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

One Source of Truth: Optimize Your Data Lake Pipeline for Faster Business Insights

Leaders from TDWI, Qlik, and AWS will share how an end-to-end platform can deliver a single source of truth for data analytics and provide actionable insights. They’ll explain trends in AI and analytics that require diverse data sources and discuss how to leverage an enterprise data catalog.

Fern Halper, Ph.D.

Six Strategies for Enabling Central IT to Deploy Cloud Data Management More Effectively

Learn how central IT can develop a positive, effective strategy for cloud data management and how you can take advantage of the cloud’s benefits while tending to enterprise concerns across on-premises and cloud systems, including governance, security, data management, and performance.

David Stodder

Virtual Solution Spotlight: The Case for Unified Platforms for Data and Analytics

In this session, TDWI analysts will discuss trends in data management and analytics that are driving the need for a unified data and analytics platform. We will describe how this environment can align data management and visual analytics development and increase agility and speed.

Six Success Factors for Getting Started with Machine Learning Across Your Enterprise

Machine learning (ML) is fast becoming part of the fabric of many organizations as they look to embark on AI-based transformation. Organizations are embracing machine learning to gain better insights, make better decisions, and improve competitive advantage.

Fern Halper, Ph.D.

Six Strategies for Modernizing Data Visualization with Dashboards and Reports

Learn how to modernize data visualization with dashboards and reports and make it easier for users to gain actionable insights. Explore the importance of balancing self-service with what enterprise BI reporting and metadata systems can provide and which tech trends enablie organizations to lower TCO.

David Stodder

Data Management Essentials for the Hybrid Cloud Data Warehouse

Explore hybrid cloud environments and steps for simplifying the management of a hybrid cloud data warehouse. Learn how to use data federation across environments, leverage universal connectivity, manage data pipelines, and manage multicloud deployments.

David Loshin

Striking the Balance Between Business and IT: Best Practices for Success in Self-Service BI

Learn how to strike a balance between maintaining control over data and granting domain experts the freedom to explore and analyze data directly so they can leverage their knowledge and experience to uncover hidden insights. We’ll offer real-world best practices to enable insights-driven decision making.

Fern Halper, Ph.D.

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