TDWI: All Webinars & Training

Upcoming Webinars
On-Demand Webinars

Upcoming Webinars

Expert Panel: Driving Business Impact with Real-Time Data
Join this Expert Panel to discover how your enterprise can leverage streaming data, event-driven architectures, and data platforms that support in-memory analytics to act on insights the moment they are created. August 31, 2026 Register
Next-Generation Analytics: From Semantic Layers to Generative BI – Insights from TDWI’s Q3 Blueprint Report
In this webinar, Fern Halper, Ph.D., VP of Research at TDWI, will present key findings from TDWI's Q3 Blueprint Report: Next-Generation Analytics: From Semantic Layers to Generative BI. September 8, 2026 Register
Prepare Your Data Estate for AI: A Practical Path from Legacy SQL Server to the Cloud
In this session, TDWI Research Fellow Donald Farmer and experts from IBM, Microsoft, and AMD draw on real-world migrations to show how organizations move legacy SQL Server workloads to Azure with limited disruption and connect those moves to wider plans for analytics, automation, and AI. September 10, 2026 Register
Expert Panel: Semantic Layers: The Foundation for Trusted Generative BI and AI-Assisted Analytics
The panel will assess which capabilities are maturing, where current offerings fall short, and which decisions data leaders should make now. September 14, 2026 Register
Governed Data Products for Cloud Migration and Trusted AI
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 Register
Expert Panel: Data Observability and Reliability at Scale
Join TDWI's Research Fellow, Donald Farmer, together with industry experts as they discuss how organizations are building data observability and reliability across modern data ecosystems and the practices that support trusted data for AI and analytics. September 28, 2026 Register
The State of Data and AI Governance
The State of Data and AI Governance webinar will examine the organizational, cultural, and technical foundations required to govern data while enabling AI effectively. This includes the frameworks, roles, processes, and technologies needed to ensure trust, compliance, and responsible use at scale. October 5, 2026 Register
Expert Panel: Reinventing Data Management for Enterprise Innovation
This session focuses on how to modernize by taking advantage of the latest technologies, cloud data platforms and services, and best practices. October 19, 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. Discover practical approaches that improve visibility, strengthen governance, optimize performance, and deliver trusted AI deployments that will continue to create business value long after deployment. October 30, 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

Six Strategies for Data-Driven Decision Making - How to create excellence through relevant, contextual insights

Learn how your organization can deliver relevant data insights and enable data interaction for a wide range of decision makers. We’ll explore innovations in AI and alerting for proactively delivering the right answers to the right users, as well as how you can ensure users can trust in data answers while your enterprise adheres to data governance policies.

David Stodder

The Modern Data Warehouse

In this webinar, we explore the benefits of the cloud as a platform for data warehouse modernization, such as automatic scaling improved workload performance. We’ll look at data warehouse migration issues and the importance of a cloud-first strategy that includes simplified management and security.

David Loshin

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

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