TDWI: All Webinars & Training

Upcoming Webinars
On-Demand Webinars

Upcoming Webinars

Intelligence Efficiency: Routing Each AI Task to the Best Model to Maximize Value
Join experts from TDWI and Snowflake to learn about the latest trends in intelligent model routing, the methods behind the process, and how to rethink how AI is being applied in your organization. October 27, 2026 Register
Expert Panel: Operational AI: Monitoring, Governing, and Scaling Production AI Systems
In this TDWI Expert Panel, industry experts examine how today’s leading organizations monitor AI performance, governing models, and agents to ensure reliability, manage operational risk, and scale AI systems across the enterprise. October 30, 2026 Register
Data Modernization in the Agentic World
Drawing on real-world supply chain scenarios, from anticipating OEM orders to pricing thousands of product variants to servicing connected products, the panel explores what separates initiatives that reach production from those that remain pilots. November 4, 2026 Register
Solution Lab: Building AI-Ready Semantic Foundations for Enterprise Analytics
In this TDWI Solution Lab, research fellow Donald Farmer gives an independent view of semantic layers for AI and the relevant TDWI research. November 5, 2026 Register
Expert Panel: Preparing for AI: Governance, Risk, and Compliance
In this TDWI Expert Panel, industry leaders will examine how organizations can build the trusted data, governance frameworks, and controls needed to scale AI responsibly without slowing innovation. November 9, 2026 Register
Governing Emerging and Diverse Data in the Age of AI – Insights from TDWI's Q4 Blueprint Report
In this webinar, Fern Halper, Ph.D., VP of Research at TDWI, will present key findings from TDWI's Q4 Blueprint Report: Governing Emerging and Diverse Data in the Age of AI. Drawing on survey research and qualitative insights from data and AI leaders. November 13, 2026 Register
Expert Panel: Engineering the Future: Architecting Scalable Data Platforms for AI and Analytics
Join this Expert Panel to learn how to take advantage of innovations in modern data architecture. December 7, 2026 Register

TDWI On-Demand Webinars on Data Management, Analytics, & AI

On Demand

Best Practices for Data Engineering in the Cloud

Explore emerging best practices for data engineering in a modern hybrid cloud environment, including trends, opportunities, and challenges of managing data for analytics in the cloud, the role of a hybrid cloud architecture, and its data engineering challenges.

Fern Halper, Ph.D.

Blending Cloud Data Lakes and Cloud Data Warehouses for Speed, Trust, and Agility

Cloud data lake and cloud data warehouse strategies do not need to conflict with each other. Instead, learn how data lakes and data warehouses can be blended to speed time to reporting and analytics while raising overall trust in the data and enabling fast deployment and turnaround.

David Loshin

Adopting a Hybrid Integration Platform

This webinar looks at the challenges of integrating across this hybrid environment and how a hybrid integration platform (HIP) helps simplify the approach for integration to overcome those challenges.

David Loshin

Learn How Aggreko Is Delivering Business Value by Using Data to Drive Insight in Microsoft Azure

Learn how a leading provider of energy services designed a technology stack in Azure using Microsoft and Attunity products. See how you, too, can drive business value from data to support your business strategy by designing an effective data architecture using the right cloud technologies.

David Stodder

Easing the Path from Cloud Data Lakes to Visual Analytical Insight

Cloud data services, new technologies, and best practices for data ingestion, integration, and visual analytics are coming together to enable your organization to break out of the doldrums. Learn how you can benefit from innovations that will unleash users and drive better decisions.

David Stodder

Using DataOps for Data Pipeline Engineering Quality

The more apps you have, the more complex it is to develop and test data pipelines to ensure the quality of the data flowing through them. Learn DataOps concepts and how DevOps can automate key aspects of data pipeline quality and ongoing monitoring across the entire data life cycle.

David Loshin

Cloud Data Management

Keeping data in the cloud offers massive capacity at low cost but raises many common data management issues, including administration, integration, and security. We’ll examine the drivers, trends, benefits, barriers, platforms, tools, and key business use cases for cloud data management.

Philip Russom, Ph.D.

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