TDWI: All Webinars & Training

Upcoming Webinars
On-Demand Webinars

Upcoming Webinars

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
AI-Ready Data: Giving Enterprise Agents Context They Can Trust
In this webinar, TDWI's Donald Farmer joins experts from Informatica and Microsoft to show how one data foundation can serve both analytics and agents. November 10, 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
Solution Lab: Decision Intelligence Meets Agentic AI: Building Governed AI for Banking
This session will feature a practical solution demonstration highlighting how these technologies can support governed, outcome-driven decision-making. November 19, 2026 Register
Expert Panel: Building a Scalable Data Foundation for AI and Analytics
In this expert panel webinar, we’ll explore how leading organizations are modernizing their data foundations to support enterprise-scale AI and analytics. December 1, 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

What’s Ahead in Data Management in 2019?

Data is evolving into larger volumes from new sources in a wide array of structures, containers, and interfaces. An expert panel discusses data management trends, including new data platforms (Hadoop, cloud computing, and columnar databases), cloud data management, advancements in data catalogs and metadata, and data governance and stewardship.

Philip Russom, Ph.D.

Facilitating Analytics in the Cloud

Explore two different aspects of analytics in the cloud: cloud migration challenges and best practices and how Tableau’s visual analytics platform can be integrated with cloud services to provide self-service access to a broad range of reporting and analytics functions.

David Loshin

Squeeze Every Drop of Business Value from Your Data Lake

Data catalogs contribute ease, precision, and productivity of analytics, self-service, and governance to modern data platforms. Learn how a catalog can inventory data in a data lake for self-service data exploration and data-driven operations and help users find the right data quickly.

Philip Russom, Ph.D.

What’s Ahead in Analytics in 2019?

Experts discuss the hottest trends in analytics, including: predictive analytics/machine learning/AI, self-service analytics, robotic process automation, and intelligent and automated analytics.

Fern Halper, Ph.D.

What’s Ahead in Analytics in 2019?

Experts discuss the hottest trends in analytics, including: predictive analytics/machine learning/AI, self-service analytics, robotic process automation, and intelligent and automated analytics.

Fern Halper, Ph.D.

Best Practices for Managing and Monitoring Open Source Predictive Models

Building a predictive analytics/machine-learning model is far earlier than deploying one, which can take six months or more. Learn how to overcome deployment challenges and monitor models in production, the role open source plays, and what technologies can help support deployment of these models.

Fern Halper, Ph.D.

Best Practices for Real-Time Analytics for High Data Volumes

Learn about hybrid transactional/analytical processing, an alternative architecture that can simultaneously balance transactional and analytical processing. We’ll explain how you can reduce traditional (ETL), manage data storage according to usage, and perform in-memory data management.

David Loshin

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