Save over 30% on AI Strategy Bootcamp through May 8!
TDWI equips data scientists and ML engineers with the strategies, skills, and frameworks to design, deploy, and manage AI models and systems that are explainable, production-ready, and high-performing.
The AI-Powered Enterprise Needs More Data Heroes
Data & AI Leaders
Data Analysts / BI Pros
Data Governance Pros & Stewards
Data Architects & Engineers
Data Scientists / ML Engineers
Citizen Data & AI Pros
Pioneers of applied AI, these professionals turn advanced algorithms into enterprise-ready solutions. They design models, manage MLOps pipelines, and ensure that AI delivers measurable and trusted results.
Discover emerging trends, techniques, and resources to scale machine learning and AI responsibly.
Build the cultural, technical, and operational foundations to thrive with AI and data science. This toolkit combines vendor-neutral research, practical checklists, and a hands-on course to accelerate readiness and skills development.
Included in toolkit:
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Free virtual events on the latest in AI, MLOps, and applied machine learning.
The panel will assess which capabilities are maturing, where current offerings fall short, and which decisions data leaders should make now. September 14, 2026 Find Out More
In this webinar, TDWI research fellow Donald Farmer is joined by Tudor Borlea of Collibra and by Bastian Finkel and Stuart Giles of SAP. The panel will draw on hands-on experience, current research, and enterprise examples to show how governance turns a deadline-driven migration into a lasting foundation of governed data products for AI. September 23, 2026 Find Out More
Data observability addresses this challenge by making the condition and behavior of data pipelines visible and actionable. September 24, 2026 Find Out More
Explore Webinars
AI investment is surging—but production success lags behind.
Generative AI ranked as the top investment area in the 2025 TDWI survey.
Senior executives in 41% of organizations are mandating generative AI adoption.
Less than half of organizations are satisfied with how they move ML models into production.
Gain strategic frameworks, hear from pioneers, network with peers, and discover real-world use cases.
Anaheim | Sept. 20 - 25
The Data & AI Conference
Anaheim| Sept. 21–23
TDWI Data & AI Leaders Summit | 3-Day In-Person Event
Virtual Live Workshop| Oct. 13 - Nov. 17, 2026
Led by machine learning expert Dave Langer, you will learn everything you need to advance your skills.
Virtual Live Workshop | Oct 21-22, 2026
Through two half-days of lectures, demos, and hands-on exercises, you’ll learn how to build and optimize retrieval-augmented generation (RAG) systems.
Virtual Live Workshop| Oct. 29, 2026
In this half-day session, Donald Farmer walks through real work in Claude Cowork: drafting, research, data analysis, and a reusable workflow.
Virtual Live Workshop | Nov 4-5, 2026
This hands-on virtual workshop teaches attendees the high-leverage habits—clear project instructions, plan-before-edit workflows, and test-based verification.
Virtual Live Workshop| Nov. 12-13, 2026
Led by data science expert Deanne Larson, Ph.D., this hands-on workshop teaches you how to frame problems clearly with Claude, direct its approach, and evaluate its output critically.
Strengthen your skills in applied data science, MLOps, Python, R, and generative AI to drive innovation and deliver enterprise-ready AI solutions.
The TDWI Pathfinder: Data Scientist & ML Engineer Learning Path gives you access to on-demand training:
Access the full suite of research, events, and learning paths to accelerate your AI and machine learning practice. TDWI helps you operationalize AI with fairness, trust, and business impact.