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Solutions Review Executive Editor Tim King curated this list of notable analytics and data science news for the week of March 20, 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 Alembic Turns Causal AI Into A Real-Time Decision Simulation Engine<\/strong><\/p>\n Alembic has launched Version 3.0 of its Causal AI platform, adding real-time causal recomputation and instant scenario modeling for enterprise planning. The platform models verified cause-and-effect relationships across media, pricing, macro factors, customer behavior, and operations so executives can simulate the revenue impact of budget and strategy changes before committing capital. Alembic is targeting organizations that want to move from retrospective analytics to forward-looking decision simulation, with GPU-accelerated infrastructure underpinning the system.<\/p>\n Read on for more\u2192\u00a0https:\/\/www.businesswire.com\/news\/home\/20260319400889\/en\/Alembic-Launches-Real-Time-Causal-AI-Platform-for-Enterprise<\/span><\/a><\/span><\/p>\n Alteryx Academy Recasts Training As A Personalized Learning Hub For AI And Analytics<\/strong><\/p>\n Alteryx has relaunched Alteryx Academy as a personalized learning platform that centralizes education, credentials, and resources for users at every skill level. The new experience includes guided pathways, hands-on premium courses, and continuing free foundational learning, with the company saying it wants to help analytics professionals keep pace with rapid AI and data innovation. Alteryx is framing education as a product feature, not a side program, to speed time to value and build a larger community of power users.\u200b<\/span><\/p>\n Read on for more\u2192\u00a0https:\/\/www.prnewswire.com\/news-releases\/introducing-the-new-alteryx-academy-personalized-learning-to-upskill-in-modern-era-of-ai-and-data-analytics-302715291.html<\/span><\/a><\/span><\/p>\n Basis Global And AnswerRocket Reframe Market Research Around \u201cIntegrated Intelligence\u201d<\/strong><\/p>\n Basis Global and AnswerRocket have formed a strategic partnership to redesign how market-research insights are created and delivered in the age of AI. Their first initiative uses a Researcher + AI approach for brand tracking, where AI scans the full dataset and tests hundreds of hypotheses while researchers remain responsible for framing the study and turning findings into strategy. The companies say the goal is not just faster surveys, but better judgment, deeper signal extraction, and a more connected view of brand performance across survey, social, and search data.<\/p>\n Read on for more\u2192\u00a0https:\/\/www.businesswire.com\/news\/home\/20260318474279\/en\/Basis-Global-and-AnswerRocket-Launch-Strategic-Partnership-to-Redefine-Market-Research-in-the-Age-of-AI<\/span><\/a><\/span><\/p>\n Databricks AI Runtime Brings Serverless NVIDIA GPUs Into The Lakehouse<\/strong><\/p>\n Databricks has introduced AI Runtime, which adds serverless NVIDIA GPU support to Databricks Training and Finetuning so teams can launch deep learning jobs without managing GPU clusters. The runtime supports on-demand A10 and H100 GPUs, bundled libraries like PyTorch and CUDA, distributed training frameworks, and tightly integrated governance through Unity Catalog, MLflow, and native observability. Databricks is pitching the feature as a way to make GPU-heavy training, fine-tuning, and inference more accessible while keeping workloads inside the enterprise data perimeter.\u200b<\/span><\/p>\n Read on for more\u2192\u00a0https:\/\/www.databricks.com\/blog\/introducing-ai-runtime-scalable-serverless-nvidia-gpus-databricks-training-and-finetuning<\/span><\/a><\/span><\/p>\n Dataiku Adds Kiji Inspector To Make Agent Explainability Open And Auditable<\/strong><\/p>\n Dataiku now supports NVIDIA Nemotron models through Kiji Inspector, an open-source framework designed to explain how enterprise AI agents reach their outputs. The framework is intended for regulated and high-stakes environments where organizations need visibility into agent reasoning, not just raw performance, and it ties into Dataiku\u2019s broader governed orchestration layer across data platforms, apps, and AI services. Dataiku and NVIDIA frame the move as a step toward production-grade agentic AI where transparency, auditability, and control are first-class requirements.<\/p>\n Read on for more\u2192\u00a0https:\/\/www.businesswire.com\/news\/home\/20260316832746\/en\/Dataiku-Now-Supports-NVIDIA-Nemotron-Delivering-One-of-the-First-Open-Source-Frameworks-for-Enterprise-AI-Agent-Explainability<\/span><\/a><\/span><\/p>\n DataRobot And Nebius Pair Agents With Dedicated NVIDIA AI Infrastructure<\/strong><\/p>\n DataRobot and Nebius are partnering to bring enterprise AI agents into production at scale on dedicated NVIDIA-GPU infrastructure. The collaboration combines the DataRobot Agent Workforce Platform with Nebius-managed Kubernetes and AI cloud services to deliver a validated AI factory for building, deploying, monitoring, and governing agents. The companies say the stack is intended to remove the uncertainty of general-purpose hyperscalers while giving enterprises predictable performance, lower latency, and production-grade governance.\u200b<\/span><\/p>\n Read on for more\u2192\u00a0https:\/\/www.datarobot.com\/newsroom\/press\/datarobot-and-nebius-partner-to-bring-enterprise-ai-agents-to-production-at-scale-on-nvidia-ai-infrastructure\/<\/span><\/a><\/span><\/p>\n Dell Expands Its AI Factory With A Unified Data Platform And Conversational Analytics<\/strong><\/p>\n Dell has broadened its AI Factory with NVIDIA by adding a more integrated AI Data Platform, new storage and orchestration layers, and a conversational assistant for querying governed data. The update automates discovery, preparation, governance, and structuring of structured, unstructured, and multimodal data so enterprises can create AI-ready datasets at scale. Dell is aiming to give customers a vertically integrated stack that links analytics and AI in one environment while reducing the friction of getting data ready for production workloads.\u200b<\/span><\/p>\n Read on for more\u2192\u00a0https:\/\/siliconangle.com\/2026\/03\/16\/dell-expands-ai-factory-new-data-platform-infrastructure-agentic-ai-features\/<\/span><\/a><\/span><\/p>\n IBM And NVIDIA Expand Their Enterprise AI Stack Across Data, Cloud, And Regulated Infrastructure<\/strong><\/p>\n IBM and NVIDIA announced an expanded collaboration at GTC 2026 to help enterprises operationalize AI at scale, with work spanning GPU-native analytics, intelligent document processing, on-prem deployment, and sovereign\/regulatory controls. The companies say the limiting factor is no longer model availability but the data, infrastructure, and governance layers needed to run AI reliably in production. IBM plans to bring NVIDIA Blackwell Ultra GPUs into IBM Cloud and integrate the collaboration into Red Hat AI Factory with NVIDIA so customers can run GPU-heavy AI workloads with enterprise compliance and residency controls.<\/p>\n Read on for more\u2192\u00a0https:\/\/newsroom.ibm.com\/2026-03-16-ibm-and-nvidia-announce-expanded-collaboration-at-gtc-2026-to-advance-ai-for-the-enterprise<\/span><\/a><\/span><\/p>\n Starburst Optimizes Federated AI Access For NVIDIA Vera With CPU-Level Performance Gains<\/strong><\/p>\n Starburst is tuning its federated lakehouse platform for NVIDIA Vera CPU so enterprises can run real-time AI and analytics on governed data without centralizing it first. The optimization is aimed at lowering latency and raising CPU efficiency for Trino-based query processing across lakes, warehouses, and operational systems, which is especially valuable for RAG and agentic workloads that need fresh data where it already lives. Starburst also says the Vera work lays the groundwork for broader CPU-GPU acceleration in federated analytics as NVIDIA\u2019s inference stack evolves.<\/p>\n Read on for more\u2192\u00a0https:\/\/www.hpcwire.com\/bigdatawire\/this-just-in\/starburst-advances-federated-data-access-for-ai-with-nvidia-vera-cpu-optimization\/<\/span><\/a><\/p>\n ThoughtSpot Launches Spotter For Industries To Make AI \u201cLiterate\u201d In Sector-Specific Context<\/strong><\/p>\n ThoughtSpot\u2019s new Spotter for Industries packages domain-specific agents for regulated and operationally complex sectors, using deep industry context to turn fragmented data into trusted, actionable insight. The release builds on Spotter Semantics and adds specialized connectors plus industry logic so answers remain deterministic, traceable, and aligned to sector KPIs and terminology. ThoughtSpot is positioning the product as a response to generic AI\u2019s context gap, arguing that the future of analytics agents will be industry-aware rather than one-size-fits-all.<\/p>\n Read on for more\u2192\u00a0https:\/\/www.thoughtspot.com\/press-releases\/thoughtspot-launches-spotter-for-industries-purpose-built-agents-transform-complex-industry-content-into-trusted-actionable-insights<\/span><\/a><\/span><\/p>\n What to Expect at Mini Jam, Q1 2026: The Skills Reckoning on March 31<\/b><\/p>\n 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\u00a0register for free at\u00a0Insight Jam<\/em><\/a><\/strong>\u00a0to watch all the sessions live or on demand.<\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n How One Solutions Review<\/em> Article Reshaped AI Answers Across an Entire Software Category<\/b><\/p>\n 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,\u00a0Solutions Review<\/em>\u00a0recorded a 324 percent increase in media domain citations across AI answer engines in less than 30 days.<\/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 31<\/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 Thought Leaders: Cloud AI Innovators Teach Us to Modernize Our Teams, Architecture & Governance by Kevin Petrie<\/strong><\/p>\n This blog, the second in a two-part series, builds on our earlier\u00a0profile<\/a>\u00a0of organizations that run full AI projects on a single cloud platform. We call them Cloud AI Innovators, and they have a knack for driving business results with production AI. Cloud AI Innovators teach us three guiding principles: (1) foster cross-functional teamwork, (2) streamline architecture, and (3) strengthen governance. Let\u2019s explore each principle in turn.<\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n The Editors Lens: The AI-Native Data Management Stack & How Data Infrastructure is Evolving in Real-Time<\/strong><\/p>\n With the rise of agentic AI systems that rely on continuous access to high-quality, well-structured, and context-rich data, the role of data management is expanding rapidly. Instead of simply storing and delivering data, modern platforms are being re-architected to actively support AI systems that must understand, reason over, and act on that data in real time. In this new paradigm, data management is no longer a back-end function. It is becoming the foundation of enterprise intelligence.<\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n –<\/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 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 March 20<\/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