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Solutions Review Executive Editor Tim King curated this list of notable analytics and data science news for the week of September 4, 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 AWS Acquires DuckLabs While Keeping DuckDB Independent And Open Source<\/strong><\/p>\n Amazon has signed a definitive agreement to acquire DuckLabs, the Amsterdam-based company founded by DuckDB creators Hannes M\u00fchleisen and Mark Raasveldt. The DuckLabs team will join AWS after closing and continue leading DuckDB\u2019s technical direction, while the DuckDB project itself remains outside the transaction, governed by the independent DuckDB Foundation and available under its existing MIT license; AWS says the move is intended to make analytics faster, simpler, and more cost-effective for customers.<\/p>\n Read on for more\u2192 Amazon Acquires DuckLabs, Adding the Team Behind DuckDB Amid Broader Shakeup in Cloud Data<\/span><\/a><\/p>\n Databricks Publishes Production Playbook For Operating And Governing AI Agents<\/strong><\/p>\n Databricks has released The Big Book of AgentOps<\/em>, a practical guide to moving AI agents from pilots into repeatable, production-ready systems. The book covers agent architectures, deployment patterns, a seven-phase delivery lifecycle, trace-based evaluation, observability, least-privilege governance, incident response, cost attribution, and stakeholder alignment\u2014framing AgentOps as the operational discipline that extends MLOps and LLMOps to systems that use tools, retrieve enterprise data, and act autonomously.<\/p>\n Read on for more\u2192 Announcing the Databricks Big Book of AgentOps<\/span><\/a><\/span><\/p>\n Deloitte Acquires Wavicle To Deepen Databricks-Centered Data And AI Engineering<\/strong><\/p>\n Deloitte has acquired substantially all assets of Wavicle Data Solutions, bringing a data and AI engineering organization with expertise managing Databricks across the major hyperscalers into its consulting practice. The acquisition adds industry-specific engineering capabilities across consumer goods, manufacturing, financial services, life sciences, and healthcare, expanding Deloitte\u2019s capacity to build AI-ready data foundations and custom Databricks solutions for enterprise clients.<\/p>\n Read on for more\u2192 Deloitte Acquires the Business of Wavicle, Accelerating Data and AI Engineering Capabilities<\/span><\/a><\/span><\/p>\n Gartner Finds Only 22% Of Organizations Have Scaled AI Across Business Units<\/strong><\/p>\n Gartner reports that just 22% of organizations have scaled AI initiatives across multiple business units, indicating that most enterprises remain caught between experimentation and enterprise-wide operational deployment. The gap highlights that technical access to models is not enough: organizations also need reliable data, business-process redesign, governance, skills, leadership alignment, and measurable value realization to turn pilots into repeatable AI capabilities.<\/p>\n Read on for more\u2192 Gartner Finds Just 22% of Organizations Have Scaled AI Across Business Units<\/span><\/a><\/p>\n IBM And Confluent Put Time-Series AI Directly Into Streaming Data Pipelines<\/strong><\/p>\n IBM Granite Time Series models are now available in early access on Confluent Cloud, enabling teams to call forecasting and anomaly-detection models through Apache Flink SQL without provisioning a separate machine-learning environment. The four-model portfolio supports use cases including demand forecasting, payment-fraud detection, equipment monitoring, and application observability, with inference results written back to Kafka topics and governed through the platform\u2019s existing schemas, lineage, permissions, and replayable data streams.<\/p>\n Read on for more\u2192 IBM Granite Time Series Models Bring Real-Time Forecasting and Anomaly Detection to Confluent Cloud<\/span><\/a><\/span><\/p>\n Qlik Expands MCP Distribution To Give AI Agents Governed Business Context<\/strong><\/p>\n Qlik has expanded availability of its Model Context Protocol servers through AWS Marketplace and Databricks Marketplace, making governed analytics context and business definitions easier to connect with enterprise AI platforms. The offering is designed to let agents retrieve trusted information and act on it through Qlik\u2019s governed data and analytics layer, helping organizations reduce the risk that AI systems operate on unverified metrics, incomplete context, or unauthorized data.<\/p>\n Read on for more\u2192 Qlik Expands MCP Availability Across AWS and Databricks Marketplace, Bringing Trusted Business Context to Agents<\/span><\/a><\/p>\n SAS And IDC Find Trusted AI Practices Separate High-ROI Enterprises From The Rest<\/strong><\/p>\n SAS\u2019 second annual Data and AI Impact Report, with research insights from IDC, found organizations investing in trustworthy AI practices are 15 times more likely to report strong AI ROI\u201462% versus 4% among less mature peers. The global survey of 2,699 decision-makers also found that 97.2% of users override AI recommendations in some cases, primarily when systems cannot explain their decisions, and only 17.5% of enterprises have data infrastructure mature enough for agentic AI; organizations with optimized data foundations were four times more likely to expect strong AI returns.<\/p>\n Read on for more\u2192 Organizations With Trustworthy AI Practices Are 15 Times More Likely To See Strong ROI, Per Study Findings<\/span><\/a><\/span><\/p>\n Trust3 AI Extends Purpose-Based Security Controls To Databricks Agent Gateway<\/strong><\/p>\n Trust3 AI has integrated its agent-security control plane with Databricks Unity AI Gateway, adding purpose-based access policies that govern both the actions agents can take and the data they can access. The platform can discover agents, assess posture through a Trust Score, monitor token budgets and scope drift, and log every policy decision, while applying a common policy model across Databricks, Azure AI Gateway, Snowflake Cortex AI Gateway, and AWS Bedrock AgentCore Gateway.<\/p>\n Read on for more\u2192 Apache Ranger Creators Bring Agent Security to the Databricks Unity AI Gateway<\/span><\/a><\/span><\/p>\n Contributor Series: The Billion-Dollar ERP Question: If ERP is Over, What Should CEOs and Boards Do Now? by Anne Bruce<\/strong><\/p>\n McKinsey\u2019s May 2026 analysis,\u00a0The end of ERP as we know it? Five ways AI is disrupting ERP<\/u><\/a>, argues the question is no longer whether artificial intelligence (AI) will reshape enterprise resource planning (ERP), but how fast and how radically. For a chief executive officer (CEO) or board that just approved a nine-figure modernization program, that reads less like market commentary than like a margin call.<\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n –<\/p>\n Mini Jam Q2, 2026: <\/i>AI in Practice: How L&D Are Actually<\/em> Changing Broadcasts June 25-26<\/b><\/p>\n AI\u00a0is quickly moving from experimentation to operational reality across education, workforce development, and practitioner\u00a0learning environments. What began as a conversation around tools has evolved into a much\u00a0larger\u00a0transformation\u00a0involving\u00a0skills<\/a><\/strong>, implementation strategies, institutional design, and\u00a0the future structure of learning itself<\/a><\/strong>. All-in, Mini Jam Q2, 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 on education.<\/span><\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n Solutions Review<\/em> Announces New EdTech Site on the Future of Work and Learning<\/strong><\/p>\n The site will provide\u00a0ongoing editorial<\/a><\/strong>,\u00a0expert thought leadership<\/a><\/strong>, research-driven analysis on\u00a0the state of EdTech<\/a><\/strong>, and awards programming through\u00a0Mesh Awards<\/a><\/strong>\u00a0to cover fully this transformation.\u00a0Solutions Review<\/em>\u00a0EdTech<\/a><\/strong>\u00a0will also house\u00a0information gain<\/a><\/strong>\u00a0from\u00a0quarterly virtual events<\/a><\/strong>,\u00a0expert panels<\/a><\/strong>,\u00a0podcasts<\/a><\/strong>, and more from its sister brand\u00a0Insight Jam<\/em>\u00a0(1M+ on YouTube<\/a><\/strong>), the\u00a0home for the human conversation<\/a><\/strong>.<\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n We Didn’t Build Solutions Review for AI, We Built it for Buyers by Tim King<\/strong><\/p>\n A nuclear bomb has been exploded in not only digital marketing, but enterprise tech buying. Buyers increasingly discover information through AI search and their favorite GenAI bot, social media platforms like LinkedIn, and synthesized answers rather than lists of blue links. Visibility still matters, but the question is evolving from \u201cCan you rank?\u201d to \u201cCan you be\u00a0anchored as trusted a source<\/a><\/strong>?\u201d<\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n Solutions Review<\/em> Announces New EdTech Site on the Future of Work and Learning<\/strong><\/p>\n The site will provide\u00a0ongoing editorial<\/a><\/strong>,\u00a0expert thought leadership<\/a><\/strong>, research-driven analysis on\u00a0the state of EdTech<\/a><\/strong>, and awards programming through\u00a0Mesh Awards<\/a><\/strong>\u00a0to cover fully this transformation.\u00a0Solutions Review<\/em>\u00a0EdTech<\/a><\/strong>\u00a0will also house\u00a0information gain<\/a><\/strong>\u00a0from\u00a0quarterly virtual events<\/a><\/strong>,\u00a0expert panels<\/a><\/strong>,\u00a0podcasts<\/a><\/strong>, and more from its sister brand\u00a0Insight Jam<\/em>\u00a0(1M+ on YouTube<\/a><\/strong>), the\u00a0home for the human conversation<\/a><\/strong>.<\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n Mini Jam Q2, 2026: <\/i>AI in Practice: How L&D Are Actually<\/em> Changing Broadcasts June 25-26<\/b><\/p>\n AI\u00a0is quickly moving from experimentation to operational reality across education, workforce development, and practitioner\u00a0learning environments. What began as a conversation around tools has evolved into a much\u00a0larger\u00a0transformation\u00a0involving\u00a0skills<\/a><\/strong>, implementation strategies, institutional design, and\u00a0the future structure of learning itself<\/a><\/strong>. All-in, Mini Jam Q2, 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 on education.<\/span><\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n Insight Jam’s <\/em>Mesh Lab Episode 5 Now Available: Human-Centered Environments<\/strong><\/p>\n The conversation shifts beyond standard pedagogy to address the existential crisis facing students and workers as AI disrupts traditional ideas of productivity and purpose. Panelists emphasize the urgent need to stop measuring final outputs and instead focus on the creative, collaborative process of learning. Ultimately, the group argues that to foster uniquely human skills like adaptability in students, educators must first be granted the autonomy to exercise those exact same skills.<\/p>\n Watch on Insight Jam<\/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>\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 September 4<\/strong>, 2026<\/strong><\/h2>\n
\nExpert Insights<\/strong><\/h3>\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