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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 13, 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 Research: Trust and Data Quality Are the Biggest Barriers to Scaling AI Pilots<\/strong><\/p>\n New Alteryx research finds that fewer than one in four AI pilots make it into production, with trust and data quality emerging as the main blockers despite rising AI budgets. Only 28% of leaders trust AI to support decision-making and 27% for forecasting, while 49% cite high-quality, accessible, governed data as the top requirement for agentic AI\u2014prompting many to focus on governed data, clear metrics, and workflows that blend deterministic rules with generative AI.\u200b<\/span><\/p>\n Read on for more \u2192\u00a0https:\/\/www.hpcwire.com\/bigdatawire\/this-just-in\/new-alteryx-research-highlights-trust-and-data-as-keys-to-scaling-ai-pilots\/<\/span><\/a><\/p>\n Databricks Partner Program + Well-Architected Framework for AI-Ready ISVs and Data Providers<\/strong><\/p>\n Databricks has introduced a unified Partner Tiering Program and a Partner Well-Architected Framework (PWAF) for ISV and data provider partners building on its Data Intelligence Platform. The program aligns incentives across three architectures\u2014Connected Products, Native Apps, and Built-Ons (including MCP servers and agentic apps)\u2014and uses PWAF to give concrete AI-ready design guidance so partners can deliver performant, secure, and governable integrations that drive Databricks consumption and joint customer success.<\/p>\n Read on for more \u2192\u00a0https:\/\/www.databricks.com\/blog\/introducing-new-databricks-partner-program-and-well-architected-framework-isvs-and-data<\/span><\/a><\/span><\/p>\n App Builder AI: From sketch or speech to working enterprise app layouts<\/strong><\/p>\n Infragistics\u2019 App Builder AI now lets users generate functional app views from uploaded sketches or images and drive app creation by speaking prompts, turning ideas into React\/Angular layouts in seconds. The low-code WYSIWYG platform automates boilerplate code, scaffolding, data binding, and even pivot-grid configuration while preserving full code export and ownership, aiming to combine AI speed with the flexibility and reliability needed for enterprise-grade, customizable applications.\u200b<\/span><\/p>\n Read on for more \u2192\u00a0https:\/\/www.globenewswire.com\/news-release\/2026\/02\/12\/3237234\/0\/en\/App-Builder-AI-Brings-Speed-Flexibility-and-Reliability-to-Enterprise-App-Development.html<\/span><\/a><\/span><\/p>\n Planview Connected Work Graph: AI agents that see dependencies before they break delivery<\/strong><\/p>\n Planview has launched Connected Work Graph, an AI-powered dependency intelligence layer that maps how objectives, initiatives, teams, and resources connect across an enterprise and uses intelligent agents to analyze millions of work relationships in real time. The system surfaces hidden cross-team dependencies, critical path risks, and bottlenecks before they impact delivery and recommends actions\u2014turning static status reporting into a continuously running advisory layer for strategic decisions in product, project, and portfolio work.<\/p>\n Read on for more \u2192\u00a0https:\/\/www.businesswire.com\/news\/home\/20260210514046\/en\/Planview-Reinvents-How-Enterprises-Make-Critical-Decisions-with-Connected-Work-Graph-AI-Powered-Dependency-Intelligence<\/span><\/a><\/p>\n Power BI: Legacy Excel\/CSV Import Experience Retires in 2026<\/strong><\/p>\n Microsoft is deprecating the old Excel and CSV import experience in the Power BI service (the legacy option on the Create page), with creation blocked after May 31, 2026, and refresh for existing models disabled after July 31, 2026. Excel and CSV remain fully supported as data sources via the current connectors and Power BI Desktop, but any reports built on the legacy import path must be recreated using modern connectors if you need ongoing refresh rather than static, stale data.<\/p>\n Read on for more \u2192\u00a0https:\/\/powerbi.microsoft.com\/en-us\/blog\/deprecation-of-old-excel-and-csv-import-experience-in-power-bi-service\/<\/span><\/a><\/span><\/p>\n Qlik Agentic Analytics GA + MCP Server for Third-Party Assistants<\/strong><\/p>\n Qlik has made its agentic analytics experience generally available in Qlik Cloud via Qlik Answers, a unified conversational interface that lets users and AI agents query governed data products. It also launched a Qlik MCP server that exposes Qlik\u2019s engine, tools, and data products to third-party assistants like Anthropic Claude, so external agents can securely generate insights and actions using trusted, curated Qlik data.\u200b<\/span><\/p>\n Read on for more \u2192\u00a0https:\/\/www.qlik.com\/us\/news\/company\/press-room\/press-releases\/qlik-brings-agentic-analytics-to-general-availability-and-launches-mcp-server-for-third-party-assistants<\/span><\/a><\/span><\/p>\n ServiceNow + Pyramid Analytics: Expanding Native, Data-Driven AI on Now Platform<\/strong><\/p>\n ServiceNow is acquiring Pyramid Analytics to bring its decision intelligence platform natively into the Now Platform, aiming to unify BI, planning, and AI-driven insights directly inside ServiceNow workflows. The move is positioned to help customers turn operational data already in ServiceNow into governed metrics, simulations, and prescriptive actions, tightening the loop between analytics and automation across IT, customer, employee, and creator workflows.<\/p>\n Read on for more \u2192\u00a0https:\/\/www.servicenow.com\/blogs\/2026\/pyramid-analytics-expanding-data-driven-ai<\/span><\/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 The Digital Analyst\u00a0<\/em>with John Santaferraro: The 7 Foundations of AI Success with Shawn Rogers<\/strong><\/p>\n John welcomes back Sean Rogers, CEO of BARC USA, to break down findings from BARC’s second global AI adoption research study (conducted with the legendary Merv Adrian). Unlike the flood of 2026 predictions, this research offers a fact-based look at what actually happened when enterprises deployed AI over the past 18 months, and what separates the 20% of leaders from everyone else.<\/p>\n Watch on YouTube<\/a><\/p>\n Thought Leaders:\u00a0<\/em>Who is Sitting in My Seat, Said the CDO\/CAIO? by Samir Sharma<\/strong><\/p>\n It\u2019s time we stop wasting our most strategically valuable leaders on tactical work. The CDO and CAIO roles were never meant to be permanent platform buyers, program managers, or glorified data plumbers. Yet too many organizations have anchored them there heads down in tooling decisions while the business asks why AI pilots never translate into value.<\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n Solutions Review<\/i> is Getting Set to Host Nutanix and Northeastern University for the Exclusive Session ‘Cloud-Native for the AI-Powered, Innovation-Ready Enterprise Masterclass’ on February 19<\/strong><\/p>\n Join us for the Nutanix Cloud Native Masterclass, an exclusive event for C-level executives, where attendees will receive a Certificate of Completion from Northeastern University, recognizing their expertise in cloud native strategies. In this Masterclass we\u2019ll explore how cloud native architecture is reshaping enterprise IT. Unlike traditional monolithic applications \u2014 which are slow to evolve, difficult to scale, and operationally complex \u2014 cloud native applications are composed of independent, loosely coupled components. Built on microservices, containers, Kubernetes, and API-driven design, they are optimized for dynamic, distributed environments.<\/p>\n Register on LinkedIn<\/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 The Editors Lens: Things to Look for in an Analytics Leadership Course in the AI Age by Tim King<\/strong><\/p>\n As renowned AI and analytics\u00a0expert\u00a0Donald Farmer<\/span><\/span><\/a>\u00a0has observed,\u00a0\u201cAI was supposed to make analyst work easier. Instead, it\u2019s shown us how much of that work wasn\u2019t really technical at all. We can automate pattern matching, but we can\u2019t automate understanding if those patterns matter.\u201d<\/em>\u00a0That distinction sits at the heart of what modern analytics leadership education must address.<\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n Insight Jam<\/em> Launches New “Mesh Lab” to Build a Framework for Work & Learning in the Age of AI<\/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 YouTube<\/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 13<\/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