AI News for the Week of May 8; Updates from Anthropic, Cribl, IBM & More

Solutions Review Executive Editor Tim King curated this list of notable artificial intelligence news for the week of May 8, 2026.
Keeping tabs on all the most relevant artificial intelligence news can be a time-consuming task. As a result, our editorial team aims to provide a summary of the top headlines from the last week in this space. Solutions Review editors will curate vendor product news, mergers and acquisitions, venture capital funding, talent acquisition, and other noteworthy artificial intelligence news items.
For early access to all the expert insights published on Solutions Review, join Insight Jam, a community dedicated to enabling the human conversation on AI.
AI News for the Week of May 8, 2026
Adobe’s Acrobat Productivity Agent Turns PDFs Into Interactive Workspaces And Content Starters
Adobe has introduced a new Acrobat productivity agent, an AI assistant that lets users chat with PDFs, uncover insights, and spin up new content like presentations, podcasts, and social posts. The agent orchestrates tools and models across Acrobat Studio, AI Assistant, and Adobe Express Premium, and can also assemble “PDF Spaces”—personalized, shareable hubs of PDFs, documents, URLs, and notes that the agent can structure and enrich based on user prompts.
Read on for more→ Adobe Acrobat productivity agent
Aera Lets Business Users Go From Situation To Action In A Single, Auditable Conversation
Aera Technology is adding agentic reasoning to its decision intelligence platform so users can describe a situation in natural language and move to a validated action without switching tools or rebuilding context. The system combines reasoning and execution inside one governed environment, keeping every decision traceable from the initial question through the data used and the action taken, with permissions and controls enforced at each step.
Read on for more→ Aera agentic reasoning for enterprise decisions
Anthropic Forms A New Enterprise AI Services Firm With Wall Street Backers To Bring Claude Into Mid-Market Operations
Anthropic is creating a new enterprise AI services company, backed by Blackstone, Hellman & Friedman, and Goldman Sachs, to embed Claude AI into the core operations of mid-sized businesses. The independent firm will hire Anthropic-aligned engineers and work closely with Claude’s research and product teams to design, deploy, and continuously update bespoke systems for sectors like financial services, healthcare, manufacturing, and infrastructure—targeting organizations that see AI’s potential but lack the in‑house expertise to operationalize it.
Read on for more→ Anthropic enterprise AI services company
Cleo Adds Live, AI-Powered Chargeback Prevention On Top Of Its Supply Chain Orchestration Console
Cleo is extending its Cleo Integration Cloud with an AI‑powered Chargeback Prevention solution that gives suppliers a live view of order performance across retailers and channels. By correlating EDI, API, and operational signals in a unified orchestration console, Cleo flags compliance risks and late‑order patterns in flight so suppliers can fix issues before they become retail deductions and margin‑eroding chargebacks.
Read on for more→ Cleo AI-powered chargeback prevention
Clutch’s AI Visibility Dashboard Shows B2B Agencies How They Appear In ChatGPT, Claude, Perplexity, And Gemini
Clutch has launched the AI Visibility Dashboard, the first tool aimed specifically at helping B2B service providers understand and improve how they show up in AI-generated search results. Built with Conductor, it combines Clutch’s marketplace data with AI monitoring to reveal where and how often an agency appears across ChatGPT, Claude, Perplexity, and Gemini, and how their Clutch profile influences visibility in this new discovery channel.
Read on for more→ Clutch AI Visibility Dashboard
CollectivIQ Expands Its “AI Consensus” Platform To Tackle Hallucinations, Bias, And Collaboration
CollectivIQ has rolled out major upgrades to its AI consensus platform, which queries ChatGPT, Claude, Gemini, Grok, and up to ten other models in parallel, then synthesizes a single annotated answer to reduce hallucinations and vendor bias. New features include multimodal image generation, integrated payment capture, richer project organization and file support, and improved retrieval, making it easier for teams to collaborate on trustworthy, explainable outputs rather than debating which single LLM to trust.
Read on for more→ CollectivIQ platform upgrades
Collibra AI Command Center Becomes A Real-Time Control Plane For Every Agent And Model In The Enterprise
Collibra has launched AI Command Center, a unified control plane designed to give enterprises real-time, automated oversight of agentic AI across the full lifecycle. The platform centralizes visibility into which agents and models are deployed, tracks ownership and behavior, surfaces continuous trust and risk signals, and—through a new partnership with Giskard—automates testing and monitoring so teams can detect model drift or risky agent actions and intervene before issues turn into incidents.
Read on for more→ Collibra AI Command Center
Dyna Software’s Platform Copilot Uses Agentic AI To Configure And Build ServiceNow Environments
Dyna Software has launched Platform Copilot, an agentic AI tool that integrates with a customer’s ServiceNow development instance to autonomously configure, design, and build on the platform. The copilot inspects schema and existing configuration, determines required changes, validates them, and then applies those changes based on natural-language prompts from administrators—promising up to 80% faster production-ready ServiceNow builds while keeping humans in the loop for approvals.
Read on for more→ Platform Copilot for ServiceNow
Fivetran’s 2026 Agentic AI Readiness Index: Only 15% Have A Data Foundation That Can Safely Run Agents At Scale
Fivetran’s new 2026 Agentic AI Readiness Index finds that just 15% of organizations are fully prepared to support agentic AI in production, even though nearly 60% are already investing millions to tens of millions in the technology. On average, enterprises score only about 61–62% on Fivetran’s readiness scale across data freshness, lineage, governance, and interoperability, with data quality and lineage (42%), regulatory compliance and sovereignty (39%), and security and privacy risk (39%) cited as the top blockers—underscoring that infrastructure, not models, is now the limiting factor for agentic AI ROI.
Read on for more→ Fivetran 2026 Agentic AI Readiness Index
EPAM And Anthropic Form Multi-Year Partnership To Build Safe, Enterprise-Grade Claude Systems At Scale
EPAM Systems and Anthropic have entered a strategic, multi-year partnership to help enterprises move from AI experimentation to large-scale, safe applied AI. EPAM will build a dedicated Claude practice with more than 10,000 Claude-certified architects (up from 1,300 today) and has already trained over 20,000 employees via Anthropic Academy, combining EPAM’s engineering and delivery capabilities with Claude models, Claude Code, the Claude Agent SDK, and Claude Security to modernize complex legacy operations, automate workflows, and analyze large datasets under robust governance.
Read on for more→ EPAM–Anthropic safe applied AI partnership
HBR–Cribl: 82% Expect A Financial Hit Just To Meet Agentic AI’s Infrastructure Demands
A new Harvard Business Review Analytic Services report, sponsored by Cribl, finds that AI ambition is far outpacing infrastructure readiness. While leaders want agentic AI that can act across systems, 82% expect a material financial hit just to meet the infrastructure demands, and many cite data exhaust, fragmented telemetry, and legacy tooling as the true bottlenecks—driving interest in observability pipelines and “data engines for AI” rather than more models alone.
Read on for more→ AI readiness gap and infrastructure bottleneck
IBM CEO Study: 76% Now Have A Chief AI Officer, And AI-First C-Suites Are Scaling More Initiatives
IBM’s 2026 CEO Study finds that 76% of surveyed organizations now have a Chief AI Officer, up from just 26% in 2025, as CEOs restructure leadership teams for AI-first transformation. Companies that redesign five core areas—technology, finance, HR, operations, and cross-functional collaboration—around AI have scaled 10% more AI initiatives than peers, while 64% of CEOs say they’re comfortable using AI-generated input for major strategic decisions even as 61% feel boards are pushing AI adoption faster than they’d like.
Read on for more→ IBM 2026 CEO AI Study
Leah Maestro Positions Itself As A “Super Orchestrator” Intelligence Layer Across Enterprise Systems
Leah is launching Leah Maestro, described as the first “Super Orchestrator” for the enterprise: a single intelligence layer that coordinates agents, tools, and workflows across disparate systems. Rather than each domain running its own siloed agents, Maestro sits over the stack to understand context, choose the right tools, and orchestrate multi-step work end to end, aiming to give organizations one brain directing many specialized AI “hands.”
Read on for more→ Leah Maestro super orchestrator
Lenovo + ServiceNow Tie Device Intelligence To AI-Native Workflows To Cut IT Costs And Improve Governance
Lenovo and ServiceNow are expanding their multi-year partnership to help enterprises reduce IT support costs, accelerate employee productivity, and strengthen governance with AI-native operations. By combining Lenovo’s real-time device telemetry, lifecycle management, and global delivery infrastructure with the ServiceNow AI Platform and AI Control Tower, organizations can automate device lifecycle workflows end to end, standardize service delivery across regions, and scale managed AI services from roughly 5,000 to 50,000 employees without rebuilding systems market by market.
Read on for more→ ServiceNow–Lenovo AI-native operations
New Relic Knowledge Gives AI And Engineers A RAG Layer Over Runbooks, Incidents, And Service Docs
New Relic is adding an AI knowledge layer that uses Retrieval Augmented Generation (RAG) to ground New Relic AI’s responses in a customer’s own documentation, incident history, and service data. Through the New Relic AI knowledge connector, teams index internal runbooks and knowledge bases so when engineers—or AI agents—ask questions, New Relic can retrieve relevant internal context and combine it with LLM reasoning to accelerate alert triage, improve answer accuracy, and reduce manual searching across tooling.
Read on for more→ New Relic Knowledge
NETRIO Launches AI Advisory Practice To Help Mid-Market Firms Move From Pilots To Production Value
Managed service provider NETRIO has created an AI Advisory and Transformation practice aimed at mid‑market enterprises stuck in AI experimentation. Led by new VP of AI Services Al Calabrese, the team offers evaluation, strategy, governance, deployment, and adoption services so customers can move from disconnected pilots to responsible, scalable AI capabilities that are tied directly to business objectives.
Read on for more→ NETRIO AI advisory and transformation practice
NVIDIA And ServiceNow Pair Project Arc Desktop Agents With Data-Center Governance For Fully Autonomous, Yet Guardrailed, Work
NVIDIA and ServiceNow are extending their partnership to deliver specialized autonomous AI agents across the enterprise, from employee desktops to AI factories in the data center. ServiceNow’s new Project Arc is a long‑running autonomous desktop agent secured by NVIDIA’s OpenShell runtime and governed by ServiceNow AI Control Tower, while the Control Tower is now integrated into NVIDIA’s Enterprise AI Factory validated design, creating a unified governance layer that monitors value, risk, and security across agent workloads and large-scale model infrastructure.
Read on for more→ NVIDIA–ServiceNow autonomous enterprise agents
OneStream: 47% Of Execs Admit They’ve Made Material Decisions On Bad Data—And AI Is About To Amplify That
A new OneStream study of 352 finance and IT executives shows that 47% have made material business decisions using inaccurate, incomplete, or outdated data, and 72% report bad-data costs of at least $500,000. Only 19% pull the majority of AI inputs from a single, centralized system, 61% second‑guess their data at least monthly, and 37% have incurred more than $1 million in damages—prompting OneStream to warn that, without stronger data governance and alignment between Finance and IT, AI will accelerate and amplify errors rather than improve outcomes.
Read on for more→ Companies are scaling AI on data they don’t trust
Pinecone Opens A Frankfurt Region And Unveils Nexus, KnowQL, And A Knowledge App Marketplace For Agentic AI
Pinecone is expanding into AWS Europe (Frankfurt) with its serverless vector database, giving customers in Germany, Austria, Switzerland, and broader central Europe low‑latency AI workloads with local data residency. The launch comes alongside Pinecone Nexus (a knowledge engine for AI agents), KnowQL (a declarative retrieval language), a Marketplace of 90+ production‑ready knowledge applications, a $20/month Builder tier, and new features like native full‑text search and Dedicated Read Nodes that can cut read costs by up to 97% at scale.
Read on for more→ Pinecone Frankfurt & new knowledge infrastructure
Pit Raises $16M To Offer “AI Product Teams As A Service” That Turn Messy Workflows Into Custom Software
Stockholm-based Pit has emerged from stealth with $16 million in seed funding led by Andreessen Horowitz, with participation from Lakestar and family offices from the Stena and Lundin groups. Instead of selling generic SaaS, Pit analyzes how a company actually works—often across spreadsheets, emails, and fragmented tools—then uses AI to generate tailored, production-grade systems via Pit Studio and Pit Cloud that automate processes like contract validation, campaigns, logistics, and approvals, with one early customer saving 10,000+ hours annually and eliminating validation errors.
Read on for more→ Pit $16M AI operations platform
Precisely Adds A Data Integration Agent, Data Product Marketplace, And MCP Server To Make “Agentic-Ready” Data Real
Precisely is expanding its Data Integrity Suite with new capabilities designed to deliver “Agentic‑Ready Data”—high‑quality, integrated, governed, and enriched data for AI and automation. The release introduces a Data Integration Agent that keeps distributed data synchronized into governed products, a data product marketplace (via partner Huwise) so teams can discover and reuse those products, and a Precisely‑hosted MCP server plus expanded APIs that let AI agents access trusted data and metrics as first‑class tools.
Read on for more→ Precisely agentic-ready data enhancements
Proofpoint’s Prism Investigator Uses Agentic AI To Reconstruct Cross-Channel Events For Highly Regulated Orgs
Proofpoint has unveiled Prism Investigator, a source‑agnostic, agentic AI investigations platform in its Digital Communications Governance portfolio. Built for highly regulated and highly litigious organizations, Prism connects directly to M365 communications, archives, and business records, then uses Human Communications Agents to correlate messages, trade data, logs, and other signals into explainable, defensible narratives that slash investigation times from weeks to minutes while maintaining full audit trails of AI reasoning.
Read on for more→ Proofpoint Prism Investigator
Rackspace And AMD Plan A Fully Managed, Governed Enterprise AI Cloud So Customers Don’t Have To Stitch GPUs Themselves
Rackspace Technology and AMD have signed a memorandum of understanding to co-develop a new category of governed Enterprise AI Cloud built for regulated and mission-critical workloads. The collaboration will embed AMD Instinct GPUs and EPYC CPUs into a fully managed Rackspace stack—from hardware through inference runtime and agents—so enterprises can get dedicated, high-performance AI compute with integrated security, governance, and SLAs instead of renting GPUs by the hour and managing integration and accountability on their own.
Read on for more→ Rackspace–AMD governed AI infrastructure
SAP Buys Prior Labs To Build A European Frontier AI Lab For Tabular Foundation Models
SAP plans to acquire Prior Labs, a Freiburg-based pioneer in tabular foundation models (TFMs), and invest more than €1 billion over four years to grow it into a globally leading frontier AI lab focused on structured business data. Prior Labs will operate as an independent unit to maintain research velocity, while SAP uses SAP AI Core, Business Data Cloud, and its agentic layer (Joule) to bring TFM breakthroughs—optimized for ERP-style tables rather than internet text—into products across finance, supply chain, HR, and industry clouds.
Read on for more→ SAP to acquire Prior Labs
ServiceNow And Accenture Put “Forward-Deployed” AI Engineers Inside Customer Environments To Build Agentic Workflows That Actually Ship
ServiceNow and Accenture are launching a Forward Deployed Engineering (FDE) program that embeds joint teams directly inside client environments to design, build, and scale agentic AI workflows on the ServiceNow AI Platform. Clients get access to more than 300 prebuilt agent skills and workflows plus the ServiceNow AI Control Tower, which governs and monitors agents across systems; the FDE pods then co-create value‑chain‑specific automations and take them from first build to enterprise-wide deployment in a single continuous motion.
Read on for more→ ServiceNow–Accenture FDE agentic AI program
Teradata’s Autonomous Knowledge Platform Aims To Be The “Brain And Nervous System” For Enterprise AI
Teradata has announced the Teradata Autonomous Knowledge Platform, a unified layer that combines data, analytics, and agentic AI across Teradata Cloud and on‑premises Teradata Factory environments. It bundles Teradata AI Studio, Tera workspaces and agents, a Connected Data Foundation, and sovereign AI options with Dell and NVIDIA, giving enterprises a governed knowledge fabric where agents can act on trusted context instead of scattered datasets, with Teradata Cloud arriving in Q3 2026 and Factory following later in the year.
Read on for more→ Teradata Autonomous Knowledge Platform
Wiley Taps Former Microsoft Exec Jessica Kowalski To Lead Research Business Into Its AI-First Phase
Wiley has appointed Jessica Kowalski as Executive Vice President and General Manager, Research, effective May 11, 2026, succeeding Jay Flynn. Kowalski joins from Microsoft with over 20 years of experience running knowledge, data, research publishing, and AI‑enabled businesses at global scale—including senior roles at AWS and RELX—as Wiley positions its research division to lean more heavily into AI and data-driven services for researchers and institutions.
Read on for more→ Wiley names Jessica Kowalski EVP & GM, Research
Expert Insights
Watch this space each week as our editors will share upcoming events, new thought leadership, and the best resources from Insight Jam, Solutions Review’s enterprise tech community where the human conversation around AI is happening. The goal? To help you gain a forward-thinking analysis and remain on-trend through expert advice, best practices, predictions, and vendor-neutral software evaluation tools.
Solutions Review is Getting Set to Host OneTrust for the Spotlight event: AI Arms Race: The Survival and Reinvention of Privacy on May 12
Viewers will learn why AI introduces long-term ambiguity, not just complexity, and how privacy leaders must redesign their strategies and programs to handle probabilistic systems; see how risk is increasingly transferred from the technology provider to the enterprise; and review why accountability becomes a litmus test for the long-term viability of any privacy program or control.
Solutions Review is Getting Set to Host Kaseya for the Spotlight event: AI for IT: Unlocking Measurable Productivity Gains Across IT Teams on June 18
Register now to to hear Chris Swecker, Director of Managed Services at Appalachia Technologies, share practical, real-world insights from leading AI initiatives within small to midsize IT environments. Learn what has worked, what hasn’t and where AI is delivering meaningful day-to-day impact across IT operations — driving efficiency, consistency and smarter decision-making at scale.
Insight Jam and Donald Farmer Launch Waitlist for New Mesh Expert Group on the Last Mile: Analytics Leadership in the Age of AI
Over twelve monthly sessions, a cohort of just eight senior analytics and BI leaders works through the practical and strategic dimensions of leading in an AI-augmented environment.
The sessions build progressively: early months establish a framework for where human judgment remains indispensable; middle months address the operational pressures, data quality, governance, the proliferation of shadow AI tools, and conversational interfaces that complicate deployment in real organizations; later months turn toward team development, role evolution, and a planning horizon of two years.
Join the waitlist on Insight Jam
NEW Episode of The Human Conversation with Doug Atkinson Featuring Andreas Welsch
Andreas Welsch has watched a new kind of problem arrive in corporate inboxes — reports that look like reports, summaries that look like summaries, and none of it says anything. This is the episode for anyone who needs to lead through the AI transition, not just survive it.
Insight Jam’s Mesh Lab Episode 4 Now Available: Designing for the Human Advantage
The panel discusses shifting from traditional, knowledge-based learning to experiential models that build “durable skills” like skepticism, adaptability, and judgment. From addressing a workforce crisis where new hires lack essential human skills , to scaling project-based learning , discover how schools and employers can cultivate the uniquely human capabilities that machines cannot replicate.
The Editors Lens: The Best AI Literacy Courses and Online Training by Tim King
AI literacy has rapidly evolved from a niche technical competency into a foundational workforce skill. As generative AI reshapes education, business operations, communication, and knowledge work itself, organizations and individuals alike are realizing that understanding AI is no longer optional. Yet many professionals are also discovering an important distinction between learning how to build AI tools and learning how to understand, evaluate, and responsibly apply them. That distinction is where AI literacy enters the conversation.
The Editors Lens: How to Measure Brand Visibility in AI Search Using HubSpot by William Jepma
Traditional SEO metrics were built for a world where users click links. Answer Engine Optimization (AEO) operates under a fundamentally different assumption: the engine answers the question directly, and the user may never click anything. Your brand either appears in that answer or it does not.
The Editors Lens: AI Won’t Just Impact Consulting: It Changes How to Engage Experts by Tim King
At the surface level, the story is straightforward. AI companies are no longer content to sell models alone. They are moving into the services layer, where the real enterprise value has historically been captured. Anthropic’s approach centers on embedding intelligence directly into workflows, allowing systems to act, adapt, and improve continuously inside the business rather than advising from the outside. And in that world, the most valuable insight will not come from those who can best explain the past. It will come from those closest to the state of play.
Thought Leaders: Designing for the Human Advantage: How We Actually Develop Human Capability in the Age of AI by Dr. Michelle Ament
We’ve crossed a milestone in the evolution of work. What once was the realm of academic thought experiments, from early intelligent agent research to modern human‑computer interaction frameworks is now impacting how businesses design roles, decisions, and operations at scale.
Information Gain Series: The Corporate Ladder Problem: How AI is Killing Entry-Level Work
During a recent episode of The Human Conversation, Solutions Review President Doug Atkinson sat down with AI thought leader, advisor, and author Andreas Welsch to discuss how artificial intelligence is rapidly reshaping organizational structures, hiring strategies, productivity expectations, and the future of human expertise itself. One theme repeatedly surfaced throughout the discussion: organizations may be moving too aggressively to automate the very roles traditionally responsible for developing future expertise.
Information Gain Series: Why Human Judgment Still Matters: Age of AI Questions
AI has entered a new phase. During a recent episode of The Human Conversation, Solutions Review President Doug Atkinson sat down with data analytics expert and international keynote speaker Dr. Joe Perez to discuss one of the defining questions of the AI era: what happens when machines begin outperforming humans across large categories of cognitive work?
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Mini Jam, Q1 2026 On-Demand: The Skills Reckoning on March 31
This program is designed not simply to comment on change, but to explore the structural redesign of education and workforce systems now required to keep pace with it. For leaders operating at the intersection of AI, education, upskilling, and L&D, the Q1 Mini Jam offers a clear view into the forces reshaping how capability is defined, developed, and deployed in the years ahead.
Solutions Review Editors Publish New Whitepaper – Authority with Video & How Marketers Win GenAI Search
This is a market-presence strategy for enterprise marketers who want to move from campaign execution to category influence and even niche building, while also positioning their brands for visibility inside the large language models that increasingly shape how buyers discover, evaluate, and shortlist enterprise tech solutions.
Solutions Review Surpasses 250K on YouTube to Power Unmatched Media Momentum in Enterprise Tech & the Human Impact of AI
Solutions Review has officially surpassed 250,000 subscribers on YouTube, a milestone that’s about more than just the number. This moment marks the payoff of a deliberate, two-year strategy centered on authoritative video, human-led insight, and an early recognition of how AI search engines ingest information, assign trust, and surface sources at scale.
Solutions Review Editors Launch New ‘Human-AI Ledger’ Newsletter to Chronicle the Human Impact of AI
Artificial intelligence is everywhere—but understanding its human impact has never been more urgent. That’s where Solutions Review‘s latest newsletter, The Human-AI Ledger, comes in. Designed to chronicle how AI is reshaping the way we learn, work, lead, and live, this newsletter explores the soft side of AI—the non-technical, deeply human dimensions that determine whether this technological revolution helps us thrive or leaves us behind.
Sign up now to get a weekly debrief of the latest human-centric news, insights, and commentary coming out of this emerging discussion.
How One Solutions Review Article Reshaped AI Answers Across an Entire Software Category
Something just happened in the AI search landscape that most companies will miss. But the ones who understand it will have a multi-year advantage. In January, Solutions Review recorded a 324 percent increase in media domain citations across AI answer engines in less than 30 days.
For consideration in future AI news roundups, send your announcements to the editor: tking@solutionsreview.com.
