered virtual analyst helps you get answers instantly without writing any code.”

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From data foundation to artificial intelligence

Rivvit’s virtual analyst marks the next stage in Rivvit’s evolution, moving from data foundation to unifying and governing data to enabling true data intelligence:

  1. Data foundation: Establishing clean, centralized data from all systems

  2. Reliable reports: Building trust through consistent reporting and validation

  3. Data governance: Ensuring accuracy, quality, and accountability with tools that monitor data health, lineage, and availability

  4. Trusted queries: Empowering users to explore data through self-service access

  5. AI intelligence: Enabling natural language interaction, powered by the same trusted foundation

“AI isn’t the end of the data journey,” concluded Biver. “It’s the reward for doing data right. Rivvit has always been about making data easy, and our virtual analyst takes that to an entirely new level.”

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Omada Receives Dual Recognition as Leader and Emerging Innovator in QKS Group’s SPARK Matrix™ for Identity Governance & Administration (IGA)

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Omada Receives Dual Recognition as Leader and Emerging Innovator in QKS Group's SPARK Matrix™ for Identity Governance & Administration (IGA)

Omada A/S (“Omada”), a global leader of Identity Governance and Administration (IGA), announced its dual recognition as a Leader and Emerging Innovator in the QKS Group SPARK Matrix™: Identity Governance and Administration, Q4 2025. The report evaluated leading IGA vendors based on their technology excellence and customer impact, highlighting Omada’s innovation, hybrid flexibility, and process-oriented implementation approach.

Omada empowers organizations to secure user access, automate identity lifecycle management, and maintain regulatory compliance across cloud, hybrid, and on-premises environments. The Omada platform delivers advanced features, including access request workflows, role-based access control, and detailed analytics to mitigate security risks. By streamlining identity management, Omada supports efficient operations and robust security for enterprises worldwide.

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QKS Group highlighted the following key strengths behind Omada’s leadership position:

  • The Cloud Application Gateway enables secure, outbound connectivity from on-prem systems to Omada Identity Cloud and supports Bring Your Own Key (BYOK) functionality for governance, compliance, and minimized exposure risk.
  • Javi, Omada’s conversational AI assistant, enables natural language execution of identity governance tasks like access requests, approvals, certifications, and reporting.
  • Omada Identity Cloud leverages a cloud-native, event-driven microservices architecture to process incremental identity changes in near real time, reducing privilege drift and enforcing governance faster.
  • Continuous reconciliation/delta-calculation model compares actual and desired identity states in near real time, updating compliance dashboards and KPIs instantly to detect orphan accounts, rogue entitlements, and unauthorized access faster than traditional batch-based models.
  • ML/AI-assisted role analysis and recommendation capabilities accelerate role modeling, reduce manual maintenance, and generate role structures from observed entitlement patterns.

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“Given the rise of AI in an enterprise setting, IGA is becoming more crucial than ever to reduce the attack surface created by ungoverned, non-human identities,” said Michael Garrett, CEO of Omada. “This acknowledgment reflects our commitment to helping customers simplify and secure identity governance in an era where human and non-human identities are both critical to enterprise resilience.”

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When Regulation and AI Converge: SymphonyAI Joins the FCA Supercharged Sandbox to Pioneer Responsible Fintech Innovation

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SymphonyAI joins the FCA’s new Supercharged Sandbox to advance explainable, responsible AI innovation for UK financial services

SymphonyAI, a global leader in Vertical AI product platforms, has been selected to participate in the UK’s Financial Conduct Authority’s (FCA) Supercharged AI Sandbox, a new initiative enabling firms to safely develop and test advanced AI technologies using NVIDIA (NVDA) accelerated computing within a supervised regulatory environment.

SymphonyAI Financial Services was selected following a competitive application process that evaluated proposed use cases for innovation potential, technical feasibility, and regulatory impact.

Running from September 2025 to January 2026, the Sandbox offers a secure, structured environment for experimentation on next-generation AI use cases. SymphonyAI is developing an AI agent concept powered by small language models and reinforcement learning, designed to advance the intelligence and autonomy of financial services agents. If successful, the innovations developed in the Sandbox will be incorporated into SymphonyAI’s portfolio of intelligent financial services agents, further enhancing how financial institutions accelerate risk detection, improve compliance, and reduce investigation time.

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“SymphonyAI has long been at the forefront of AI innovation in regulated industries,” said Jason Shane, Head of Product, Strategy and Innovation, Financial Services, SymphonyAI. “Our participation in the FCA’s sandbox programme underscores our leadership in Financial Services AI and our commitment to advancing responsible, explainable innovation. By incorporating these next-generation learnings directly into our AI agents, we’re giving customers the fastest, safest way to access the most advanced AI capabilities available, ensuring they stay ahead in risk management, compliance, and operational performance.”

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Through its participation, SymphonyAI aims to:

  • Incubate a new AI innovation to benefit the financial crime risk and compliance community;
  • Accelerate the integration of next-generation AI agent capabilities, combining generative models, reinforcement learning, and domain-trained models, into our Sensa Risk Intelligence platform and broader Financial Services portfolio;
  • Collaborate with the FCA and industry peers to establish trusted and explainable AI innovation(s), that improve(s) the accuracy of outcomes and can securely scale in highly regulated financial services environments.

The 12-week program will culminate in showcase days on 28–29 January 2026 in London, where participants will present their innovations to regulators, financial institutions, academia, consultancies, and government representatives.

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Unity and Epic Games Together Advance the Open, Interoperable Future for Video Gaming

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Unity and Epic Games Together Advance the Open, Interoperable Future for Video Gaming

Unity developers will be able to bring their games to Fortnite and Unity’s enhanced commerce platform will come to Unreal Engine

Unity and Epic Games announced they are working together to bring Unity games into Fortnite, creating more opportunity and value for players and developers. Developers will have the ability to publish Unity games into Fortnite, one of the world’s largest gaming ecosystems with more than 500 million registered accounts worldwide, and participate in the Fortnite Creator Economy.

“We’re excited to partner with Epic Games to create more opportunities for game developers around the world,” said Matt Bromberg, President and CEO, Unity. “Choice and open systems create growth for everyone in the gaming ecosystem.”

Also announced at Unite, Unity’s Annual Developer Conference, Unity will be bringing Unreal Engine support to their cross-platform commerce platform. This will give Unreal developers more choice for managing everything from their digital catalogs and payment providers to web shops across PC, mobile, and web. Developers will be able to manage pricing, promotions, and live operations with Unreal Engine, coming early next year.

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“We’re excited to partner with Epic Games to create more opportunities for game developers around the world,” said Matt Bromberg, President and CEO, Unity. “Choice and open systems create growth for everyone in the gaming ecosystem.”

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“Just like the early days of the web, we believe that companies need to work together in order to build the open metaverse in a way that’s interoperable and fair,” said Tim Sweeney, Founder and CEO of Epic Games. “Working alongside Unity we’re helping developers build fun games, reach bigger audiences, and find success.”

Additional details about this partnership and product timing will be shared next year.

Unite brings together over 1,500 developers for technical sessions, networking, and hands-on learning. The Keynote will be livestreamed here at 10am CET , with the recorded sessions available soon after on Unity’s YouTube channel.

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Charter Communications Announces Strategic Collaboration with AWS on Generative AI to Transform Software Development and Operations

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Charter Communications Announces Strategic Collaboration with AWS on Generative AI to Transform Software Development and Operations

Charter Adopts GitLab Duo with Q Developer to Accelerate Innovation for Spectrum Customers

Charter Communications, Inc. announced a strategic agreement with Amazon Web Services (AWS) that establishes AWS as one of Charter’s strategic GenAI providers. This comprehensive agreement will transform Charter’s software development capabilities and operational efficiency through advanced artificial intelligence solutions.

As part of this new collaboration, Charter has standardized its software development processes to leverage GitLab Duo with Amazon Q Developer, AWS’s most capable generative AI-powered assistant for building, operating, and transforming software development. The platform features agentic coding experiences and advanced capabilities for managing data and AI/ML workloads. GitLab Duo with Amazon Q Developer will enable Charter to accelerate new features and software development, directly enhancing experiences for Spectrum Internet, TV and Mobile customers.

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“Innovative technology from AWS provides opportunities to both leverage developer tools and build agentic solutions across the company,” said Jake Perlman, Executive Vice President, Chief Technology and Information Officer at Charter Communications. “AWS technology enables us to develop AI-powered solutions that enhance our capabilities, ultimately improving customer experience, employee experience, and the overall performance and reliability of our services. We look forward to continued collaboration with AWS applying AI across our business.”

The strategic collaboration extends beyond software development, with both companies working together to implement agentic AI solutions across Charter’s operations. These initiatives are designed to deliver exceptional experiences, reliability, and connectivity to Spectrum residential and business customers as well as employees.

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“Q Developer represents the cutting edge of AI-powered software development, enabling developers to build faster and more efficiently than ever before,” said Jan Hofmeyr, VP, Telecommunications at AWS. “We’re excited to see Charter leverage Amazon Q Developer’s capabilities and access to Claude Sonnet 4.5, and we look forward to introducing them to additional solutions like Kiro, our AI companion offering that further enhances the development experience. This collaboration demonstrates how generative AI can transform enterprise software development at scale.”

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Sendbird Launches Delight.ai, the First Branded AI Concierge Built on Long-Term Memory

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Sendbird Launches Delight.ai, the First Branded AI Concierge Built on Long-Term Memory

Powered By Sendbird Trust OS, Delight.ai Delivers Unmatched Personalized, Predictive Customer Experiences That Remember, Anticipate, and Drive Lifetime Value

Sendbird Inc., the AI customer experience company powering conversations for over 300 million people every month, launched Delight.ai, the first branded AI concierge built on long-term memory. Delight.ai is designed for enterprises to deploy their own personal AI agent across every customer touchpoint, including in-app chat, voice, SMS, email and social, where it can remember, contextualize, anticipate and act on behalf of a brand.

With 62% of consumers now preferring automated support over waiting for human agents, and 75% of service and support leaders reporting increased budgets for AI initiatives compared to last year, AI-powered customer support has become the most critical revenue-generating center for brands. Yet, most AI agents today are reactive, losing conversation history the moment they end, and forcing customers to repeat themselves across channels. The result is broken experiences that erode trust and drive customers away.

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“The reactive nature of conventional AI agents fails customers, creating a lack of confidence and limiting a brand’s potential and revenue stream,” said John Kim, co-founder and CEO of Sendbird. “In the AI economy, brands must evolve beyond transactional interactions to deploy agents that remember, anticipate and act autonomously. With Delight.ai, we are introducing the branded AI concierge, where success is driven by enduring memory and predictable customer lifetime value, not just service speed. Built on over a decade of communications expertise and governed by our proprietary Trust OS, Delight.ai delivers experiences that are personal, present and trustworthy, shifting customer engagement from cost center to competitive advantage.”

Delight.ai is the industry’s first branded AI concierge and connects with customers through a single, intelligent agent built on three strategic pillars:

  • Persistent memory across all interactions: Absorbs signals from every conversation and action to form an evolving understanding of customers. This foundation enables hyper-personalization that adapts over time and goes far beyond static CRM data;
  • Omnichannel continuity and proactive engagement: Maintains context as customers move between chat, SMS, email and voice. When engagement stalls or customers switch channels, it proactively re-engages with them to keep conversations current; and,
  • Enterprise-grade trust and governance: Built on Sendbird’s proprietary Trust OS, users have full observability, control and policy enforcement. Every response is traceable and each action stays within brand parameters, helping instill confidence to scale their AI agents safely.

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“Delight.ai has transformed the way we think about and use AI at Hanssem,” said Eugene Kim, CEO of Hanssem Furniture. “Not only do customers expect personalized interactions every time they reach out to speak with us, but they also want to feel remembered and understood – and Delight.ai delivers that. Since adopting it, we’ve been able to accurately engage customers on the first touchpoint 90% of the time and customers have been surprised by how natural the experience feels.”

Delight.ai is available now to mid-market and enterprise brands across retail, travel, on-demand services, B2B SaaS, fintech and healthcare. The platform is designed for businesses looking to deploy a branded AI concierge supporting engagement throughout the customer lifecycle, from sales and marketing, to support and ongoing loyalty conversations, turning customer experience from a cost center into a competitive advantage and revenue driver.

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Application Modernization Joins Caylent Accelerate™ Portfolio Delivering Engineering Velocity with Agentic Fleets

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Application Modernization Joins Caylent Accelerate™ Portfolio Delivering Engineering Velocity with Agentic Fleets

Latest Accelerate™ offering enables enterprises to rewrite and refactor legacy applications up to four times faster than traditional methods

Caylent, an AWS Premier Tier Services Partner and AWS GenAI Solutions Partner of the Year and AWS Application Modernization Partner of the Year winner, announced the launch of Caylent Accelerate™ for Application Modernization. This new agentic fleet–driven modernization system enables enterprises to modernize legacy applications on AWS with dramatically greater speed, predictability, and engineering efficiency.

Built on Amazon Bedrock, AWS Transform, and Caylent’s proprietary agentic orchestration framework, Caylent Accelerate uses coordinated fleets of AI agents working under expert architectural oversight to execute modernization across the entire software development lifecycle (SDLC). From code analysis and architecture design to code generation, automated testing, and deployment automation, the system delivers consistent, secure, and predictable modernization outcomes.

“Enterprises are looking for a faster and more predictable way to modernize while preparing their teams for the era of AI,” said Lori Williams, CEO of Caylent. “Caylent Accelerate brings together our architectural expertise and orchestrated AI agents to deliver high-quality modernization outcomes at speed. It also equips customers with AI-SDLC practices that enable their engineering organizations as they evolve into AI-native enterprises”

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Part of a Holistic Modernization Program to Enable AI Transformation

Caylent Accelerate™ for Application Modernization is part of a comprehensive approach that enables enterprises to modernize, adopt AI-enabled delivery practices, and operate successfully on AWS. In addition to Caylent Accelerate™, Caylent provides Application Modernization Strategy with deep specialization in rewriting SaaS products, along with AI-SDLC enablement and organizational change management to prepare teams for agentic development practices. Additionally, Caylent Managed Services support secure, reliable, and continuously optimized cloud operations.

Together, these capabilities deliver organizations an holistic modernization program that accelerates delivery, builds internal capability, and enables sustained competitive advantage in a rapidly evolving market.

Accelerated Modernization Execution

With Caylent Accelerate™ for Application Modernization, enterprises can execute the most complex rewrite and refactor modernization paths, up to four times faster than traditional methods while improving test coverage, reducing engineering effort, and maintaining compliance and production readiness.

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Caylent Accelerate™ for Application Modernization provides:

  • AI-powered assessment to decompose legacy applications into business features and functional requirements, enabling accurate planning and modernization path selection
  • Full rewrites to modern, cloud-native architectures
  • Refactoring and microservice extraction to optimize performance and maintainability
  • Framework and language upgrades including .NET, Java, and other enterprise platforms
  • Automated CI/CD, testing, and observability integration to ensure reliability and continuous improvement
  • Human-validated quality checks and secure deployment practices to maintain compliance and production readiness

The offering provides fixed-fee options and predictable delivery models designed to reduce modernization risk and minimize business disruption.

“The Caylent Accelerate™ assessment went far beyond documentation. It provided an AI-assisted blueprint that clearly defined the modernization path ahead,” said David Ramsey, Head of Architecture at Cubic. “Seeing how Caylent’s agentic delivery model can compress what once required multiple teams into the work of a single coordinated team of architects and AI agents gives us confidence that this approach will accelerate our own journey. We see it as the new standard for modernizing complex, mission-critical systems.”

Expansion of the Caylent Accelerate™ Portfolio

The introduction of Caylent Accelerate™ for Application Modernization expands the Caylent Accelerate™ portfolio, which includes offerings for cloud migration and database modernization. Each offering applies Caylent’s agentic delivery approach, leveraging AWS services to deliver modernization at scale. This expansion reflects growing enterprise demand for modernization solutions that combine expert engineering with automation and predictable commercial models.

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Digital Media Is Transforming How Brands Approach Localization

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Digital Media Is Transforming How Brands Approach Localization

urvey Shows Rising Demand for AI-Enabled Tools That Balance Speed, Tone and Brand Voice

A new survey from Santa Cruz Software reveals how the rise of digital and social media marketing is reshaping the way global brands approach translation and localization. While translation focuses on converting text between languages, localization adapts creative content to specific markets to ensure cultural fit. As content production accelerates across markets and platforms in today’s digital-first landscape, creative teams are under increasing pressure to deliver localized materials that are both faster and more on-brand.

The survey included responses from over 300 designers and marketers who create content for global or multi-lingual audiences. More than 60% of respondents say translations now need to match brand tone and voice more closely, while 56% report producing localized content more frequently due to the growth of digital and social channels.

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How Teams Work Today
The survey found that most organizations still rely on a mix of manual and semi-automated workflows. Despite the proliferation of automated translation tools, 45% percent of respondents use fully manual translation, 39% use semi-automated processes that combine translation memory with human review, and 16% rely on fully automated systems with limited human review. When evaluating translation vendors, respondents reported their top priorities were speed, accuracy and technology integration.

Current Challenges
Despite improvements in automation, teams continue to face challenges maintaining brand consistency across languages. Over half struggle with context accuracy (57%) and with maintaining tone (55%). Respondents also report difficulties with translation memory (TM) systems, which store and reuse pre-approved translations for repeated phrases or terms. Although TM remains effective, its limitations become more apparent for teams with complex localization needs. Over half (56%) say TM systems are difficult to manage or update, and 43% find them too rigid or literal.

AI’s Expanding Role
The findings show overwhelming optimism around artificial intelligence as the next step in translation and localization. An overwhelming 98% of respondents believe AI can enhance translation quality and time to market. The top features teams want most from AI-assisted tools include automatic layout adjustment (64%), improved tone and voice adaptation (60%), and integration with design tools (35%).

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Balancing Innovation and Trust
While enthusiasm is strong for AI-powered translation and localization, respondents also cited key concerns. Their top concern was inaccurate translations (39%), followed by data security and privacy (31%), and and finally over-reliance on automation (11%).

“The results show that creative and marketing teams are adapting to localization demands as digital media accelerates the need to create content more quickly,” said Mark Hilton, CEO of Santa Cruz Software. “There is a need for smarter, more integrated tools that assist designers. We believe the future lies in a hybrid approach—combining the structure and consistency of TM with the contextual intelligence of AI, teams can achieve faster, more nuanced, and brand-accurate results directly within their creative tools.”

The results point to a growing need for hybrid solutions that augment translation memory, combining its proven consistency with the nuance, speed, adaptability, and contextual awareness of AI. Together, these innovations are making localization more intelligent, integrated, and brand-aligned within the creative tools teams already use.

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Iron Software Reports Surge in Demand for Compliance-Ready C# PDF Generator Technology as AI Laws Reshape Documentation Requirements

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Iron Software Reports Surge in Demand for Compliance-Ready C# PDF Generator Technology as AI Laws Reshape Documentation Requirements

IronPDF’s enterprise-grade C# PDF generator becomes mission-critical as companies prepare for stricter AI liability, transparency, and digital replica regulations

Iron Software, a global provider of high-performance developer tools, is experiencing accelerated adoption of IronPDF, its flagship C# PDF generator, as organisations reassess how they document and verify AI-generated content. With AI systems producing personalised conversations, recommendations, and digital likenesses at scale, businesses are confronting a new operational challenge: creating unchangeable, legally defensible records of every interaction.

“Most companies are underprepared for what’s coming,” said Cameron Rimington, CEO of Iron Software. “When an AI system produces a message, simulates a voice, or renders a digital human, that output can be used as evidence. Our C# PDF generator gives businesses the ability to record that information in a way that is immutable, cryptographically sealed, and admissible.”

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Why Documentation Suddenly Matters So Much

Regulators worldwide are introducing frameworks for AI accountability, automated decision-making transparency, and protection against unauthorised digital likeness reproduction. One example is California’s SB 683, which extends rights of publicity to include AI-generated “digital replicas,” requiring organisations to demonstrate what their systems produced — and when.

While this law is important context, the broader trend is even more consequential: companies must now maintain verifiable audit trails for AI.

This is driving a renewed focus on tools like IronPDF’s C# PDF generator, which enables organisations to capture:

  • Real-time AI conversation transcripts
  • Screenshots or rendered states of digital humans
  • Versioned model metadata and system configurations
  • User consent flows and automated response logs
  • Contextual information showing prompts, timestamps, and session data

These must be stored as tamper-proof, legally defensible PDFs, often meeting PDF/A archival standards and including digital signatures.

Technical Capabilities That Matter for AI Compliance

IronPDF’s C# PDF generator is engineered to meet the heavy documentation demands of regulated environments. Its capabilities include:

  • PDF/A compliance for long-term, court-admissible archiving
  • Cryptographic digital signatures that seal documents and prove authenticity
  • Advanced metadata embedding for model versioning, parameters, and system context
  • High-volume automated PDF generation without degrading AI system performance
  • Cross-platform.NET support for cloud, on-premises, and hybrid deployments

The result is a documentation system that allows legal, engineering, compliance, and audit teams to access precise snapshots of AI behaviour at any moment in time.

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Why Companies Are Choosing a Proven C# PDF Generator Instead of Building Their Own System

IronPDF has already been adopted by highly regulated sectors — banking, aviation, ESG compliance, healthcare — where documentation failures carry severe penalties. Green2View, a UN SME Climate Hub signatory and award-winning B Corp, relies on IronPDF’s C# PDF generator to create digitally signed ESG documentation that can withstand multi-layered audits.

The financial industry uses the same engine for SOX-compliant transaction records.
Healthcare organisations use it to maintain HIPAA-secure patient history logs.
Airlines deploy it for mandatory safety documentation.

“The compliance bar we see in AI mirrors what these industries have dealt with for years,” Rimington added. “That’s why companies gravitating toward a mature, reliable C# PDF generator makes so much sense. They don’t want to experiment with legal risk.”

How AI Teams Are Actually Implementing IronPDF

Engineering teams integrating IronPDF are using the C# PDF generator to automatically build comprehensive AI audit trails:

  1. Immediate Capture
     AI-generated text, voice transcripts, or visual outputs are converted into PDFs in real time the moment they occur.

  2. Context Preservation
    Teams embed model identifiers, temperature settings, fine-tune versions, and system state metadata so the record reflects how the AI produced the output.

  3. User Interactions
    Consent forms, disclaimers, and automated statements are dynamically generated using the C# PDF generator, creating an end-to-end evidence chain.

  4. Visual Documentation
    Screenshots of avatars, digital replicas, or rendered scenes are packaged with textual logs in a single, sealed PDF.

  5. Scalable Archiving
    IronPDF’s performance allows systems to process millions of AI interactions a day without slowing response times.

Industry Response and What Happens Next

The developer community has begun treating auditability as part of responsible AI deployment. This shift isn’t limited to California: policy discussions in the EU, Australia, Korea, Singapore, and Canada indicate that similar digital likeness and AI accountability laws are imminent.

Enterprise architects who already use IronPDF’s C# PDF generator in financial or medical environments are finding AI documentation straightforward because the compliance principles are nearly identical.

“When GDPR hit, companies scrambled,” Rimington noted. “When ESG reporting standardised, companies scrambled. But this time we’re seeing early adoption because people understand the stakes. AI documentation isn’t optional anymore — it’s a matter of legal survival and consumer trust.”

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Telmai Announces Data Reliability Agents for Microsoft Fabric and OneLake

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Telmai Announces Data Reliability Agents for Microsoft Fabric and OneLake

Telmai Data Reliability Agents continuously monitors, validates and enriches data in Microsoft OneLake, delivering high-quality, trusted data to users and AI agents.

Telmai, the AI-powered data observability platform, announced its partnership with Microsoft to make it easy for Microsoft Fabric users to detect and resolve data quality issues in their lakehouse.

Agentic AI requires low-latency and real-time access to validated, contextual data. This forces a significant shift in how organizations monitor, detect, and resolve quality issues.

Telmai enables data teams to monitor and detect issues as close to the source as possible, maintaining low-latency access to validated, context-rich data, in the Lakehouse for analytics and AI.

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“As data architectures evolve toward more composable and agentic systems, ensuring data reliability is no longer optional, it’s table stakes,” said Mona Rakibe, Co-founder and CEO of Telmai. “By validating data at the source and providing real-time trust signals for both humans and AI agents, Telmai ensures data in OneLake is validated, contextual, and explainable.”

Telmai’s integration with OneLake allows users to continuously monitor and validate structured, semi-structured, and unstructured data as it lands, ensuring low-latency access to validated data in OneLake.

Telmai’s engine enables users to implement custom validation checks and alert policies tailored to their business logic, detecting data inconsistencies and anomalies in real-time.

Decentralized Data Trust Across the Fabric Ecosystem

Telmai extends data trust across the Microsoft Fabric ecosystem by leveraging its AI-powered Data Reliability Agents, making data quality insights accessible to both technical and business users across distributed data domains.

These agents allow users to query incidents, interpret anomalies, and deploy data monitors through plain language commands. By providing clear, contextual explanations of root causes of data quality incidents, Telmai accelerates issue resolution and shortens the time between detection and remediation.

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This democratized approach reduces reliance on engineering teams and ensures that critical data quality insights remain accessible and actionable for all relevant stakeholders. As a result, enterprises can accelerate time-to-value while expanding trust in data across analytics, governance, and AI workflows within Microsoft Fabric.

“Accurate and trusted data is critical to the success of any analytics and AI project,” said Dipti Borkar, VP & GM of Microsoft OneLake & ISV Ecosystem at Microsoft. “Telmai’s integration with OneLake enables customers to quickly and easily build AI-ready, trusted data products that are reliable, explainable, and scalable.”

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dKilo Launches Mobile Publisher App, Bringing Real-Time DOOH Control to the GCC

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dKilo Launches Mobile Publisher App, Bringing Real-Time DOOH Control to the GCC

dKilo, the leading Programmatic Digital Out-of-Home (pDOOH) advertising platform, announced the launch of its Mobile Publisher App, a new mobile companion that gives advertisers full control over their campaigns, anytime, and anywhere.

The app mirrors the functionality of dKilo’s web-based Publisher Platform, empowering advertisers to track impressions, analyze performance, and optimize campaigns in real-time, directly from their smartphones. It is currently available on the Google Play Store for Android and the Apple App Store for iOS.

With the rollout across GCC, dKilo continues to redefine outdoor advertising in Saudi Arabia -and soon in neighboring GCC countries- transforming digital billboards into smart, measurable, and data-driven marketing tools.

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Real-Time Transparency in Motion

The Mobile Publisher App is built for marketers who demand clarity and control. It provides live visibility into every campaign, including hourly updates on key performance metrics such as:
Total Impressions and Display Time
eCPM (Cost per Thousand Impressions)
Distance Covered per Campaign
Live Vehicle and Route Tracking

Advertisers can now make data-backed adjustments mid-flight, ensuring every ad loop and impression drives value.

“We’ve taken everything brands love about the Publisher Platform and put it in their pocket,” said Mohamed Mousa, CEO of dKilo. “Advertisers can now see their campaigns live, track performance on the go, and make instant optimizations, all from their phone. This is the future of DOOH control.”

The Next Step in Intelligent Outdoor Advertising

The launch of the Mobile Publisher App marks a major milestone in dKilo’s mission to make Digital Out-of-Home advertising more transparent, measurable, and performance-driven.

By integrating live geo-intelligence and audience movement data, dKilo enables advertisers to target audiences where they actually move — not where they might be.

“Our goal has always been to merge the intelligence of digital marketing with the scale of outdoor media,” Mousa added. “With this mobile app, advertisers get full transparency, measurable results, and smarter campaign execution, all in real time.”

A Smarter, More Measurable DOOH Future

With more than 1.5 million daily impressions across its connected vehicle network, dKilo continues to lead the region’s DOOH transformation. The new app empowers brands and agencies to monitor fleet activity, performance reports, and zone-level engagement directly through their mobile devices.

The result is a programmatic, data-driven advertising ecosystem that aligns outdoor campaigns with today’s digital performance standards.
About dKilo

dKilo is a leading innovator in Programmatic Digital Out-of-Home (pDOOH) advertising across the Middle East.
Through its fleet-powered displays, AI-integrated Publisher Platform, and real-time analytics tools, dKilo enables brands to execute high-impact, measurable, and hyper-local campaigns with full transparency.

Operating across Dammam and Khobar, dKilo is redefining outdoor advertising by combining digital precision with real-world reach, delivering campaigns that are dynamic, data-led, and impossible to ignore.

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Catsy Becomes the First PIM to Launch Model Context Protocol Integration (MCP)

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Catsy Becomes the First PIM to Launch Model Context Protocol Integration (MCP)

Catsy

Catsy launches first PIM with MCP integration, enabling manufacturers to manage product data through AI conversations.

Catsy PIM & DAM announced they’ve launched their Model Context Protocol (MCP) integration. MCP integration allows manufacturers to talk to their product catalogs using everyday language through popular AI models including Claude, ChatGPT, and Perplexity.

What This Means for Manufacturers
The new integration enables manufacturers to talk to product catalogs using natural language and work directly with Claude, ChatGPT, and Perplexity. Teams can update product specs through simple AI conversations and generate marketing materials automatically from product data.

How MCP Integration Transforms Product Data Management
Manufacturing companies face constant pressure to maintain accurate product information across multiple channels while accelerating time-to-market. Catsy PIM MCP integration addresses these challenges head-on.

We’re transforming how manufacturers interact with their catalogs,” said Ceejay S Teku, CEO of Catsy. “Teams can now use everyday language to get instant results.”

— Ceejay Teku, Founder & CEO of Catsy

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The integration delivers speed by creating content in minutes instead of hours. It ensures accuracy by pulling data directly from your Catsy PIM database. The solution provides simplicity through conversational AI instead of complex software navigation, and boosts efficiency by generating content for multiple channels simultaneously.

Users can ask AI to grab product information for LinkedIn posts, update product descriptions across all channels, write technical documentation automatically, make bulk adjustments to product listings, and create marketing materials using product specs.

Real-World Applications
“We’re seeing a big change in how manufacturing companies want to work with their data,” said Ceejay S Teku, CEO of Catsy. “Our MCP integration lets you actually have a conversation with your product catalog and get real results immediately.”

Manufacturing teams use the integration for product launch coordination, creating channel-specific product announcements instantly, pulling technical specifications and formatting them for different audiences, and coordinating messaging across multiple platforms.

For social media content creation, teams generate engaging LinkedIn content for sales teams, combine product information with industry trends, and create consistent messaging across social channels.
The system handles technical documentation updates by updating all related documentation when specs change, maintaining consistency across all channels automatically, and reducing manual documentation errors.

Teams also leverage the integration for competitive analysis, comparing products against competitors using live data, combining Catsy data with market intelligence, and generating competitive positioning materials.

Connected Ecosystem Integration
The MCP integration works seamlessly with essential business tools to create a complete workflow solution. Integrated tools include Canva for creating professional visuals automatically, HubSpot for automating marketing campaigns and scheduling, and multiple AI models with choices between Claude, ChatGPT, or Perplexity.

Here’s a real example workflow: A product manager can now say “Create a LinkedIn post announcing our new industrial valve series, grab the specs from Catsy, design a visual in Canva, and schedule it in HubSpot for next Tuesday.” What previously required multiple platforms and several hours now happens through one simple conversation.

Productivity Impact for Manufacturing Teams
This integration delivers significant productivity gains for manufacturing teams struggling to maximize their PIM investment.

The natural language interface allows all team members to interact with product data without technical barriers, using everyday language instead of complex queries. Cross-functional access means marketing, sales, and product teams all benefit from immediate results with answers and content generation in real-time.
Quality and compliance features include detailed audit trails for all AI interactions, complete version control tracking, manufacturing industry compliance standards, and data accuracy preservation across all activities.

Implementation and Availability
The Catsy MCP integration is immediately available to all customers. Supported AI models include Claude from Anthropic, ChatGPT from OpenAI, and Perplexity.

Implementation takes just a few minutes for existing customers with no additional software required. The integration works with current Catsy installations, maintains existing workflows during transition with zero disruption, and allows teams to adopt AI features at their own pace.

Security features include strong security controls protecting sensitive data, granular permission management, enterprise-grade data protection, and compliance with manufacturing industry standards.

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