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Domo Launches Domo MMM, an AI-Powered Marketing Measurement Service Built for Real Budget Accountability

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New AI Sidekick for marketers helps leaders identify true incremental impact, eliminate waste, and reallocate spend with confidence

Domo announced the launch of Domo MMM, a new AI-sidekick for marketers that powers measurement and is designed to help organizations understand which marketing investments are truly driving growth and which are not. Developed in collaboration with Stella Growth Intelligence, Domo MMM brings causal marketing measurement, scenario modeling, and AI-guided recommendations directly into the flow of business decision-making.

“Domo MMM gives teams shared, AI-generated proof they can trust. It turns marketing measurement from a retrospective exercise into a living, decision-making system.” – Mark Boothe, CMO at Domo

Marketing remains one of the largest and most scrutinized investments in business. Yet many organizations still rely on dashboards and attribution models that describe what happened without proving why. Domo MMM addresses this gap by using AI and Bayesian modeling to isolate causal impact, quantify incremental lift, and show how changes in spend will affect future revenue.

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From Attribution To Evidence

Rather than producing static reports or one-off studies, Domo MMM operates as an AI sidekick, continuously analyzing performance as data updates and delivering guidance through natural language interaction. Marketing and finance leaders can ask questions such as “Which campaigns are driving real incremental revenue?” or “What happens if we shift budget mid-quarter?” and receive evidence-backed answers, forecasts, and recommendations. It is a natural evolution toward the future intelligent enterprise.

“Marketing leaders are under pressure to defend spend with real financial evidence, not assumptions or correlations,” said Mark Boothe, chief marketing officer at Domo. “Domo MMM gives teams shared, AI-generated proof they can trust. It turns marketing measurement from a retrospective exercise into a living, decision-making system.”

Domo MMM connects securely to an organization’s existing data environment, bringing together media spend, sales performance, and external factors such as seasonality and pricing, with initial results showing up in as little as 10 minutes. Powered by Stella’s marketing intelligence, the service identifies underperforming spend, highlights opportunities for reallocation, and continuously improves accuracy as new data flows in.

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Unlike consultant-led marketing mix modeling projects, which are often slow, expensive, and static, Domo MMM runs continuously as software. Insights refresh automatically, allowing teams to adjust budgets mid-campaign and align faster across marketing, finance, and executive leadership.

“By combining Stella’s incrementality modeling with Domo’s orchestration and AI Service Layer, we’ve made sophisticated measurement accessible at software speed,” said Brenden Delarua, co-founder at Stella Growth Intelligence. “This is marketing intelligence that feels immediate, practical, and built for real-world decision-making.”

Built For Real-World Data

Built for enterprise use, Domo MMM can be deployed directly within Domo, run as a Snowflake Native App, or connect to Databricks through Domo’s integration framework. Customer data remains within the customer’s cloud environment, ensuring governance, security, and alignment with existing data policies.

Domo MMM includes intelligent scenario modeling that allows teams to test “what-if” budget shifts before committing spend, forecast revenue impact, and create shared accountability across the C-suite. The service is available now through Domo account teams, with a lighter version accessible via Snowflake Marketplace.

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Sinch Announces Strategic Partnership With Lovable to Power Communications for Ai-Native Applications

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Sinch Announces Strategic Partnership With Lovable to Power Communications for Ai-Native Applications

Sinch AB (publ) announced a strategic partnership with Lovable, the Sweden-based AI software creation platform, that will deeply integrate Sinch’s communications infrastructure into the Lovable Cloud, bringing simple and scalable communication tools to its global community of builders.

AI-native platforms are increasingly becoming the foundation for modern software. As applications move into production and begin acting in real-world environments, reliable communications become critical. For many teams, managing multiple communications providers adds unnecessary complexity that slows scale and execution.

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The partnership with Lovable positions Sinch as the trusted communications infrastructure for the AI economy, enabling users to focus on building intelligent experiences while relying on proven global omnichannel reach. Together, the companies will explore how communications capabilities can be embedded more natively into AI-driven applications over time.

“We are in the midst of a profound transformation in how software is built, with AI democratizing the ability for a new generation of builders to create powerful applications” says Laurinda Pang, CEO of Sinch. “For these innovations to succeed, they require a foundation of reliable, scalable, intelligent and trusted communications. Just as Sinch has been the communications backbone for the leaders of the cloud era, we are now positioned to power the AI pioneers of today. Our partnership with Lovable embeds our proven, global communications platform into the heart of the AI-native movement, ensuring that the next wave of software has the trusted execution layer it needs to change the world.”

The collaboration will begin with email, using Sinch’s Mailgun platform to evaluate how production-grade email capabilities can support users building on Lovable. The partnership is expected to expand into additional messaging and voice capabilities as it evolves, together with further internal and external Sinch app development on the Lovable platform.

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“For decades, software creation was gated by technical skill. That gate is coming down. The real bottleneck now is whether you have something worth building, not whether you can write code” says Anton Osika, CEO and cofounder of Lovable. “We see this across our customers, from solo founders to large organizations, as people with real domain knowledge move from ideas to working products. As creation becomes easier, the infrastructure around it has to be dependable. Partnering with Sinch gives builders access to communications that work globally in the background, so they can focus on shipping and scaling what matters.”

Lovable is used by users and startups building AI-powered applications that are increasingly moving from prototype to production. The partnership reflects Sinch’s broader focus on providing trusted, scalable communications infrastructure for modern software platforms, as AI-native applications reshape how businesses and customers interact.

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GenFlux Raises $4.2M as Brands Race to Own the AI Answer

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GenFlux Raises $4.2M as Brands Race to Own the AI Answer

GenFlux, a platform helping brands track and optimize how they appear in AI-generated answers, announced a $4.2 million seed funding round led by Symbolic Capital, with participation from Borderless Capital, Frachtis, Glasswing Ventures, Dispersion Capital, Delphi Ventures, and Radical Ventures.

More than 40% of Gen Z now use ChatGPT, Perplexity, and Gemini as their primary search tools. In a world where AI engines recommend products directly — with no page two — most brands have zero visibility into whether they’re being mentioned, how they’re being described, or what they can do about it.

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“In the age of AI search, there are no blue links — your brand either gets recommended or it doesn’t,” said a partner at Symbolic Capital. “GenFlux is building the essential infrastructure for brands to win in this new landscape.”

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GenFlux pioneers AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization), two emerging disciplines purpose-built for the AI search era. The platform includes:

  • Multi-Engine Tracking: Real-time brand monitoring across ChatGPT, Perplexity, Claude, Gemini, Copilot, Grok, DeepSeek, and Meta AI
  • Answer Rank Scoring: Proprietary ranking system measuring where brands appear in AI-generated answers relative to competitors
  • Query Intelligence: AI-powered discovery of the exact questions that trigger brand mentions, with optimization recommendations
  • Content Optimizer: Automated suggestions to restructure content for maximum AI discoverability and citation

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The Next Generation of Loyalty for 2026 and Beyond

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Len Covello
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The Next Generation of Loyalty for 2026 and Beyond

Loyalty programs once served as a marketing lever—earn points, redeem later—and are now rapidly evolving into a fully embedded, hyper personalized customer experience. As we look toward 2026, loyalty is shaped not just by points or perks at checkout, but in customer service, by how brands handle problems and recover from service failures. Tools like pay with points (PwP), including instant credits for issue resolution, can build confidence, drive engagement and strengthen customer relationships in an uncertain economy.

For retailers and loyalty technology providers alike, this shift is a great opportunity to move beyond simple earn and redeem programs and is a testament to the need to focus on how seamlessly and intentionally points can be integrated into the purchasing experience.

Loyalty Embedded in Payments

One of the most significant changes ahead is the deeper integration of loyalty into payment flows. Loyalty points as a form of currency drives purchasing power, and rather than redirecting customers to separate reward portals, retailers are embedding point redemption directly into checkout experiences for faster, easier redemption. In a recent report from Engage People and The Wise Marketer, over half of respondents indicated that they are gravitating toward programs that make redemption simple and immediate at the point of purchase.

Larger partnership networks that embrace this technology will also separate the winners in loyalty over the coming years. Retailers that continue to invest in loyalty experiences and participation in broader ecosystems allow programs to extend reach and relevance without sacrificing brand identity through cross-brand partnerships and leveraging points as a form of shared currency.

This approach of strong individual programs connected through interoperable networks will define the next phase of loyalty growth and heavily impact the next generation of loyalty technology.

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PwP Becomes Table Stakes

By 2026, PwP is expected to move firmly away from just a “nice-to-have” capability, particularly for financial services, credit card issuers and large retailers with established loyalty programs. Consumers increasingly expect the ability to use points like currency at checkout and in real time, with clear dollar value. Retailers that fail to meet this expectation risk appearing outdated or disconnected from customer needs, which can directly impact revenue and long-term customer loyalty.

As PwP becomes standard, differentiation shifts away from whether points can be redeemed at checkout to how and when redemption is offered. Personalization and simplicity will define leaders in the loyalty space.

Additionally, loyalty is no longer confined to earning points on purchases—it is increasingly intertwined with digital wallets and broader financial ecosystems. Especially as more people are leaving their physical wallets at home and using digital wallets and forms of Near Field Communication (NFC) payments like tap-to-pay, this convergence elevates PwP from a perk to a core element of loyalty and brand value proposition.

However, as PwP becomes more prevalent, loyalty programs face greater scrutiny. Points that act like payment require careful modeling. Redemption behavior, fraud exposure and margin impact all matter more than ever.

Brands must understand whether PwP drives incremental spend or merely shifts existing behavior. Questions around cannibalization, settlement costs and operational complexity are unavoidable. In 2026, loyalty is evolving from ‘earn more’ to ‘feel safer spending.’ Programs that help customers control costs, reduce purchase regret and manage budgets will win mindshare.

AI: The Accelerator for Smarter, More Personalized Loyalty Experiences

As it has across every industry, AI has been a key enabler to enhance loyalty programs. By 2026, AI-driven loyalty personalization will create true individualization for customer loyalty experiences.

AI-driven loyalty will help dynamically tailor redemption options, offers and even point valuation based on real-time context, including purchase behavior, location and timing. AI will also help automatically improve loyalty programs in real-time based on this data to personalize faster, encouraging customer engagement even further. Next year and beyond, AI will continue to be embedded into loyalty programs and deployed at enterprise scale, powering loyalty, payments and customer engagement simultaneously.

As data fuels personalization, privacy and trust become non-negotiable. Expanding regulations and rising consumer awareness are shifting power back to the customer. AI should enhance loyalty decisions, not replace human judgment. The most successful programs will use AI to anticipate customer needs while preserving human connection, ensuring consumers understand and benefit from how their data is used. Transparency in data usage and redemption value will be critical to maintaining long-term loyalty and avoiding member fatigue.

Bottom Line

As loyalty matures, customers will no longer tolerate friction, delayed gratification or unclear value when it comes to redeeming their earned rewards. They will expect immediacy, transparency and relevance at every touchpoint. This raises the bar for retailers and technology providers alike, requiring loyalty strategies to be built into the transactions themselves and optimized in real time.

The future of loyalty won’t always look like a program. It will feel like a natural benefit of doing business with a brand—quietly embedded, always available and effortless.

The loyalty programs that win in 2026 won’t ask customers to remember them; they’ll simply show up at the moment of decision. Points will behave like money, loyalty will feel like confidence, and brands that fail to embed value directly into transactions will quietly lose relevance.

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Brandwatch and Blackbird.AI Consortium Selected by NATO to Deliver Information Environment Assessment Capability

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Rutuja Khartode
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Brandwatch and Blackbird.AI Consortium Selected by NATO to Deliver Information Environment Assessment Capability Cision Brandwatch Logo (PRNewsfoto/Cision)

AI-enabled capability will support NATO with insight across complex information environments 

Brandwatch, a Cision company and a global leader in social intelligence and social media management, and Blackbird.AI, the global leader in narrative intelligence, announced that their consortium has been selected by the NATO Communications and Information Agency (NCIA), on behalf of the North Atlantic Treaty Organization (NATO), to deliver an advanced Information Environment Assessment Capability (IEAC).

The capability will provide secure, scalable, and AI-enabled tools to monitor, analyze, and interpret the information environment across public and commercially available data sources. Delivered as a bespoke, enterprise-wide social intelligence solution, it will combine media monitoring, sentiment analysis, and trend detection to support decision making across the NATO enterprise. The solution will help NATO assess and respond to evolving narrative threats, including the spread of disinformation and harmful narratives across complex digital eco-systems.

This initiative represents a significant milestone in Brandwatch’s long-standing collaboration with NATO and reinforces the consortium’s role as a trusted provider of mission-ready digital intelligence.  The capability is designed to integrate the most data coverage, with additional enrichments and support strategic communicators within the NATO’s Information Environment Assessment community to efficiently plan and analyse in a fast, fragmented and contested environment.

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To deliver the capability, the consortium brings together complementary technology and expertise from across Cision’s portfolio, including Trajaan, whose search intelligence technology reveals emerging trends and intent signals across global audiences. This is complemented by specialist partners Osavul and Converseon. Together, these capabilities will help NATO strengthen strategic communications, enhance situational awareness, and enable faster, more informed decision-making.

“We are honored to support NATO in this critical mission,” said Guy Abramo, Chief Executive Officer of Cision. “By combining world-class data coverage with next-generation AI and analytics, we are providing a more comprehensive and timely understanding of the information environment. This partnership reflects the strength of our technology and our shared commitment to helping organizations address the most demanding intelligence challenges.”

Brandwatch brings long-standing experience supporting government, defense, and public-sector organizations worldwide. Its solutions combine social and media data, advanced analytics, AI-driven insight, and rigorous compliance with data licensing and security standards—capabilities that underpin the consortium’s ability to operate at the intersection of technology, governance, and mission delivery.

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“Understanding the information environment is essential for effective planning and decision-making across the Alliance,” said Chris Riley, Head of Plans and Insights in the Office of Strategic Communications at NATO Headquarters. “This integrated Brandwatch and Blackbird.AI solution significantly enhances our ability to deliver data-driven insights at scale.”

“Blackbird.AI’s strategic collaboration with NATO over the past several years has provided critical analysis on harmful narratives impacting their operations,” said Wasim Khaled, CEO and Co-Founder of Blackbird.AI. “We are excited to partner with Brandwatch to provide even more actionable insight to NATO in their pursuit of safeguarding the freedom and security of all its members.”

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Qlik Brings Agentic Analytics to General Availability and Launches MCP Server for Third-Party Assistants

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Artificial Intelligence is Killing Cold Outreach: TANDA Digital Introduces NPOT Methodology™ To Reinvent B2B Outbound

Qlik

New capabilities in Qlik Cloud unify a unique analytics engine, curated content, and governed data products with transparent reasoning; MCP extends Qlik’s trusted intelligence into leading AI assistants

Qlik®, a global leader in data integration, data quality, analytics, and artificial intelligence (AI), announced the general availability of its agentic experience in Qlik Cloud®, delivered through Qlik Answers® as the unified conversational interface. Qlik also announced general availability of the Qlik Model Context Protocol (MCP) server, enabling third-party assistants including Anthropic Claude to securely access Qlik’s analytical capabilities and trusted data products.

Enterprises are moving past proofs of concept and into production deployments, where the bar is defined by trust, context, and accountability. Teams need systems that can work across structured analytics and unstructured content, preserve business logic, and show how conclusions were reached. Qlik’s agentic experience is built for that operating reality, pairing AI reasoning with context-preserving engine calculations, governed data, and transparent responses suitable for real decision workflows.

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In Qlik Cloud, the agentic experience adds four core capabilities:

  • Turn questions into governed, explainable answers. Qlik Answers engages an agentic framework to deliver analytical insights powered by the Qlik Analytics Engine and grounded answers from curated documents, including citations and explanations of reasoning.
  • Spot material changes early. Discovery Agent continuously monitors key measures and surfaces meaningful anomalies and shifts so teams can act before issues escalate or opportunities slip away.
  • Make trusted data reusable for AI and analytics. Data Products for Analytics provide curated, governed datasets with stewardship and quality signals, giving both humans and AI a reliable foundation for analysis and reasoning.
  • Extend Qlik into the assistants people already use. The Qlik MCP server exposes Qlik at the engine, tool, and agent levels, allowing third-party assistants such as Anthropic Claude to securely generate insights and work with governed data through Qlik’s APIs.

“In 2026, boards are navigating geopolitical volatility, tightening AI rules, and relentless cost pressure. That changes what enterprise AI has to be: auditable, governed, and able to act inside real workflows,” said Mike Capone, CEO, Qlik. “Qlik’s agentic experience pairs our unique analytics engine with trusted data products and cited knowledge, and our MCP server opens that intelligence to the assistants people already use. The result is faster decisions with controls you can defend.”

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Qlik’s approach is designed to help enterprises scale adoption without trading off control. The Qlik Analytics Engine preserves context during calculation, enabling more accurate reasoning over enterprise data than approaches that reduce questions to isolated queries. Combined with governed data products and cited retrieval from curated knowledge bases, Qlik gives teams a practical way to use AI in decisions that require traceability.

“AI delivers value when it’s built on data that’s already curated, governed and trusted,” said Mike Krut, senior vice president of information technology, Penske Transportation Solutions. “Qlik’s new agentic capabilities extend analytics our teams already use, helping connect insights directly to operational workflows like fleet performance and maintenance, without adding complexity.”

“The move from copilots to reasoning systems exposes a critical gap in governed context and explainability for many enterprises,” said Michael Leone, Practice Director and Principal Analytics and AI Analyst, Omdia. “Success now requires connecting trusted data directly to operational workflows with full auditability. Qlik is addressing this by pairing its analytics engine with MCP, effectively establishing the intelligence layer that agents and assistants need to operate across ecosystems.”

Qlik’s agentic strategy is designed to expand over time, with additional agents planned across data pipelines, data quality, and stewardship, and plans to support additional AI tools and assistants through MCP throughout the year, further extending how teams move from insight to action while staying within enterprise governance and risk controls.

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Intuit Mailchimp Unlocks a New Era of Profitable Ecommerce Marketing with Advanced, Data-Driven Capabilities

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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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Built to deliver ROI for less cost, Mailchimp now combines unified data with powerful automation across email and messaging

Product innovations available in 185 countries and territories across North America, Latin America, EMEA and APAC

SMS launching in 34 new markets across EMEA including Belgium, Sweden, Denmark, Norway, Finland, Portugal, Greece, Poland and more

Intuit Inc. , the global financial technology platform that makes Intuit TurboTax, Credit Karma, QuickBooks, and Mailchimp, announced a set of Mailchimp product innovations that unlock profitable growth for ecommerce businesses. Powered by the Intuit platform, the enhancements include more ways for merchants to connect their data and activate omnichannel campaigns driving up to 30x ROI for ecommerce customers1 without the added price or complexity.

Email remains a core revenue driver for 69% of marketers, but maximizing its impact increasingly depends on unified data and automation that help teams focus investment on what works and drive measurable growth.

For small and mid-market online sellers, customer acquisition and growth are becoming harder to measure and optimize. Only 33% of marketers say their pre-opt-in messaging is highly aligned, making it difficult to see which efforts drive orders and where revenue is being lost. Without a unified view of their data, merchants lack clear attribution and ROI insight. Email remains a core revenue driver for 69% of marketers, but maximizing its impact increasingly depends on unified data and automation that help teams focus investment on what works and drive measurable growth.

“Ecommerce marketers are under pressure to show every campaign’s impact on revenue,” said Diana Williams, VP of Product, Intuit Mailchimp. “With this release, Mailchimp customers will reap the benefits of 26% more ecommerce triggers—bringing advanced data, automation, and analytics into a single platform helping businesses execute quickly, run sophisticated campaigns, and see exactly how their marketing drives ROI.”

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New capabilities designed for ecommerce growth

The newly-introduced capabilities directly address the core problems ecommerce businesses report : limited time, lack of marketing expertise, uncertainty about ROI, and fragmented data across multiple platforms.

  • Turn data into sales: Building on the enhanced Shopify integration, Mailchimp’s Site Tracking Pixel and new connections to reviews platforms like Yotpo and Judge.me pull consented ecommerce and sentiment data into one place. Marketers can build smarter segments (such as high-value buyers, at-risk customers, or shoppers likely to purchase next) and power advanced automations without stitching together multiple tools.
  • Reach customers across channels and tie campaigns directly to sales: Expanded SMS coverage across Europe2, SMS instant opt-in via popups, and unique discount codes in SMS automations and forms help brands reach their customers across the world on mobile while helping enable consent collection and precisely tracking which campaigns drive orders. Enhanced transactional messaging through a unified API lets developers trigger critical notifications while marketers manage on-brand content in Mailchimp.
  • Know what’s working and optimize with confidence: A revamped omnichannel marketing dashboard unifies email, SMS, automation performance, and ecommerce events in a single view. Marketers can see which messages and journeys are generating revenue, where customers are dropping off, and how to optimize spend across channels.
  • Migrate to Mailchimp without slowing down: New migration tools and ecommerce-specific support make it easier for customers moving to Mailchimp to bring over contacts, segments, templates, and key flows with minimal downtime.
  • AI that goes from insight to execution: Mailchimp turns your data into action with predictive analytics to spot high-value and at-risk customers, AI-powered tools to quickly build on-brand content and reusable templates, and a ChatGPT integration that helps you create, refine, and launch data-backed omnichannel campaigns across email, SMS, and automations.

Demonstrated ROI for ecommerce businesses

Mailchimp already delivers measurable results for ecommerce customers, and the new capabilities are built to amplify that impact. Consider Gruppo Terroni, a hospitality group based in Toronto and Los Angeles that used Mailchimp’s ecommerce automations with their Shopify-connected store to target lapsed wine club members. Their single segmented campaign, which offered instant access to a library of wine guides, resulted in a 77% open rate and a 28% click-through rate, driving $8,000 in monthly recurring revenue.

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Accessing these tools by switching to Mailchimp is easier than ever. “I was so blown away,” says Ali Mann of Kaylin + Kaylin Pickles, a Mailchimp customer that switched from Klaviyo in 2025 to reduce costs and access more strategic support. The brand’s first campaign was live in under a month and their open rates more than doubled.

Ecommerce customers reported an average of 16 hours saved per week after implementing Mailchimp3, while Mailchimp SMS ecommerce users saw up to 22x ROI4 after launching their first SMS Marketing campaign. And Mailchimp customers that connect their accounts with Shopify are seeing up to a $41 return on investment for every dollar spent with Mailchimp5.

“We’re a global business available in nearly every country across the world, and we’re delivering incredible ecommerce innovation that delivers real ROI,” said Ciarán Quilty, Senior Vice-President for International, Intuit. “We’re giving small and mid-size businesses connected data, automation and AI that simply work together, so switching to Intuit Mailchimp isn’t just the easy choice , it’s essential for their growth tomorrow.”

By tying advanced marketing capabilities to commerce outcomes and Intuit’s broader financial platform, Mailchimp helps digital-sales businesses not only run better campaigns but also operate more profitable, data-driven companies.

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Upland Panviva’s Sidekick Unveils AI Conversational Search to Elevate Enterprise Knowledge

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Expanded MadCap Syndicate Intelligent Content Delivery Platform Brings Next-Level AI Enablement to Corporate Content

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Upland Software, Inc., a leader in AI-powered knowledge and content management software, announced the launch of AI Conversational Search for Upland Panviva Sidekick, a browser-based assistant that transforms how enterprises retrieve knowledge. By combining natural language processing with trusted organizational data, this release solves the critical challenge of balancing AI efficiency with strict regulatory compliance.

Panviva Sidekick’s new AI Conversational Search allows frontline agents – from credit union bank tellers to healthcare patient access directors – to ask questions in plain English, just as they would a colleague, and receive immediate, accurate responses to questions. The tool builds upon an organization’s existing, human-approved, compliance-driven knowledge base by leveraging a hybrid model of Retrieval Augmented Generation and Large Language Models. This approach significantly reduces the risk of AI hallucinations common in open-ended models, ensuring that agents in highly regulated sectors such as healthcare, finance, and utilities receive only verified, policy-compliant information.

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“Complex policy changes, driven by large-scale legislative shifts are changing the landscape for healthcare organizations and financial institutions, highlighting the critical need for AI-enabled technology in contact centers that are rooted in trust,” said Dan Doman, Chief Operating and Product Officer at Upland. “AI Conversational Search gives frontline teams access to instant, compliant answers, so they have the trusted information they need right when it matters most. By adopting AI-enabled solutions, organizations can keep their contact centers current, compliant, and scalable to meet growing demands—truly a game changer for the future of service excellence.”

Security and governance remain a central focus of Panviva’s latest release. Unlike broad AI tools that may expose sensitive data, Sidekick respects existing permission structures. Agents are only served answers derived from content they are authorized to view. This distinct “human-in-the-loop” architecture ensures that while AI accelerates information retrieval, the accuracy and compliance of the answers are reviewed and approved by the organization’s subject matter experts.

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A recent G2 customer review stated, “Panviva is a solid tool for real-time resource management, especially in industries where accuracy and compliance are critical. It’s great for reducing the time employees spend searching for information; everything is structured and easy to find, which is a lifesaver in fast-paced environments like customer support or healthcare, or IT support systems where I work.”

AI Conversational Search functionality is embedded directly into the Sidekick browser extension, available for Chrome and Edge with no coding required. Agents can access AI search functionality, so they can ask and receive answers without leaving their CRM or web-based applications. By delivering easily digestible summaries and direct answers to agents’ fingertips, Sidekick significantly reduces average handling times, enhances agent onboarding and training, and aligns with growing customer expectations.

Upland’s AI Conversational Search for Panviva Sidekick is driving the next era of AI-enabled knowledge delivery for frontline workers in high-stakes, regulated environments. By combining AI-driven efficiency with robust compliance and security, organizations can confidently adapt to evolving policies and rising customer expectations.

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Reltio Reports Record Momentum, Reaching $185 Million in ARR and Defining the Future of Context Intelligence

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Reltio Reports Record Momentum, Reaching $185 Million in ARR and Defining the Future of Context Intelligence

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Leading data technology company achieves 40% bookings growth and positive cash flow, fueled by rapid enterprise adoption of its AI-powered data foundation.

Reltio®, the context intelligence company, announced record-breaking results for its fiscal year ended January 31, driven by surging demand for trusted data to power enterprise AI and agentic workflows. The company reported annual recurring revenue (ARR) at the end of the year of $185 million, representing significant growth acceleration.

This was a watershed year for Reltio. We didn’t just grow; we validated that the future of enterprise data lies in context intelligence.

Reltio’s momentum underscores the critical market shift from legacy master data management (MDM) to dynamic, AI-ready context intelligence. With Q4 as the largest quarter in Reltio’s history, the company generated significant year-over-year bookings growth of 40%. Reltio also generated material positive cash flow and ended the year with over 200 large enterprise customers.

“This was a watershed year for Reltio. We didn’t just grow; we validated that the future of enterprise data lies in context intelligence,” said Manish Sood, Founder and CEO of Reltio. “As organizations rush to deploy AI agents and automate complex decisions, they are realizing that data accuracy alone isn’t enough—they need real-time context. Our financial performance and expanding roster of category-leading customers prove that Reltio is an essential foundation for this new era.”

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Adoption of the Reltio enterprise platform accelerated significantly among the world’s largest enterprises across life sciences, healthcare, insurance, financial services, B2B and B2C segments last year:

  • The company’s first enterprise agreement with greater than $10MM ARR
  • 49 customers now have an annual footprint greater than $1MM
  • FY26 net-new customer growth of 93%
  • 43 customers are Fortune 500 companies

To support and drive this growth, during FY26, Reltio further bolstered its go-to-market leadership ranks with the recent hires of Don Bulmer as Chief Marketing Officer, Alyson Welch as Chief Revenue Officer, and Trish Hayward as Chief AI Business Transformation Officer in FY26. Each professional brings decades of experience and proven leadership from top technology companies, strengthening Reltio’s ability to scale and serve customers as enterprise AI adoption accelerates.

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FY26 Innovation Highlights

In FY26, Reltio delivered major innovations that advanced the Reltio Data Cloud as a System of Context, connecting enterprise data to business meaning so organizations can put agentic AI into production with confidence. Highlights include Reltio AgentFlow™, an agentic AI operations suite designed for secure, real-time data intelligence grounded in trusted data, and Reltio Lightspeed™ Data Delivery Network, which provides global access to critical data in under 50 milliseconds for real-time, customer-facing and other business-critical applications. Lightspeed reduces infrastructure costs through a simplified service architecture, while improving resilience through optional multi-region deployments. At the center is Reltio AgentFlow, which makes stewardship and governance more autonomous and explainable through purpose-built agents.

Pioneering a New Industry Standard: Context Intelligence

As enterprises deploy agentic AI, many are discovering the same constraint: models are powerful, but they often lack company-specific context and the real-time controls required to operate safely at scale. Reltio is a pioneer in addressing this gap using Context Intelligence: the ability to continuously unify data, understand its meaning and relationships, and activate it in real time with governance built for agents running in production.

Context Intelligence goes beyond “AI-ready data,” traditional MDM, and data unification. Warehouses and lakehouses can store and process data, but they were not designed to deliver trusted, governed, real-time context that agents can act on across systems. In the agentic era, enterprises need more than a data platform. They need trusted context: semantic understanding, relationship intelligence, and real-time governance so AI can act with accuracy, accountability, and control.

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Moburst Launches Growth Labs Initiative to Enhance the Development of AI-Powered Solutions to Supercharge Client Growth

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Moburst Launches Growth Labs Initiative to Enhance the Development of AI-Powered Solutions to Supercharge Client Growth

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The leading digital marketing agency welcomes industry veteran Fernando Ideses as Strategic Technology Product Lead to drive innovation and expand client offerings

Moburst, a leading full-service mobile-first digital marketing agency, announces the launch of its Growth Labs initiative, a suite of AI-driven solutions that are transforming client experiences and outcomes. This move reflects the agency’s ongoing commitment to driving innovation and leveraging cutting-edge technology.

Growth Labs is Moburst’s proprietary AI innovation and product unit, focused on building, testing and scaling AI-powered marketing solutions. As part of the Growth Labs solutions, Moburst develops products to improve how brands grow, perform, and appear on digital, search engines, answer engines and generative AI platforms.

Over the past year, Moburst has made substantial investments in artificial intelligence (AI), refining tactics and tools that not only enhance internal efficiency but, more importantly, deliver greater results for clients. Through extensive research, testing and continual refinement, Moburst is developing proprietary products and exploring new business offerings that better serve clients.

To date, Moburst’s AI team – supported by 16 cross-department “AI Champions” who work to help teams integrate AI into daily operations – has embedded AI across all 29 service offerings, from creative development and performance marketing to public relations and app development. This collaboration ensures that AI is not siloed but instead integrated into every facet of the business.

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In January 2026, Moburst debuted 10 new AI-powered internal products, outside of its Growth Labs initiative, garnering impressive performance metrics across the board. Some notable product innovations include:

  • Standardized Reporting Agent: A solution designed to improve consistency across reports while significantly accelerating client insights. Automated reporting reduces report creation time by up to 95%, from three hours to just 15 minutes. This enables Moburst’s clients to receive timely, reliable data, empowering them to make informed decisions quickly, ultimately driving better business outcomes and enhancing their ability to respond to market dynamics in real-time.
  • Social Performance & Trend Analysis Agent: This AI agent combines performance data from social media platforms with real-time trend analysis from channels like Instagram and TikTok to surface actionable insights. By analyzing social engagement and audience behavior, it delivers results in an easy-to-understand format, allowing teams and clients to quickly identify what’s working, what’s trending and where to focus next – all without hours of manual analysis. This helps clients stay ahead of the curve in their social strategies, ensuring they can capitalize on key trends and improve their social media impact.
  • Meeting-to-Action Item Agent: A solution that attends every meeting and client call, understands who is responsible for each account across all departments and teams, and within minutes after each meeting, automatically assigns the relevant action items to each team member in our task management system, including recommended priorities and execution timelines based on the discussion.

To further accelerate its product development efforts and expand its in-house solutions, Moburst has hired Fernando Ideses as its Strategic Technology Product Lead. With over 15 years of experience in product development, Ideses brings a wealth of knowledge and leadership expertise. He previously founded and led Crystal Ball, a marketing analytics platform that empowered businesses to turn fragmented data into actionable insights. Prior to that, he led a successful software development agency for over a decade, specializing in mobile app development and SaaS solutions.

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“Moburst has always been at the cutting edge of digital marketing, and we are constantly looking for ways to push the boundaries of what’s possible,” said Gilad Bechar, founder and CEO of Moburst. “Fernando’s deep product development expertise and his track record of innovation will be instrumental in ensuring we continue to help our clients achieve long-term growth and maintain their competitive edge in an increasingly fast-paced market.”

As part of his new role, Ideses will lead the development of innovative products that build on Moburst’s already impressive suite of AI-powered tools, further accelerating growth for its clients. These solutions will enhance existing offerings, including AI-driven products for social media growth, large language model (LLM) optimization and other technologies designed to ensure clients stay ahead in the fast-evolving world of AI-driven marketing. Ideses will guide the product lifecycle – from ideation and roadmapping to execution and market launch – continuing Moburst’s legacy of developing cutting-edge solutions that are finely tuned to client needs and market trends.

“The pace of innovation in AI is accelerating at an unprecedented rate, and Moburst is fully committed to staying at the forefront,” said Ideses. “The opportunity to create products that empower our clients in ways that were unimaginable just a few years ago is truly invigorating. Our mission is to continue developing solutions that not only meet the evolving demands of the market but also drive real, sustainable growth.”

With Ideses at the helm, the Growth Labs initiative is poised to solidify Moburst’s position as an industry leader in AI-driven marketing solutions, further enhancing the agency’s ability to drive impactful results for its clients. Over the next 12 to 24 months, Growth Labs will continue expanding its product roadmap with AI solutions focused on predictive analytics, generative content intelligence and deeper integration with emerging AI platforms.

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Oracle AI Agents Help Marketing, Sales, and Service Leaders Enhance Customer Experiences

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Oracle AI Agents Help Marketing, Sales, and Service Leaders Enhance Customer Experiences

New role-based AI agents embedded in Oracle Fusion Cloud Applications transform slow and reactive sales, marketing, and service processes into revenue driving opportunities

Oracle announced new role-based AI agents within Oracle Fusion Cloud Applications to help organizations deliver intelligent customer experiences (CX) at scale. Built using Oracle AI Agent Studio for Fusion Applications, the new AI agents are embedded within marketing, sales, and service processes to help CX leaders drive productivity gains and enhance business performance by analyzing unified data, automating processes, and delivering predictive insights.

“Organizations are transforming slow, reactive sales, marketing, and service processes into proactive and intelligent workflows that deliver exceptional customer experiences at scale and drive revenue growth,” said Chris Leone, executive vice president of Applications Development, Oracle. “The new AI agents in Oracle Fusion Applications help organizations grow customer relationships and lifetime value by delivering customer experiences that are driven by unified data from across multiple business processes.”

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Running on Oracle Cloud Infrastructure, Oracle AI agents are prebuilt and natively integrated within Oracle Fusion Applications at no additional cost. Embedded within the existing workflows of a business, they help users operate faster and make better decisions. The new AI agents within Oracle Fusion Cloud Customer Experience (CX), part of Oracle Fusion Applications, include:

Marketing:

  • Program Planning Agent: Helps marketers plan, launch, and optimize cross-sell and up-sell programs. This agent defines the goals, audience, and core narratives for a campaign.
  • Program Brief Agent: Helps marketers bring clarity and alignment across product, marketing, and sales teams for more effective campaign execution. This agent automates campaign planning alignment by generating concise summaries of campaign objectives, target audiences, key messages, content requirements, and recommended tactics.
  • Program Orchestration Agent: Helps marketers streamline the integration of campaign narratives and tactics into marketing materials. This agent analyzes a program brief and translates it into actionable tactics and tangible assets.
  • Buying Group Agent: Helps marketers more efficiently target buying groups. This agent creates buying group segments and provides recommendations about who to target and why, while identifying the accounts that are most likely to buy.
  • Customer Insights Agent: Helps marketers gain a deeper understanding of a customer. This agent analyzes account data to ensure each engagement is grounded in real signals such as billing status, renewal timing, and service interactions.
  • Audience Analysis Agent: Helps marketers focus resources on high-potential opportunities and maximize return on investment. This agent recommends optimal investment strategies and automates audience segmentation by evaluating persona coverage, engagement levels, and buying stage analysis.
  • Copywriting Agent: Helps marketers streamline campaign execution by reducing manual effort, shortening campaign timelines, and ensuring message consistency. This agent helps automate content creation and drafts copy for emails, landing pages, and web assets that adhere to brand guidelines and marketing goals.
  • Image Picker Agent: Helps marketers improve asset selection and ensure alignment with brand and campaign objectives. This agent recommends the most suitable images for a campaign based on pre-approved assets, tactic objectives, and design standards.

Sales:

  • Contact Insights Agent: Helps sellers prioritize outreach and build stronger relationships. This agent helps simplify research and planning by providing actionable insights on contacts, their connections, and their importance within an account.
  • Quote Generation Agent: Helps sellers assemble quotes faster. This agent analyzes inputs such as emails, drawings, or other specified requirements, selects product models or configurations, and captures customer details using the correct pricing template.
  • Renewal Agent: Helps sellers be more proactive with renewals and reduce manual effort. This agent monitors and analyzes contract health and margin risk, provides alerts and recommendations, and develops renewal briefs that include usage trends, profitability insights, product dependencies, and upsell recommendations.
  • My Territory Agent: Helps sellers review risks and expansion opportunities in their territory. This agent spotlights potential risks, expansion opportunities, and performance anomalies across accounts, and summarizes what changed since the last time a seller checked in.

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Service:

  • Start-of-Day Agent: Helps field technicians improve first-time fix rates. This agent generates personalized summaries of each technician’s daily assignments, ensuring they are equipped and focused on critical tasks to resolve issues on the first attempt.
  • Work Order Scheduling Agent: Helps field service organizations streamline scheduling of field service work orders to reduce delays and improve on-time service delivery. The agent can schedule a work order by aligning customer availability, technician qualifications, and parts readiness.
  • Customer Self Service Agent: Helps customers find answers to their questions or requests quickly. The agent can help answer customer questions instantly, create and track service issues, and escalate to a live customer service representative.
  • Attachment Processing Agent: Helps service representatives streamline triage and resolution of customer requests. This agent helps extract and summarize relevant data from file attachments to better inform service requests and resolve them faster.

In addition to the new AI agents embedded in Oracle Fusion Applications, customers and partners can also create and manage their own unique AI agents using AI Agent Studio for Fusion Applications, a comprehensive platform for building, testing, and deploying AI agents and agent teams across the enterprise.

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RegASK Launches AI-Assisted Label Review Delivering Compliance Reports in Seconds Across Global Markets

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RegASK Launches AI-Assisted Label Review Delivering Compliance Reports in Seconds Across Global Markets

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New label review capability and global regulatory database transform compliance from a manual bottleneck to competitive advantage.

RegASK, the Agentic AI platform redefining regulatory intelligence and workflow orchestration for Life Sciences and Consumer Products organizations, announced the launch of its AI-Assisted Label Compliance Review, a transformative capability that delivers comprehensive label compliance checks in seconds.

Label compliance checks have long been one of the most time-consuming and risk-prone steps in product commercialization. RegASK’s new capability replaces weeks of manual checks with instant review, enabling teams to launch products faster without compromising regulatory rigor.

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With RegASK’s new capability, teams can upload packaging artwork and seamlessly validate it against the web of regulations across global markets, including the US, EU, UK, and China. The system delivers clear compliance assessments with actionable recommendations and pinpoints issues directly on the label using an interactive viewer. Each finding is fully traceable, with direct hyperlinks to the underlying source regulations, creating a complete audit trail for confident, defensible decision-making.

“Our AI-Assisted Label Compliance Review transforms one of the biggest bottlenecks in product launches into a true go-to-market advantage,” said Caroline Shleifer, Founder & CEO of RegASK. “By unifying regulatory intelligence and AI-assisted label review, we’re removing structural friction and enabling compliance to operate at the speed global markets demand.”

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The launch is underpinned by major enhancements to RegASK’s core infrastructure, including a new global regulatory database that provides a 360-degree, chronological view of each regulation’s full lifecycle from initial consultation to amendments and enforcement. Teams now have access to the complete timeline of a regulation, tracking how it has evolved and its current status. This robust foundation ensures label compliance checks are always based on the most current and complete regulatory information available.

“For decades, regulatory teams have been forced to manually cross-reference fragmented regulations,” said Amenallah Reghimi, Chief Product & Technology Officer of RegASK. “That era is over. With our AI-Assisted Label Review and global regulatory database, we’re redefining what operational excellence looks like in compliance. We’ve built a system where teams can operate with unprecedented speed, visibility, and confidence in their everyday compliance workflows.”

RegASK’s new capability compresses review timelines, reduces rework, and eliminates avoidable compliance delays, fundamentally changing how organizations approach product launches. It reflects the company’s broader mission to close the gap between regulatory complexity and business velocity, empowering teams to operate with regulatory readiness at global scale.

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Similarweb Launches AI Studio: Enterprise Intelligence That Puts Expert Market Research at Every Employee’s Fingertips

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Similarweb Launches AI Studio: Enterprise Intelligence That Puts Expert Market Research at Every Employee's Fingertips

New AI-powered platform transforms how enterprises access competitive intelligence — ask any business question, get comprehensive insights in seconds

Similarweb launched AI Studio, an enterprise AI intelligence solution that fundamentally transforms how organizations access and act on digital market data. AI Studio sits on top of Similarweb’s complete digital intelligence infrastructure — 100 million websites, 6 billion keywords, 4 million apps, 20 million companies, 50,000+ stock tickers, 557 million+ SKUs, and 37 months of historical data — making expert-level market research instantly accessible through natural conversation.

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“Now anyone in the organization can get the insights they need without training or technical expertise. It’s like giving every employee their own team of AI-powered market intelligence experts.” Benjamin Seror, CPO and Co-founder of Similarweb

“AI Studio represents the biggest shift in how our customers experience Similarweb since we founded the company,” said Benjamin Seror, Chief Product Officer and Co-founder of Similarweb. “In beta testing, we saw companies go from 3 active Similarweb users to 28 — because now anyone in the organization can get the insights they need without training or technical expertise. It’s like giving every employee their own team of AI-powered market intelligence experts.”

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Ask anything. Know everything. Win your market.

AI Studio combines Similarweb’s proprietary digital intelligence with expert AI agents to deliver three distinct capabilities:

Chat delivers instant answers to any business question — competitive positioning, traffic trends, keyword opportunities, audience insights — with full conversational context maintained across follow-up questions.

Deep Research produces comprehensive consultant-grade reports on complex questions, synthesizing web traffic, search data, app intelligence, and audience metrics into executive-ready deliverables.

AI Dashboards translates plain-language requests into custom, auto-updating visualizations — describe what you want to see, and AI Studio builds it automatically.

Unlike generic AI assistants that lack specialized market knowledge, AI Studio’s team of agents are trained specifically on Similarweb’s methodology and optimized for business intelligence use cases. Enterprise teams use it for competitive benchmarking, market sizing, investment due diligence, and identifying strategic opportunities — tasks that traditionally required dedicated analysts and hours of report building.

“The difference isn’t just speed — it’s access,” added Seror. “Questions that used to require deep platform expertise now take seconds and are translated into an actionable execution plan for our users. That means faster decisions, wider adoption, and intelligence that actually reaches the people who need it.”

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Capitol AI Names Chester Leung as Vice President of Engineering to Advance Enterprise Trust, Security, and Governance

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Capitol AI Names Chester Leung as Vice President of Engineering to Advance Enterprise Trust, Security, and Governance

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Engineering leader brings deep expertise in risk, privacy, and secure AI systems as Capitol AI helps institutions move sensitive data into production AI workflows.

Capitol AI, the enterprise AI platform helping institutions turn complex information into decision-ready insight, announced the appointment of Chester Leung as Vice President of Engineering. This move expands the company’s leadership bench as organizations and government institutions move Capitol’s AI tools deeper into workflows involving sensitive information.

“Chester brings a risk and security-first mindset that is deeply aligned with how our customers think about their data,” said Shaun Modi, CEO and founder of Capitol AI. “That perspective is critical to how we design systems supporting real decisions that need to be auditable for long-term reliability.”

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Leung brings extensive experience building and deploying enterprise AI systems where privacy, governance, and risk management are foundational requirements embedded at the system level. As a co-founder himself, Leung recently served as Head of AI Platform at Opaque where he worked with enterprise customers across insurance and financial services to deploy AI systems designed to operate safely on proprietary data.

“For AI to move beyond experimentation inside large institutions, safety and governance cannot be optional,” said Leung. “Organizations will not trust systems that treat risk as an afterthought, and Capitol AI is building an agentic platform that treats control and explainability as a first class citizen. I see a strong opportunity to help shape a platform that enables customers to confidently achieve clarity from their data.”

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Throughout his career, Leung focused on closing the gap between advanced AI capability and enterprise readiness. He holds graduate and undergraduate degrees in computer science from the University of California, Berkeley, where he conducted research in the RISE Lab building secure AI systems. His work centers on enabling organizations to apply advanced AI techniques while maintaining safeguards around data access and use.

At Capitol AI, Leung will guide engineering strategy across platform architecture, safety and governance, and long term scalability. His leadership will help ensure the platform continues meeting the expectations of organizations requiring transparency, reproducibility, and defined boundaries around how proprietary research and information are handled.

Leung’s appointment follows a series of recent expansion milestones for Capitol AI, including the addition of Gabe Martin as Vice President of Partnerships and Rama Veeraragoo leading product management, reflecting the company’s continued scale across platform and product.

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ID Dataweb Achieves SOC 2 Type II Attestation, Strengthening Transparency and Confidence in Security Controls

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ID Dataweb Achieves SOC 2 Type II Attestation, Strengthening Transparency and Confidence in Security Controls

ID Dataweb, a recognized leader in identity threat detection and risk mitigation, announced that it has once again achieved SOC 2 Type II attestation for the ID Dataweb platform, reaffirming the company’s commitment to the highest standards of security, availability, and confidentiality.

SOC 2 Type II attestation provides independent, third-party validation that ID Dataweb’s systems and controls are not only well designed but are also operating effectively over time to protect customer data. Unlike an SOC 2 Type I report, which evaluates controls at a specific point in time, a Type II report assesses their ongoing performance over an extended period. This offers customers a higher level of assurance that ID Dataweb consistently meets the Trust Services Criteria established by the American Institute of Certified Public Accountants (AICPA).

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SOC 2 Type II is widely recognized in enterprise procurement and vendor risk management programs, particularly across regulated industries, as a standardized measure of security maturity and operational trust.

“As identity-based attacks continue to rise, trust has become the foundation of every digital interaction,” said Matt Cochran, Chief Operating Officer of ID Dataweb. “Achieving SOC 2 Type II attestation again demonstrates that we take security seriously at every level of our organization and reinforces our commitment to Zero Trust principles, where no user or transaction is implicitly trusted. This milestone underscores our dedication to helping customers continuously verify identities and combat fraud—without compromising security or user experience.”

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The ID Dataweb platform enables enterprises to detect and mitigate identity-based fraud and account-related threats in real time while maintaining a seamless experience for employees, partners, and customers. This SOC 2 Type II attestation further assures customers, partners, and regulators that ID Dataweb applies industry best practices to safeguard sensitive data across the entire identity lifecycle.

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DXC Completes Enterprise-Wide Amazon Quick Deployment and Launches New Practice to Help Accelerate AI Adoption

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DXC Completes Enterprise-Wide Amazon Quick Deployment and Launches New Practice to Help Accelerate AI Adoption

  • DXC proves AI at real enterprise scale through its own global deployment of Amazon Quick, supporting 115,000 employees across 70 countries.

  • New DXC Amazon Quick Practice helps customers securely deploy and operationalize AI across complex, multivendor enterprise ecosystems.

  • DXC’s Customer Zero approach validates new technologies internally first, enabling faster and more confident customer adoption.

DXC Technology, a leading enterprise technology and innovation partner, announced the completion of DXC’s enterprise-wide deployment of Amazon Quick, the agentic AI-powered digital workspace, across its global workforce of 115,000 employees operating in 70 countries and the launch of the DXC Amazon Quick Practice, a new business unit focused on helping customers worldwide operationalize AI at scale across multivendor enterprise ecosystems.

The announcement represents one of the largest enterprise deployments of Amazon Quick to date and underscores DXC’s Customer Zero approach. By first operating new technologies internally at true enterprise scale, under real-world security and governance requirements, DXC validates what works before helping customers deploy and scale those capabilities in their own environments. Drawing on the same experience, operating models, and governance frameworks used inside DXC, the company helps customers move AI from pilot programs into full scale production with greater speed and confidence.

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Enterprise AI, Proven Inside DXC

DXC deployed Amazon Quick to improve how its employees access information, collaborate, and deliver work across a highly distributed, global enterprise in all lines of its business. The platform connects employees to trusted data across systems while maintaining enterprise-grade security, access controls, and compliance requirements. As part of the rollout, DXC introduced an AI Advisor Agent that provides employees with a single access point for AI-related knowledge, tools, prototypes, and feedback and is now used by more than 40,000 engineers. The rollout also includes role-based AI advisors, such as a Supply Chain Advisor that delivers fast, trusted operational guidance by connecting employees directly to validated knowledge, enabling teams to move faster with confidence.

By reducing friction across disparate systems and simplifying access to information, the deployment has helped speed up decision-making, improve productivity, and accelerate the building of ideas into real customer solutions. The initiative is led by DXC’s Chief Digital Information Officer Russell Jukes, reflecting a tightly aligned execution model across technology, delivery, and operations that unifies DXC’s digital, information, and AI agenda to accelerate enterprise scale AI. Deployed first within DXC, the approach is designed to translate directly into how DXC supports customer AI transformation at scale.

“Deploying Amazon Quick across DXC’s global workforce gave us the opportunity to pressure-test at true enterprise scale. We’ve seen firsthand how AI, when connected to the way people work and the processes they rely on, can reduce friction, improve decision-making, and help teams operate more effectively with the right guardrails in place. That experience now directly informs how we help our customers move beyond pilots and activate AI across their enterprises.” – Russell Jukes, Chief Digital Information Officer, DXC

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Launch of the DXC Amazon Quick Practice

Building on its proven internal deployments, DXC is launching the DXC Amazon Quick Practice to help enterprises deploy AI with greater speed, confidence, and control. Powered by more than 10,000 Amazon-certified professionals with over 1,000 trained and certified across Amazon AI specializations and DXC’s enterprise AI delivery programs, the practice combines proven deployment methodologies, Amazon-native frameworks, and governance models validated within DXC’s own operations. This foundation, attested by the achievement of multiple AWS AI competencies, enables enterprises to move beyond experimentation and responsibly operationalize AI, delivering measurable productivity gains while maintaining enterprise-grade security, compliance, and reliability.

Cross-functional teams of AI architects, automation designers, and adoption leads partner with customers to identify high-impact use cases and rapidly deploy secure, pre-built AI capabilities spanning AI-powered research, advanced business intelligence, and agent-ready automation. Designed to scale with enterprise needs, the practice also supports co-investment with Amazon in targeted industry solutions across sectors such as financial services, insurance, and manufacturing, accelerating time to value and driving measurable business outcomes.

“Many enterprises are eager to use AI but struggle to turn pilots into real business impact. The DXC Amazon Quick Practice combines our enterprise delivery experience and proven operating models to help customers deploy AI responsibly, accelerate modernization, and achieve measurable results. This is more than a partnership, it’s a launchpad for AI-powered enterprise transformation, with a focus on making AI practical, scalable, and embedded into day-to-day operations, not just another tool sitting on the sidelines.”
– Ramnath Venkataraman, President of Consulting & Engineering Services, DXC
“Amazon Quick is designed to enable enterprise-grade AI directly where people work. DXC has proven the power of Quick by successfully integrating into the day-to-day workflows of 115,000 employees across 70 countries. Together, through the DXC Amazon Quick Practice, we’re well positioned to provide enterprises a proven, confident path to roll out AI at scale within the systems and data they already use.” – Jose Kunnackal John, Director, Amazon Quick

The DXC Amazon Quick Practice draws on DXC’s experience deploying and operating AI across a global enterprise to help customers move beyond pilots and embed agentic AI into day-to-day operations. Building on DXC’s longstanding partnership with Amazon, the practice supports enterprises navigating growing AI complexity and rising expectations by integrating and managing AI solutions within existing environments, accelerating adoption, delivering measurable results, and operationalizing AI securely and responsibly.

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IgniteTech Unveils Adminio™ AI, Transforming Meeting Scheduling Through Intelligent Email Orchestration

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IgniteTech Unveils Adminio™ AI, Transforming Meeting Scheduling Through Intelligent Email Orchestration

New platform eliminates scheduling friction through conversational AI assistants that work on your domain

IgniteTech, the enterprise software powerhouse known for leading the AI transformation revolution, announced Adminio™ AI, a groundbreaking, patent-pending platform that eliminates the tedious back-and-forth of meeting coordination through intelligent, persona-based AI assistants. Building on the proven technology foundation of IgniteTech’s Eloquens® AI and MyPersonas® platforms, Adminio AI advances the company’s vision of putting powerful AI capabilities in the hands of business professionals. The announcement was made at GenAI Expo during IgniteTech’s keynote address kicking off the event held in Ft. Lauderdale, Florida, where IgniteTech serves as Presenting Sponsor.

“Scheduling meetings consumes valuable hours every week that could be spent on actual work,” said Eric Vaughan, CEO of IgniteTech. “The data is staggering: professionals waste 3 hours per week managing calendars, that’s 7.5% of work time just coordinating schedules. Poor scheduling costs businesses $100 billion annually in lost productivity, translating to $25,000 per employee per year. With Adminio AI, we’re giving every professional their own AI executive assistant that works entirely through email. Just CC your Adminio AI assistant on any scheduling request and they handle everything: checking calendars, coordinating time zones, negotiating times, and confirming meetings. No booking links. No friction. Just booked time,” added Vaughan.

Adminio AI operates as a named persona – like a real executive assistant – that users interact with conversationally via email. Each user gives their Adminio AI assistant a name and CC’s them on scheduling requests, just as they would a human EA. The platform works on the customer’s own domain, ensuring seamless brand integration and eliminating the friction of external email addresses. The AI handles multi-party coordination across time zones, manages calendar conflicts, and maintains context throughout complex negotiations. When situations require higher-touch coordination or human judgment, Adminio AI automatically brings the designated human manager into the conversation via CC, ensuring critical decisions always have human oversight. This “Human-In-The-Loop” facility is a hallmark of all IgniteTech’s enterprise-grade AI innovations.

Built on IgniteTech’s patent-pending AI technology from Eloquens AI, Adminio AI delivers enterprise-grade capabilities from day one. The platform offers comprehensive integration with Microsoft 365, Google Gmail and GFI’s KerioConnect®, making it accessible to organizations of all sizes regardless of their email infrastructure.

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Key features include:

  • Custom Domain Deployment: Works on your domain name, not a third-party address
  • Persona-Based Interaction: Users name their AI assistant and interact naturally via CC or direct email
  • Human-in-the-Loop Oversight: Each Adminio AI persona has a designated human manager who gets CC’d when higher-touch coordination or problem-solving is needed
  • Multi-Party Coordination: Seamlessly manages scheduling across internal and external participants
  • Intelligent Time Zone Management: Automatically tracks and converts across global time zones
  • Calendar Access Control: Permitted access to internal calendars drives intelligent coordination for external participants
  • Conversational Rescheduling: Handles changes and conflicts through natural email dialogue
  • Global Language Support: Native handling of over 160 languages without translation
  • Enterprise-Grade Security: GDPR and SOC-2 compliant with advanced protection for sensitive communications
  • Regional Data Residency: Available in both EU and US regions to meet data sovereignty requirements

The platform emerged from IgniteTech’s own AI internal effort to reduce the significant executive and administrative time consumed by traditional scheduling. The company’s widely documented AI-first workforce evolution, which saw over 80% of staff replaced due to resistance to AI adoption, including Vaughan’s own chief of staff, created the urgent need for an AI scheduling solution. “When I had a gap with someone in that role, I realized every professional faces this same challenge,” said Vaughan. “Most people don’t have the luxury of an executive assistant, and those who do are increasingly finding that traditional approaches can’t keep pace with global, distributed teams that need 24×7 and multi-lingual capabilities.” Early internal deployment demonstrated dramatic efficiency gains, with people reclaiming many hours per week previously lost to calendar coordination.

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Adminio AI will launch in Q1 2026 in three editions to suit different organizational needs:

  • Professional Edition: Designed for individual professionals managing their own meeting coordination
  • Business Edition: Optimized for small to medium teams requiring collaborative scheduling
  • Enterprise Edition: Built for large organizations with complex, high-volume scheduling needs across global teams

Each edition scales features like meeting volume, calendar integrations and number of managed relationships to match organizational requirements.

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ON24 Celebrates 2025 Winners of the Digital Engagement Excellence Awards

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ON24 Celebrates 2025 Winners of the Digital Engagement Excellence Awards

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Fortinet, Salesforce, Travel Media Group and others honored by ON24 for driving revenue growth, scaling AI-powered engagement and transforming customer experiences with ON24

ON24 , a leading intelligent engagement platform for B2B sales and marketing, announced the 2025 winners of its Digital Engagement Excellence Awards. This year’s honorees, showcased at the ON24 Webinars and Virtual Events That Rocked event, delivered some of the most impactful digital engagement programs, driving measurable business results, accelerating AI adoption, and elevating customer and partner engagement at scale.

“The 2025 award winners demonstrate how effective use of personalized digital engagement, data insights, and AI-generated content and experiences can drive real business results,” said Sharat Sharan, CEO of ON24. “We’re proud to recognize their achievements and the innovation they continue to bring to their organizations.”

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The following ON24 customers were recognized for having an industry-leading digital engagement strategy, powered by the ON24 Intelligent Engagement Platform:

  • Aviso Wealth, a leading Canadian wealth services provider, transformed webinar recordings into a content engine of AI-generated assets that supported ongoing engagement beyond the live event. The team reported substantial time savings of manual work while making webinars a top-performing channel for acquiring and nurturing marketing-qualified leads.
  • EdAssist by Bright Horizons, a leading provider of employer education benefits, engaged more than 100,000 registrants through its digital event program, LevelUp Studio. With 1.8M+ of engagement minutes and strong use of engagement tools, the team delivered an effective professional development experience for its audience.
  • Envista Forensics, a global leader in forensic consulting services, delivered a high-performing education and certification experience that achieved more than 1,500 in attendance, strengthened audience segmentation and console design, and reduced manual content creation time by 50% while scaling output by 40%.
  • Fortinet, a global cybersecurity leader, brought together customers and partners worldwide for its annual SASE summit. The event exceeded its total registration goal by 155%, drawing 19,441 global sign-ups — while delivering a unified brand experience and improved attribution through enhanced data workflows and reporting.
  • Grokker, an employee wellbeing engagement solution, educated HR leaders and achieved a 47% attendee conversion rate, high engagement across Q&A and polling, and 53% open rates on promotional emails, with AI-generated content supporting strong follow-up and pipeline development.
  • Kahua, a provider of collaborative construction project management solutions, created an interactive debate-style experience that generated $1.5 million in active pipeline from 100 registrants, delivered strong live engagement, and enabled extensive content repurposing beyond the event.
  • Croner-i, one of the UK’s leading online research service for tax & accounting, HR & compliance professionals, created a unique always-on content experience. The serialized program generated 950+ leads and five demo conversions, driven by daily micro-content that encouraged repeat engagement.
  • Salesforce, the global leader in CRM, expanded access to Dreamforce insights with an impactful regional program. The hybrid broadcast attracted 1,000 live attendees and delivered a dynamic combination of pre-recorded content and real-time Q&A tailored to Australia and New Zealand audiences.

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  • Travel Media Group, a hospitality marketing partner, advanced its year-long series with a hands-on video creation tutorial for hoteliers. The series drove double-digit leads leveraging interactive polling and generated meaningful engagement and follower growth across the company’s social channels.
  • VelocityEHS, a leading provider of cloud-based environment, health and safety (EHS), and sustainability software, delivered a demo day that gave attendees an inside look at its latest AI innovations. The program exceeded its 500-registration goal with 606 sign-ups, achieved a 45% attendance rate, and converted all attendees to MQLs, supported by strong engagement and a refined reminder strategy.

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IBM Introduces Autonomous Storage with New FlashSystem Portfolio Powered by Agentic AI

By
PRNewswire
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IBM Introduces Autonomous Storage with New FlashSystem Portfolio Powered by Agentic AI

  • Three new enterprise storage systems – IBM FlashSystem 5600, 7600, and 9600 – significantly reduce storage management efforts

  • FlashSystem.ai brings AI agents to storage arrays as co-administrators

  • Fifth-generation FlashCore Module detects ransomware in under 1 minute, offers new advances in system resiliency and data management

IBM unveiled the next generation of IBM FlashSystem, co-run by agentic AI, ushering in a new era of autonomous storage. By enhancing FlashSystem’s existing AI capabilities with agentic AI, IBM is redefining resilience through sustained protection, autonomous threat analysis, and customized recovery recommendations. Clients can now turn storage into an always-on layer of intelligence, enabling reliable and secure storage operations that can reduce the manual effort of storage management by up to 90%.

The new portfolio includes:

  • Three new systems – the IBM FlashSystem 5600, 7600, and 9600 – which deliver up to 40% greater data efficiency for improved capacity footprint and performance, compared to the previous generation.2
  • FlashSystem.ai, a new set of intelligent data services that help administrators manage, monitor, diagnose, and remediate issues across the entire data path.
  • The new fifth-generation FlashCore Module all-flash drive, which is engineered to provide hardware-accelerated real-time ransomware detection, data reduction, analytics and operations, with advanced telemetry and consistently low latency at scale.

As companies increasingly integrate AI workflows into their operations, agentic AI has the potential to streamline the way IT teams work across the stack. In fact, 76% of executives responding to an IBM IBV study say their organizations are developing, executing, or scaling proof-of-concepts that automate intelligent workflows through self-sufficient AI agents.3 In tandem, enterprise IT teams continue to face accelerated data growth, expanding cyber threats, and tightening compliance requirements. These roadblocks have created a need for intelligent, autonomous storage solutions.

“The next-generation IBM FlashSystem elevates storage to an intelligent, always-available layer, where autonomous AI agents continuously optimize performance, security, and cost without human intervention,” said Sam Werner, GM of IBM Storage. “The updated portfolio marks the beginning of an autonomous storage era, where FlashSystem becomes a strategic AI partner that can help IT leaders ensure optimal, secure performance for every workload they run.”

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Meet the New Generation

Three simultaneous model launches make this the most significant IBM FlashSystem launch in the last six years, with a series of new models developed for a variety of business needs, including:

  • IBM FlashSystem 5600, ideal for organizations that need enterprise-class capabilities in a compact footprint, provides up to 2.5 PBe of effective capacity in a single 1U system, setting a higher bar for storage density in the midrange market, and up to 2.6M IOPs. The ultra-dense 1U design is perfect for space-constrained environments such as edge locations, remote offices, and smaller data centers.
  • IBM FlashSystem 7600, developed for organizations that need high performance and scalability for growing workloads, provides up to 7.2 PBe of effective capacity in a single 2U system and up to 4.3M IOPs. The 7600 is designed to handle large virtualized environments, analytics platforms, and consolidated applications that require greater capacity and faster response times.
  • IBM FlashSystem 9600, built for enterprises running mission-critical operations that demand extreme performance and massive scalability, provides up to 11.8 PBe of effective capacity in a single 2U system with up to 6.3M IOPs. Typical use cases include core banking systems, ERP platforms, and AI-driven applications that require speed and advanced security. The FlashSystem 9600 reduces operational cost by as much as 57% via AI and consolidation compared to the previous generation.

IBM FlashSystem reduces the required storage footprint by 30%-75%, depending on the model, through optimized placement and consolidation, compared to its previous generation.5 For the FlashSystem 7600 and 9600, clients also have the option to monitor and visualize system state information physically with new interactive LED bezels.

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Flash Storage Meets AI

FlashSystem.ai brings AI-powered data services to clients through seamless, self-service operations that automate manual and error-prone tasks. IBM designed FlashSystem.ai to transform storage from a static repository into a self-improving system. With an AI model trained on tens of billions of data points collected through advanced telemetry and years of real-world operational data, the platform can execute thousands of automated decisions per day that previously required human oversight.

FlashSystem.ai not only automates many parts of storage management, but also quickly learns over time. This new agentic AI feature is built to adapt to application behavior in hours and designed to be significantly faster than template-based machines, suggesting performance improvements and explaining reasoning, while incorporating administrator feedback to tailor recommendations. FlashSystem.ai on the latest generation of FlashSystem models is engineered to cut audit and compliance documentation time in half through AI-generated, explainable operational reasoning.6 The newest generation of IBM FlashSystem runs client workloads with proactive tuning, intelligent placement of workloads for non-disruptive data mobility across storage devices, including third party storage arrays.

FlashCore Module Technology

All new FlashSystem models contain the fifth-generation FlashCore Module, a drive with up to 105TB of capacity and significant updates to efficiency and security. It also enables IBM FlashSystem models to compute complex statistics on every I/O using hardware‑accelerated analytics, designed to detect ransomware and anomalies rapidly without impacting system performance.7 Trained on tens of billions of data points collected through advanced telemetry and years of real-world operational data, the new IBM FlashSystem models’ threat detection can keep false positives to under 1%.8 The drive also provides AI-driven ransomware detection and alerting in under 60 seconds,9 as well as autonomous recovery actions at the hardware layer, making IBM FlashSystem among the most resilient storage offerings in the market.10

“New advanced AI capabilities to the IBM FlashSystem portfolio give customers mechanisms to automate optimal placement of enterprise workloads within the IBM storage system’s footprint, enhance security, and proactively address compliance requirements,” said Natalya Yezhkova, Research Vice President, Worldwide Infrastructure Systems, IDC. “These capabilities allow organizations to quickly react to changing business requirements through adaptive SLAs without additional burden on IT administrators.”

“More than three years ago, IBM began reshaping the storage landscape by introducing resiliency as a core capability, through innovations like Safeguarded Copy and built-in anomaly detection. Storage stopped being only about capacity and performance and started being about protecting data at its source,” said Nezih Boyacioglu, Business Development at Istanbul Pazarlama A.S. “Today, the rest of the industry is finally catching up to that vision, but IBM is already moving into the next era. With FlashSystem.ai, we’re moving from ‘built-in protection’ to ‘pervasive intelligence.’ It’s about more than just fast drives; it’s about combining human expertise with a system that learns, adapts, and gives organizations the confidence to move fast without looking over their shoulder.”

IBM Technology Lifecycle Services (TLS) uses AI-enabled monitoring, automated issue detection through Call Home, pre-code health checks, and priority support for critical issues to help identify and resolve potential system problems before they cause downtime.

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Recurly Appoints Growth and Category-Building Leader Suzin Wold as Chief Marketing Officer

By
Business Wire
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0
Recurly Appoints Growth and Category-Building Leader Suzin Wold as Chief Marketing Officer

Recurly

Recurly, a leading subscription management and billing platform, announced the appointment of Suzin Wold as Chief Marketing Officer. Wold brings over 25 years of experience in scaling high-growth technology companies and will lead Recurly’s global marketing strategy, brand positioning, and go-to-market execution.

Wold is known for building data-driven marketing organizations that connect brand, demand, and product to drive predictable revenue growth. She brings expertise across B2C and B2B, applying customer insights to increase revenue and build market-leading brands.

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“Suzin is a transformational leader who combines strategic vision with operational excellence,” said Joe Rohrlich, CEO of Recurly. “Her unique experience makes her the ideal partner to lead our marketing efforts as we help brands master the growth opportunities of the subscription economy.”

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A co-founder of Blackhawk Network, Wold helped pioneer the modern retail gift card category, fundamentally reshaping consumer purchasing behavior. She has also held senior leadership roles at Rithum, Bazaarvoice, and Sama, where she scaled high-performing teams and strengthened alignment across marketing, sales, and product.

“Recurly is at the forefront of the subscription revolution, providing the essential infrastructure that allows brands to grow and scale,” said Wold. “I am thrilled to join this talented team and focus on building a world-class marketing engine that empowers our customers to deliver incredible subscriber experiences.”

Wold’s appointment underscores Recurly’s continued investment in leadership and innovation as it strengthens its position as the enterprise standard for subscription growth.

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