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Solutions Review Executive Editor Tim King curated this list of notable data management news for the week of May 15, 2026.<\/strong><\/em><\/p>\n Keeping tabs on all the most relevant big data and data management 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 big data and data management news items.<\/p>\n For early access to all the expert insights published on Solutions Review<\/em>, join Insight Jam<\/em><\/a><\/strong><\/span>, a community dedicated to enabling the human conversation on AI.<\/p>\n Alation Launches An AI Governance \u201cSystem Of Record\u201d For Models, Agents, And Regulations<\/strong><\/p>\n Alation has introduced\u00a0Alation AI Governance, a new offering that serves as a single system of record for every AI model, agent, and tool an enterprise runs. The platform registers AI assets with lineage, generates evidence\u2011backed model cards, maps each asset to frameworks like the EU AI Act, GDPR subsets, NIST AI RMF, and ISO 42001, and routes approvals through regulation\u2011aware workflows so executives can pull a live, audit\u2011ready compliance posture on demand.<\/p>\n Read on for more\u2192\u00a0Alation announces new AI governance offering<\/span><\/a><\/span><\/p>\n Arctera\u2019s AI Converge Brings Governed Enterprise Data Directly Into AI Workflows<\/strong><\/p>\n Arctera, part of Cloud Software Group, has introduced\u00a0AI Converge, a new capability in the Arctera Unified Platform that lets teams search, investigate, and analyze governed enterprise data from directly inside their AI tools. AI Converge keeps data under enterprise controls, captures AI interactions (prompts, responses, files) as they occur, and connects them into a complete, traceable record so compliance, investigations, and reviews can rely on a defensible audit trail instead of reconstructed context.<\/p>\n Read on for more\u2192\u00a0Arctera introduces AI Converge<\/span><\/a><\/p>\n Boomi And Couchbase Pair Connectivity And Vector\u2011Native Operational Data For Enterprise AI Agents<\/strong><\/p>\n Boomi and Couchbase are partnering to help enterprises move AI agents from pilot to production by combining Boomi\u2019s connectivity, runtime, and governance with Couchbase\u2019s operational data, recollection, and vector capabilities. The companies will co\u2011engineer solutions that connect live systems, provide trusted semantic retrieval, and expose governed connectivity across AI tools, with Boomi highlighting Boomi Connect, Boomi AI Gateway, and a catalog of over 1,000 managed MCP\u2011enabled tools in its announcement.<\/p>\n Read on for more\u2192\u00a0Boomi and Couchbase partner to power enterprise AI agents<\/span><\/a><\/p>\n CockroachDB Brings Distributed SQL To IBM Power And IBM Cloud For Mission-Critical Modernization<\/strong><\/p>\n Cockroach Labs is making CockroachDB available in the IBM Cloud catalog and supporting it on IBM Power processor\u2011based systems, giving IBM customers a PostgreSQL\u2011compatible distributed SQL database within their existing ecosystem. Enterprises running on IBM Power and IBM Cloud can now modernize mission\u2011critical workloads incrementally, deploying CockroachDB across IBM VPC and Power Virtual Server while consuming it under existing IBM Cloud agreements and support models to align with hybrid and multicloud strategies.<\/p>\n Read on for more\u2192\u00a0CockroachDB brings distributed SQL to IBM Power and IBM Cloud<\/span><\/a><\/span><\/p>\n Enterprise Vault Launches As A Sovereign-Ready Archiving Platform For Modern Data And AI<\/strong><\/p>\n A new\u00a0Enterprise Vault\u00a0platform (distinct from legacy products with the same name) has launched as a complete modern archiving solution built for data sovereignty, control, and legal certainty. It focuses on giving organizations fine\u2011grained retention, governance, and jurisdictional controls across communications and content archives so they can meet evolving regulatory, AI\u2011safety, and evidentiary requirements while still enabling secure search and retrieval.<\/p>\n Read on for more\u2192\u00a0Enterprise Vault launches modern archiving platform<\/span><\/a><\/p>\n Equinix Pushes Data Sovereignty Down Into The Network Itself<\/strong><\/p>\n Equinix is globally expanding\u00a0Equinix Fabric Geo Zones, a network\u2011level sovereignty enforcement layer that keeps traffic and data within defined geographic boundaries across hybrid multicloud environments. Instead of relying on per\u2011cloud settings, Geo Zones makes geography a property of the network path\u2014traffic either stays on compliant routes or is blocked\u2014so a bank, for example, can run real\u2011time multi\u2011cloud transactions while ensuring regulated data never leaves the EU.<\/p>\n Read on for more\u2192\u00a0Equinix puts enterprises in control of data sovereignty<\/span><\/a><\/span><\/p>\n Everpure: Pure Storage Rebrands And Doubles Down On AI-Era Data Management<\/strong><\/p>\n Pure Storage has officially rebranded as\u00a0Everpure, signaling its shift from selling flash arrays to delivering a broader data management platform built for AI and governance. Alongside the new name, Everpure is acquiring AI-powered data discovery startup 1touch so it can look \u201cinside the data\u201d to classify, map, and govern information across environments\u2014positioning the company as a foundation for compliant, AI-ready data rather than just high-performance storage.<\/p>\n Read on for more\u2192\u00a0Pure Storage becomes Everpure<\/span><\/a><\/p>\n Foxit DMS Aims To Replace Document Chaos With One Lifecycle-Centric Platform<\/strong><\/p>\n Foxit has launched\u00a0Foxit DMS, an integrated document management system that unifies storage, editing, e\u2011signing, and governance to tackle \u201cdocument chaos.\u201d The cloud\u2011based platform offers centralized repositories, metadata and OCR search, versioning, check\u2011in\/check\u2011out, and retention policies, fully integrated with Foxit PDF Editor and Foxit eSign, helping organizations cut document retrieval times, reduce tool sprawl by up to 30%, and create a single source of truth for business\u2011critical documents.<\/p>\n Read on for more\u2192\u00a0Foxit launches integrated DMS<\/span><\/a><\/span><\/p>\n Gartner: If You Skip Semantics, Your AI Agents Get Dumber And More Expensive<\/strong><\/p>\n A new Gartner brief warns that enterprises deploying AI agents without a semantic layer\u2014business concepts, relationships, and meaning\u2014are seeing inaccurate outputs and wasted AI spending. Gartner argues that grounding agents in semantic models and knowledge graphs tied to trusted data sources is now a prerequisite for reliable autonomous behavior, because agents operating only on raw tables and unstructured text are far more likely to hallucinate, mis-route actions, and drive up token and infrastructure costs.<\/p>\n Read on for more\u2192\u00a0Gartner says lack of semantics causes inaccurate AI agents and wasted spending<\/span><\/a><\/p>\n Graphon AI Raises $8.3M To Build A \u201cPre\u2011Model Intelligence Layer\u201d That Replaces Context Windows With Structured Memory<\/strong><\/p>\n Former Amazon and Meta scientists have launched\u00a0Graphon AI\u00a0with\u00a0$8.3 million\u00a0in seed funding to build a pre\u2011model intelligence layer that turns raw multimodal data into persistent, relational memory for enterprise AI. By organizing data into structured graphs and long\u2011lived memory instead of shoving ever\u2011more tokens into context windows, Graphon aims to help foundation models reason over connected systems at scale, improving accuracy and reducing hallucinations on complex enterprise workloads.<\/p>\n Read on for more\u2192\u00a0Graphon AI raises $8.3M for pre\u2011model intelligence<\/span><\/a><\/p>\n MIT Tech Review + EDB: Sovereign AI Leaders Are Getting 5x The ROI<\/strong><\/p>\n A new MIT Technology Review Insights report with EDB finds that organizations \u201cdeeply committed\u201d to AI and data sovereignty\u2014controlling data, infrastructure, models, and governance\u2014are delivering\u00a05x<\/strong>\u00a0the ROI on generative and agentic AI compared to peers. With more than half of enterprises already running autonomous agents in production, the report argues sovereignty has become the strongest predictor of AI success, not model choice, because control over where data lives and where models run now shapes both risk and value.<\/p>\n Read on for more\u2192\u00a0AI sovereignty and enterprise ROI<\/span><\/a><\/p>\n NetApp Leans Further Into Intelligent Data Infrastructure For AI<\/strong><\/p>\n NetApp is updating its intelligent data infrastructure and AI Data Engine to remove data bottlenecks for AI projects, building on its co\u2011engineered stack with NVIDIA. The enhancements focus on providing a secure, unified AI data platform that can prepare, move, and serve data efficiently to GPU clusters, so enterprises can scale GenAI and analytics without building bespoke pipelines for each workload.<\/p>\n Read on for more\u2192\u00a0NetApp expands intelligent data infrastructure for AI<\/span><\/a><\/p>\n Quest Turns Its Trusted Data Management Platform Into An AI-Ready Modeling And Governance Hub<\/strong><\/p>\n Quest Software is expanding its Trusted Data Management Platform with\u00a0Quest Data Modeler\u00a0and\u00a0Quest Data Intelligence, aiming to give data teams one governed foundation that spans how data is modeled and how it is accessed. The new cloud\u2011native modeler brings collaborative, AI\u2011assisted data modeling with shared business definitions across modern stacks like Microsoft Fabric, Databricks, and Snowflake, while Quest Data Intelligence layers in AI\u2011powered cataloging, lineage, policy, and assistant\u2011driven workflows so organizations can build reusable, governed data products that are ready for analytics and AI out of the box.<\/p>\n Read on for more\u2192\u00a0Quest adds Data Modeler and Data Intelligence to its trusted data platform<\/span><\/a><\/span><\/p>\n Redgate: Hybrid Database Sprawl Has Finance Teams In Constant Audit And Compliance Fire Drills<\/strong><\/p>\n Redgate\u2019s 2026 State of the Database Landscape: Finance Edition finds that 81% of finance organizations faced a compliance audit in the past 12 months, as hybrid database complexity reaches a breaking point. With 42% of finance firms now running in a permanent hybrid model and over a third juggling four or more database platforms, teams report rising risk, slower change delivery, and growing pressure to standardize tooling and processes before AI and automation make the blast radius even larger.<\/p>\n Read on for more\u2192\u00a081% of finance orgs hit by audits as hybrid database complexity spikes<\/span><\/a><\/p>\n SAP + Snowflake Make SAP Business Data And Semantics A First-Class Citizen In The AI Data Cloud<\/strong><\/p>\n SAP and Snowflake have made their\u00a0bidirectional, zero\u2011copy integration\u00a0generally available so customers can bring semantically rich SAP Business Data Cloud products directly into the Snowflake AI Data Cloud\u2014and push insights back\u2014without ETL or data duplication. SAP Business Data Cloud Connect for Snowflake gives near real\u2011time access to modeled SAP data (inventory, sales, finance, etc.) alongside other enterprise and external data, providing the governance, semantics, and context AI agents need and allowing teams to build agents on Snowflake Cortex in minutes.<\/p>\n Read on for more\u2192\u00a0SAP and Snowflake zero\u2011copy integration for enterprise AI<\/span><\/a><\/span><\/p>\n Scality ADI Promises Autonomous, Open-Code Data Infrastructure For AI At Multi-Petabyte Scale<\/strong><\/p>\n Scality has introduced\u00a0Scality ADI (Autonomous Data Infrastructure), a sustainable, AI-era data platform that layers an AI-powered operations engine called Guardian on top of Scality\u2019s object storage to deliver self\u2011optimizing storage at multi\u2011petabyte to exabyte scale. ADI unifies flash, disk, and other media under one namespace with policy-driven lifecycle management and exposes an MCP extensibility model so customers can plug in their own AI tools, while shipping as open\u2011code software with outcome\u2011based SLAs tailored to large enterprises, governments, and sovereign environments that demand inspectability and long-term resilience.<\/p>\n Read on for more\u2192\u00a0Scality ADI: Autonomous data infrastructure for enterprise AI<\/span><\/a><\/span><\/p>\n Insight Jam<\/em> and Donald Farmer Launch Waitlist for New Mesh Expert Group on the Last Mile: Analytics Leadership in the Age of AI<\/em><\/strong><\/p>\n 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.<\/p>\n 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.<\/p>\n Join the waitlist on Insight Jam<\/em><\/a><\/p>\n The Editors Lens: The Universal Semantic Layer is Becoming the Control Pane for Enterprise AI by Tim King<\/strong><\/p>\n Enterprise AI adoption is accelerating quickly, but it\u2019s clear organizations continue to struggle with what some leaders now describe as the \u201cAI trust gap<\/a><\/strong>.\u201d As AI become more deeply embedded into operational workflows, enterprises are discovering that access to data alone is not enough to ensure reliable outcomes, especially as AI requires consistent interpretation, governed access, and trusted context across increasingly distributed environments.<\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n Information Gain Series: Why Data is Like Fire: The AI Accountability Crisis No One Talks About<\/strong><\/p>\n During a recent episode of\u00a0Insight Jam<\/em>, Solutions Review<\/em> President Doug Atkinson sat down with\u00a0Sujay Dutta<\/span><\/span>\u00a0to discuss one of the least understood realities of the AI era: most organizations are attempting to scale artificial intelligence on top of data foundations that were never designed for real-time AI execution.<\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n Information Gain Series: AI Governance in Cybersecurity Has a Leadership Problem<\/strong><\/p>\n This is the central argument that emerged from a recent episode of\u00a0The Cyber Circuit<\/em>\u00a0podcast on Insight Jam<\/a>, featuring former CISO\u00a0Manju Mude<\/a>\u00a0and cybersecurity advisor\u00a0Michael Morgenstern<\/a>. The conversation is worth your time. But the conclusions it surfaces point to a broader structural problem that deserves sustained editorial attention.<\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n –<\/p>\n Solutions Review <\/i>Surpasses 250K on YouTube to Power Unmatched Media Momentum in Enterprise Tech & the Human Impact of AI<\/b><\/p>\n Solutions Review<\/em>\u00a0has officially surpassed\u00a0250,000 subscribers on YouTube<\/a><\/strong>, a milestone that\u2019s about more than just the number. This moment marks the payoff of a deliberate, two-year strategy\u00a0centered on authoritative video<\/a><\/strong>,\u00a0human-led insight<\/a><\/strong>, and an early recognition of how AI search engines ingest information, assign trust, and surface sources at scale.<\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n Solutions Review<\/em> Editors Launch New ‘Human-AI Ledger’ Newsletter to Chronicle the Human Impact of AI<\/strong><\/p>\n Artificial intelligence is everywhere\u2014but understanding its human impact has never been more urgent. That’s where Solutions Review<\/em>‘s latest newsletter, The Human-AI Ledger<\/i><\/a><\/strong><\/span>, 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\u2014the non-technical, deeply human dimensions that determine whether this technological revolution helps us thrive or leaves us behind.<\/span><\/p>\n Sign up now to get a weekly debrief of the latest human-centric news, insights, and commentary coming out of this emerging discussion.<\/span><\/p>\nTop Data Management News for the Week Ending May 15,<\/strong>\u00a02026<\/strong><\/h2>\n
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<\/a>Watch this space each week as our editors will share upcoming events, new thought leadership, and the best resources from Insight Jam<\/em>, Solutions Review’s enterprise tech community<\/a><\/strong><\/span> 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.<\/p>\n