RESEARCH & RESOURCES

Upcoming Webinars

International Broadcasts

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

TDWI Webinars deliver unbiased information on pertinent issues in the big data, business intelligence, data warehousing, and analytics industry. Each live Webinar is roughly one hour in length and includes an interactive question-and-answer session following the presentation.


On Demand

What's Ahead in Data Management in 2021?

The webinar panel brings together a panel of experts, moderated by Philip Russom, TDWI’s lead analyst for data management, to discuss the hottest trends in data management, including: data volumes, structures, sources, interfaces, and latencies; new data platforms; data management in the cloud; data catalogs and glossaries, and machine learning and AI.

Philip Russom, Ph.D.


What’s Ahead in Analytics in 2021?

This webinar brings together a panel of experts, moderated by Fern Halper, TDWI’s lead analyst for advanced analytics, to discuss the hottest trends in analytics, including machine learning, NLP, AI, augmented intelligence, MLOps for analytics, and evolving data platforms to support analytics.


Provisioning Pharmaceutical Commercial Data for Modern Analytics Architectures

Learn about trends in modern data architectures for analytics, how to maintain data management and governance best practices while providing self-service access to raw data, and how to avoid common pitfalls.


Obtaining Maximum Benefit from Enterprise Data | Deloitte Consulting LLP Case Study

Hear from Deloitte's Chris Dinkel about the firm's use of a hybrid solution that enabled their business users with the ability to find answers to their specific inquiries quickly and to uncover answers to questions they never thought to ask.


Data Management Trends for 2021: What You Need to Know for Your Data Strategy

Join this TDWI Webinar to hear perspectives and prognostications on where data management is headed in 2021. We will discuss challenges supporting diverse business users, developers, and data scientists; optimizing BI and analytics workloads; preparing and provisioning the data that users and applications need; and addressing critical governance requirements.

David Stodder


Eliminate Data Chaos by Unifying Your Hybrid Data and Analytics Platforms

Learn how data consumer usage scenarios drive the evolution of a modern, cloud-based information environment and discuss ways to create an end-to-end environment that effectively guards against data chaos.

David Loshin


Enterprise Data and Analytics in the Cloud

This presentation will discuss the challenges in migrating analytics workloads to the cloud along with a review of cloud-native principles and implementation best practices from Talend's customers' experiences with the Talend Cloud on Microsoft Azure.

Evan Levy


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