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Analytics and data science news for the week of March 27; Updates from Alteryx, Databricks, Domo & more. Solutions Review Executive Editor Tim King curated this list of notable analytics and data science news for the week of March 27, 2026. 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. 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. Analytics and data science news for the week of March 27, 2026. Alteryx Adds Generative AI Features To Make Analytics More Accessible Alteryx has announced new generative AI capabilities designed to simplify analytics for a broader set of users. The company is aiming to reduce friction in preparing, analyzing, and asking questions of data so more non-technical users can get value from the platform. The broader message is analytics democratization: making advanced workflows easier to reach without requiring users to become data engineers. Databricks Launches Lakewatch As An Open, Agentic SIEM Built On The Lakehouse Databricks has introduced Lakewatch, a new open agentic SIEM that unifies security, IT, and business data in a governed environment so AI agents can detect, triage, and respond to threats at machine speed. The product is built around open formats and an open ecosystem, and it extends Databricks' lakehouse to multimodal sources like logs, video, and audio for use cases such as insider threat and social engineering detection. Databricks is positioning Lakewatch as a replacement for stagnating SIEM tools, not just an add-on, with the agent layer handling investigations and response workflows. Domo Updates BI With Spreadsheet-Native Exploration And A New Semantic Layer Domo has modernized its BI experience with spreadsheet-native exploration and a new semantic layer that keeps metrics, business logic, and definitions consistent across users. The update is aimed at making it easier for business users to analyze data in a familiar interface while reducing metric drift and confusion between ad hoc analysis and governed reporting. Domo is positioning the change as a core part of its push to make analytics and AI more usable for non-technical teams without sacrificing consistency. Reveal Embeds Conversational Analytics Directly Inside Enterprise Apps Reveal has launched conversational AI analytics that software vendors can embed directly into enterprise applications. The company says its approach keeps AI inside the product experience, with enterprise controls for governance, token limits, and predictable cost management. Reveal is positioning the offering as a way to make dashboards more interactive without forcing customers into a separate AI assistant or external LLM workflow. Salesforce Launches AI Foundry To Turn Research Into Enterprise-Ready Models Salesforce AI Research has announced AI Foundry, an initiative aimed at turning AI breakthroughs into enterprise deployments. The effort focuses on models and infrastructure that can be adapted to business use cases while maintaining reliability, cost control, and workflow integration. Salesforce is positioning Foundry as a bridge between frontier research and practical enterprise AI adoption. Spade Raises $40M To Turn Messy Transaction Strings Into Finance-Grade AI Data Spade has raised $40 million in Series B funding led by Oak HC/FT, with backing from a16z, Flourish, Gradient, NAventures, National Bank of Canada's corporate VC arm, and Y Combinator. The company's platform converts raw payment and transaction strings into structured, verified records so banks and fintechs can use them for AI, analytics, and workflow automation. Spade plans to use the capital to deepen platform capabilities and expand to meet demand from financial institutions that need better foundational transaction data for production AI. 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. What to Expect at Mini Jam, Q1 2026: The Skills Reckoning on March 31 All-in, Mini Jam Q1, 2026 provides an unparalleled opportunity to gain insights, engage with experts, and stay at the forefront of the conversation on the human impact of AI. Be sure to register for free at Insight Jam to watch all the sessions live or on demand. Insight Jam is Getting Set to Host Donald Farmer for the Expert Briefing: The Last Mile to AI & Why Analytics Leadership Matters on March 31 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 session, Donald Farmer introduces the concept he calls the last mile: the critical gap between AI-generated output and trustworthy business action. Solutions Review is Getting Set to Host Alteryx for the Industry Trends event: AI in Analytics: Who's Really in Control? on April 29 In this fireside conversation, we'll unpack with Alteryx experts Brett Hamel and Troy Wilson what responsible AI looks like inside real analytics workflows. We'll discuss where AI performs well today, where it still makes mistakes, and how teams validate outputs without slowing themselves down. We'll explore what "human in the loop" actually means in practice, what tends to break when AI scales too quickly, and how to design workflows that are transparent, defensible, and accountable. The Editors Lens: AI ROI: How Should Enterprises Benchmark AI Success? by Tim King AI success ultimately depends on trust. When decision-makers cannot rely on the outputs generated by AI systems, adoption slows, and business impact becomes elusive. As a result, organizations are beginning to rethink how AI initiatives should be designed and measured, shifting toward strategies that prioritize trusted data, consistent definitions, and architectures capable of delivering reliable, governed information at scale. The Editors Lens: Is Your Brand Cited in AI Answers? If Not, You're Not on the Vendor Shortlist by Tim King Enterprise marketing teams are still largely operating under a familiar assumption: if your content ranks, your brand will be discovered. For years, that assumption held. SEO performance was a reliable proxy for visibility, and visibility translated into pipeline. That assumption is now breaking down in a way that is not immediately obvious in your dashboards. Thought Leaders: Five Winning Traits of Agentic Analytics Leaders by Kevin Petrie We use BARC primary research to profile this 27%, whom we call agentic analytics leaders, and identify five winning traits: agentic analytics leaders are mature, governed, measured, adoption-focused, and broad-based in their use of AI. We define each trait below and recommend next steps for the other 73% of organizations to start acquiring them. 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. 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 analytics and data science news roundups, send your announcements to the editor: [email protected]. Tim King. Executive Editor. Tim is Solutions Review's Executive Editor and leads coverage on data management and analytics. A 2017 and 2018 Most Influential Business Journalist and 2021 "Who's Who" in Data Management, Tim is a recognized industry thought leader and changemaker. Story? Reach him via email at [email protected].

Alteryx reveals enhanced academy for data analytics professionals. Alteryx introduces an updated Academy platform designed to support learning at different career stages, with personalised pathways aligned to evolving AI and analytics demands. * Tuesday, 17th March 2026 Posted 2 hours ago in AI Data Analytics Digital Business IT Management + Service by Sophie Milburn Alteryx, an AI-focused data analytics company, has announced the launch of an updated Alteryx Academy. The platform is designed to support professionals at different stages of their careers. The Alteryx Academy provides a central hub for learning, career development, and discovery, bringing together education, certifications, and resources in a single platform. As AI continues to influence the analytics field, many analysts expect it to play a role in career development. In response, Alteryx has updated its Academy as a centralised, personalised learning platform, aimed at helping professionals develop skills relevant to AI and data analytics. With a global community of more than 750,000 members, Alteryx continues to invest in education and user enablement to support professionals adapting to changes in AI and data analytics. The updated Academy is structured around continuous learning and is designed for both early-stage users and those seeking to expand their expertise. The updated Academy includes several features: * Connected Hub: Centralised access to Alteryx learning content, certifications, and resources * Updated Design: An interface with revised navigation and layout * Personalised Learning Pathways: Learning experiences aligned to individual goals, interests, and skill levels * New Credentials Program: A system for validating proficiency in Alteryx and data analytics The Academy is intended to support users in developing analytics skills and applying them within their roles and organisations.