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Solutions Review Executive Editor Tim King curated this list of notable analytics and data science news for the week of February 27, 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 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 Alteryx\u2013Collibra Tie-Up Turns Lineage Into A Frontline Control For AI Analytics<\/strong><\/p>\n Alteryx is highlighting a new integration between the Alteryx One Platform and Collibra Data Lineage that gives joint customers full traceability from data origin through Alteryx workflows to downstream reports and models. Users can see workflow-level and column-level lineage, map data flows for regulatory audits, and spot where stale or unapproved datasets are feeding analytics or AI, improving trust and compliance. By surfacing frequently accessed sources and duplicate work, the integration also helps prioritize which assets to consolidate or modernize in cloud platforms, positioning governance as an accelerator\u2014not a blocker\u2014for AI-ready analytics.<\/p>\n Read on for more\u2192\u00a0https:\/\/www.alteryx.com\/blog\/gain-data-transparency-with-collibra-and-alteryx<\/span><\/a><\/span><\/p>\n Axonis Decision Intelligence Creates A \u201cSystem Of Record\u201d For AI-Assisted Decisions<\/strong><\/p>\n Axonis has launched Axonis Decision Intelligence, a federated platform layer that records how AI-assisted decisions are made\u2014linking data, policies, human input, and actions into a real-time decision graph. Sitting in the execution path where data is accessed and policies are evaluated, the system captures decision traces as they happen so organizations can audit who approved what and why, instead of reconstructing context from logs after the fact. Built on Axonis\u2019 federated architecture and an enterprise implementation of the Model Context Protocol, Decision Intelligence aims to help regulated industries scale AI while preserving sovereignty, security, and human-in-the-loop accountability.<\/p>\n Read on for more\u2192\u00a0https:\/\/siliconangle.com\/2026\/02\/24\/axonis-unveils-axonis-decision-intelligence-create-system-record-ai-driven-decisions\/<\/span><\/a><\/span><\/p>\n Databricks\u2019 Zerobus Ingest Hits GA For Brokerless Streaming<\/strong><\/p>\n Databricks has announced the general availability of Zerobus Ingest, a fully managed, serverless streaming service within Lakeflow Connect that pushes event data directly into governed Delta tables. By bypassing traditional message buses like Kafka, Zerobus Ingest simplifies streaming architectures from multi-component stacks down to a few managed services, slashing infrastructure overhead and latency to just a few seconds at scale. Databricks is targeting use cases like telemetry, IoT, clickstream analytics, and security event streams, positioning Zerobus as a way to collapse tool sprawl while sustaining high-throughput, low-latency ingest on major clouds.<\/p>\n Read on for more\u2192\u00a0https:\/\/www.databricks.com\/blog\/announcing-general-availability-zerobus-ingest-part-lakeflow-connect<\/span><\/a><\/span><\/p>\n DataCamp\u2019s 2026 Report Flags Growing Data & AI Literacy Gap<\/strong><\/p>\n DataCamp\u2019s 2026 State of Data & AI Literacy report finds that 88% of leaders now see basic data literacy as important for day\u2011to\u2011day work, and 72% say the same for AI literacy\u2014yet nearly 60% report skills gaps in both areas. Only 42% of organizations provide foundational data literacy training at scale and just 35% have a mature AI literacy program, even as most are willing to pay salary premiums for employees with strong capabilities. The report argues that the bottleneck is less about advanced engineering skills and more about everyday competencies like interpreting dashboards, questioning AI outputs, and applying tools responsibly, urging a shift from one\u2011off content to applied, role\u2011relevant upskilling.<\/p>\n Read on for more\u2192\u00a0https:\/\/www.datacamp.com\/blog\/the-state-of-data-and-ai-literacy-in-2026-definitions-statistics-and-the-ai-skills-gap<\/span><\/a><\/span><\/p>\n Domino\u2019s Winter Release Formalizes The Agentic Development Lifecycle<\/strong><\/p>\n Domino Data Lab\u2019s Winter Release 2026 introduces what it calls the Agentic Development Lifecycle (ADLC), positioning its platform as a fully governed, end-to-end system for building and operating enterprise agentic AI. The update adds universal tracing across tools and prompts, structured evaluation with side\u2011by\u2011side comparisons, and a shared system of record so teams can build, evaluate, deploy, and monitor agents with lineage and reproducibility. Domino also expands secure LLM hosting and serving on customer infrastructure, aiming to give regulated enterprises tighter control over data, costs, and performance for production agentic workloads.<\/p>\n Read on for more\u2192\u00a0https:\/\/domino.ai\/press-releases\/winter-release-2026<\/span><\/a><\/p>\n Power BI Input Slicer Goes GA For Text-First Filtering<\/strong><\/p>\n Microsoft has made the Power BI input slicer (formerly the text slicer) generally available, giving report consumers a fast way to filter by IDs, names, and codes by typing directly into the canvas. Users can enter multiple values, search with partial matches via operators like \u201cContains\u201d and \u201cStarts with,\u201d and even use the visual without a data field to capture free-form inputs such as comments or parameters for writeback workflows. For enterprise report builders, the feature removes the need for clunky dropdowns or custom visuals when working with long lists, narrow lookups, or translytical task flows.<\/p>\n Read on for more\u2192\u00a0https:\/\/powerbi.microsoft.com\/en-us\/blog\/input-slicer-filter-reports-and-collect-user-input-generally-available\/<\/span><\/a><\/span><\/p>\n <\/p>\n The Editors Lens: The Last Mile: Analytics Leadership & Enterprise AI Value by Tim King<\/strong><\/p>\n The future of analytics leadership development belongs to\u00a0programs that prepare leaders to own the last mile<\/a><\/strong>\u00a0with clarity, confidence, and authority. Anything less leaves organizations with powerful insight and no one truly responsible for its use.<\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n Insight Jam<\/em> is Getting Set to Host Donald Farmer for the Expert Briefing: The Last Mile to AI & Why Analytics Leadership Matters on March 19<\/strong><\/p>\n While AI can generate insights at unprecedented speed and scale, it cannot verify those insights against business reality, interpret them within organizational context, or take accountability when decisions go wrong. That responsibility still belongs to people. In this live Insight Jam<\/em> session, Donald Farmer introduces the concept he calls the last mile<\/i>: the critical gap between AI-generated output and trustworthy business action.<\/span><\/p>\n Register free on LinkedIn<\/a><\/p>\n Insight Jam<\/em> Launches Mesh Lab Episode 2 to Build a Framework for Work & Learning in the Age of AI: The Human Advantage<\/strong><\/p>\n Insight Jam<\/em> Mesh Lab is a year-long, monthly series of expert-led discussions<\/a><\/strong><\/span> dedicated to exploring and shaping the next generation of frameworks for work and learning in the age of AI. Rather than reacting to tools or trends, Mesh Lab is designed to initiate a sustained, cross-sector conversation about how human capability itself must be re-architected as AI becomes embedded across education, enterprise, and leadership.<\/p>\n Watch on Insight Jam<\/em><\/a><\/p>\n NEW Series Live: The Human Conversation with Doug Atkinson Featuring David Linthicum<\/b><\/p>\n David Linthicum, former Deloitte Cloud Chief Strategy Officer and 35-year AI veteran, joins Doug to discuss why 90% of AI projects fail, which industries are most vulnerable to disruption, and what happens when the corporate ladder loses its bottom rungs.<\/p>\n Watch on YouTube<\/a><\/p>\n Thought Leaders:\u00a0<\/em>Why Value is Misunderstood Across Organizations by Samir Sharma<\/strong><\/p>\n For the CEO, value is action. It\u2019s about executing strategy with confidence, allocating resources where they create the most leverage, improving revenue, reducing unnecessary spend, and anticipating risks before they materialize. If the board\u2019s expectations of value aren\u2019t clear, the CEO is forced to chase outputs instead of outcomes.<\/p>\n Read on Solutions Review<\/em><\/a><\/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>\nAnalytics and Data Science News for the Week of February 27<\/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