Analytics and Data Science News for the Week of March 13; Updates from Databricks, Alteryx, ThoughtSpot & More
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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 13, 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 13, 2026
Alteryx Crosses $1B ARR As Customers Lean On Alteryx One As An AI Logic Layer
Alteryx has surpassed $1 billion in ARR and now runs more than 380 million automated workflows annually, underscoring how customers are using Alteryx One as a governed logic layer for AI-ready data and analytics. Nearly half of leaders in its new research cite high-quality, accessible, well-governed data as the top requirement for AI success, and Alteryx positions its visual, repeatable workflows as the foundation that captures business logic, preserves lineage, and produces AI-ready outputs at enterprise scale. The company is also simplifying editions and expanding cloud partnerships, including a deeper Google Cloud integration, to make its AI and automation capabilities easier to adopt across modern data platforms.
Read on for more→ https://www.prnewswire.com/news-releases/alteryx-accelerates-its-next-phase-of-growth-with-ai-ready-data-and-automation-at-enterprise-scale-302707688.html
Databricks’ Genie Code Turns Agentic Coding Loose On Data Engineering And ML Ops
Databricks has unveiled Genie Code, an agentic AI assistant for data teams that can design and build pipelines, debug failures, create dashboards, and maintain production systems across the Databricks platform. Unlike generic code agents, Genie Code is wired into Unity Catalog, MLflow 3.0, and Model Serving so it understands lineage, usage, and business semantics and can treat observability as a first-class task—spotting issues and proposing fixes, not just writing code. Databricks also announced its acquisition of Quotient AI to embed continuous evaluation and reinforcement learning directly into Genie and Genie Code for safer, more reliable agent behavior.
Read on for more→ https://www.databricks.com/blog/introducing-genie-code
Futurum: Dataiku Rebrands As “The Platform For AI Success” To Govern A Multi-Cloud Agent Wilderness
Futurum Group’s Brad Shimmin argues that Dataiku has “shed its skin” as a classic data science workbench and repositioned as “The Platform for AI Success,” focused on orchestrating and governing AI agents across AWS, Snowflake, Databricks, and beyond. New capabilities include Dataiku Agent Management, a cross-platform control plane that monitors agent behavior and policy alignment; Dataiku Cobuild, which turns natural-language descriptions into orchestrated workflows; and Dataiku Reasoning Systems, domain templates for complex, multi-step operations. The analysis frames Dataiku’s pivot as a move above the compute layer, competing for the “governance dollar” by becoming an agnostic control tower for distributed agents rather than yet another model host.
Read on for more→ https://futurumgroup.com/insights/dataiku-pivots-to-ai-success-can-one-control-plane-master-a-multi-cloud-agent-wilderness/
DataStrike Expands Fabric Services To De-Risk Fast Moves Into Microsoft’s Unified Analytics Stack
DataStrike is expanding its Microsoft Fabric services with three engagement models—Fabric Readiness & POC, Fabric Migration Services, and Fabric Managed Services—to help organizations adopt Fabric for analytics and AI without creating a new tangle of technical debt. The firm offers two-week POCs with real data and use cases, architecture and governance design, capacity planning, and performance validation, followed by structured migrations that cover OneLake design, ingestion, Data Factory pipelines, Synapse modeling, Power BI, and AI/ML enablement. Ongoing managed services keep Fabric environments tuned for cost, performance, and evolving business needs as organizations shift more analytics and agentic workloads onto the platform.
Read on for more→ https://www.datastrike.com/blogs/datastrike-expands-microsoft-fabric-services-to-help-organizations-move-faster-with-analytics-and-ai
ThoughtSpot’s Spotter Semantics Aims To Be The Agentic Semantic Layer For Analytics
ThoughtSpot has launched Spotter Semantics, an AI-native semantic layer built to translate natural language queries from humans and agents into deterministic, context-aware SQL on governed data. The platform uses knowledge-graph-backed semantics, AI-powered indexing, and patented search tokens to encode business logic, security, metrics, cohorts, and synonyms into a machine-readable format that reduces hallucinations and misinterpretation. Analysts can define custom metrics and formulas via a visual UI while CI/TML pipelines manage deployment, giving organizations a shared, trusted context layer for Spotter agents and other AI consumers.
Read on for more→ https://www.thoughtspot.com/press-releases/thoughtspot-introduces-spotter-semantics-to-bring-trust-and-context-to-enterprise-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.
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.
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Thought Leaders: The Missing Piece in Olympic Analysis by Dr. Joe Perez
The most resonant data stories expand the frame without blurring the subject. Diplomas help us do exactly that. They encourage restraint in color and type, transparency in timelines, completeness in counts, respect for institutional context, and generosity toward the broader field of excellence. They remind us that sometimes the smallest artifact carries the biggest structural insight.
Thought Leaders: The Five Stages of Data and AI Strategy Grief by Samir Sharma
I’ve been working with a number of clients from one end of the spectrum to the other. Greenfield to Brownfield to spendhugeamountsofmoneyfield! What I have seen in the latter two is that many of these organizations do not struggle with Data & AI because they lack ambition, it’s mainly down to the fact that they confuse investment with impact.
The Editors Lens: The AI-Native Analytics Stack & How AI is Evolving BI in Real-Time
The best data analytics and BI platforms were traditionally designed around a simple premise: data is collected, transformed, visualized, and interpreted by humans who ultimately make the decisions. Dashboards, reports, and ad-hoc queries formed the center of the analytics experience. Analysts explored data, business leaders consumed the output, and insights moved slowly through organizations as human interpretation translated information into action. That model is now beginning to break.
Contributor Series: Why Workforce Planning is Now Central to Modern FP&A by BARC's Kelley Lynn Kassa
My previous role as a consultant gave me the opportunity to write case studies in the corporate performance management (CPM) market. The overwhelming majority of them show that most organizations have implemented unique and customized models for workforce and/or headcount planning.
Contributor Series: On Combining the Use of AI with Critical Thinking by Professor Dave Cameron
It is easy to tell tools such as Claude, or even ChatGPT, to create a Python program that predicts optimal spend using the objectives above, and explain the content of each of the inputs used to predict. For instance, past spend is certainly a predictor of future spend.
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Insight Jam Launches Mesh Lab Episode 2 to Build a Framework for Work & Learning in the Age of AI: The Human Advantage
Insight Jam Mesh Lab is a year-long, monthly series of expert-led discussions 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.
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.
Solutions Review Editors Launch New 'Human-AI Ledger' Newsletter to Chronicle the Human Impact of AI
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.
For consideration in future analytics and data science news roundups, send your announcements to the editor: tking@solutionsreview.com.
