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Solutions Review Executive Editor Tim King curated this list of notable analytics and data science news for the week of May 15, 2026.<\/strong><\/em><\/p>\n Keeping tabs on all the most relevant analytics and data science 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<\/em> editors will curate vendor product news, mergers and acquisitions, venture capital funding, talent acquisition, and other noteworthy analytics and data science 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 Anthropic Brings \u201cClaude For Small Business\u201d To Where SMBs Already Work<\/strong><\/p>\n Anthropic has launched\u00a0Claude for Small Business, a packaged offering that embeds Claude into popular tools like QuickBooks, HubSpot, Canva, DocuSign, Google Workspace, and Microsoft 365 so small teams can automate finance, ops, sales, marketing, HR, and customer service workflows without building from scratch. The bundle includes prebuilt \u201cClaude Cowork\u201d workflows plus monthly Agent SDK credits for paying customers, so even very small businesses can start orchestrating agents across their existing SaaS stack and gradually move from ad hoc chat to repeatable automations.<\/p>\n Read on for more\u2192\u00a0Claude for Small Business<\/span><\/a><\/p>\n Dataiku\u2019s \u201cExpert-to-Agent\u201d Lets Domain Pros Turn Their Know-How Into Governed AI Agents<\/strong><\/p>\n Dataiku has introduced\u00a0Expert-to-Agent (E2A), a new capability that lets business experts turn their domain knowledge into production AI agents on Dataiku\u2019s governed platform. E2A provides a visual, inspectable interface for designing, grounding, and orchestrating agents across company data, documents, and systems, shifting AI from a \u201cproductivity layer\u201d to an operational decision backbone where agents make real decisions on real data with clear accountability and traceability.<\/p>\n Read on for more\u2192\u00a0Dataiku Expert-to-Agent<\/span><\/a><\/p>\n Economist Impact: Leading Firms Make AI Deliver By Redesigning How Work Gets Done, Not Just Buying Tools<\/strong><\/p>\n Economist Impact\u2019s\u00a0\u201cMaking AI Deliver\u201d\u00a0benchmark, based on 1,200 executives and 27 in\u2011depth interviews, finds that AI leaders succeed by treating AI as an operating model change\u2014clarifying ownership, redesigning workflows, and investing in data and governance\u2014rather than as isolated pilots. The report emphasizes that durable impact comes when organizations align AI initiatives with strategy, metrics, and risk appetite, and continuously iterate on deployment based on feedback from the people actually using and affected by AI.<\/p>\n Read on for more\u2192\u00a0Economist Impact: Making AI Deliver<\/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 Golden Analytics Comes Out Of Stealth With $7M To Build AI\u2011Native BI That Writes Its Own Dashboards<\/strong><\/p>\n Golden Analytics has emerged from stealth with\u00a0$7 million<\/strong>\u00a0in seed funding from NEA and Madrona to build an AI\u2011native business intelligence platform designed around how people actually work with data. Its core AI system can automatically interpret datasets, surface key insights in seconds, suggest and generate visualizations and dashboards, and turn raw data into presentation\u2011ready outputs, allowing users to interact via natural language, direct manipulation, or full automation rather than traditional report building.<\/p>\n Read on for more\u2192\u00a0Golden Analytics debuts with $7M seed funding<\/span><\/a><\/span><\/p>\n Rocket Software Buys Vertica To Bolt High-Performance Analytics And AI Onto Mission-Critical Cores<\/strong><\/p>\n Rocket Software has completed its acquisition of\u00a0Vertica\u00a0from OpenText, folding the enterprise-grade analytics database into its modernization portfolio. The deal brings more than 600 customers and 170 employees to Rocket and is meant to let enterprises run advanced analytics and GenAI directly on trusted core systems\u2014across cloud, on-prem, and hybrid deployments\u2014so they can modernize mainframes and other critical platforms without offloading data to separate analytics stacks.<\/p>\n Read on for more\u2192\u00a0Rocket Software completes acquisition of Vertica<\/span><\/a><\/p>\n Vena Adds Excel-Native Financial Consolidation And A Unified Agentic Suite For Orchestrated Planning<\/strong><\/p>\n At Excelerate Finance Fest 2026, Vena announced an\u00a0AI-enabled Financial Consolidation\u00a0product that brings audit\u2011ready consolidation and close into its Microsoft\u2011native platform. The company also highlighted the GA of\u00a0Vena Planning Agent,\u00a0Vena MCP Server, and a unified data layer with Acterys, positioning Vena as an \u201cOrchestrated Planning, Decisioning and Close\u201d platform where people, data, processes, and agents work together across planning, decisioning, and financial close.<\/p>\n Read on for more\u2192\u00a0Vena announces financial consolidation and AI-amplified innovations<\/span><\/a><\/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 –<\/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>\nAnalytics and Data Science News for the Week of May 15<\/strong>, 2026<\/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