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Upcoming Webinars

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


On Demand

Responsible Data and Analytics – Results of New TDWI Best Practices Research

Join TDWI’s Fern Halper and James Kobielus as they discuss the results of their most recent Best Practices Report on responsible data and analytics.

Fern Halper, Ph.D.


Expert Panel: Cloud Data Modernization

In this panel, TDWI senior research director James Kobielus will engage Jed Dougherty, VP of Platform Strategy at Dataiku, in an in-depth discussion of opportunities and challenges in cloud data modernization.

James Kobielus


Unlock the Power of Spatial Analysis and Data Lakehouses for Better Business Decisions

Join this TDWI Webinar to learn how you can take advantage of the latest technologies for visual spatial analytics and data lakehouses to make location intelligence an integral component of your data science and business decision-making.

David Stodder


Modernizing Data Science and Analytics in the Cloud While Minimizing Business Disruptions

Join this TDWI webinar to learn how you can accelerate cloud migration and modernization of data and analytics to meet pressing data-driven business demands for data science.

David Stodder


Putting Unstructured Data to Work for Your Organization

Join TDWI VP of Research Fern Halper and a panel of experts from Databricks and Snaplogic to discuss deriving value from unstructured data.

Fern Halper, Ph.D.


Succeeding in the Subscriber Economy: How Media and Streaming Businesses Leverage Data to Acquire and Regain Subscribers

Join this TDWI Webinar to learn how organizations can deploy sophisticated subscriber and media analytics on top of scalable cloud data management to win the competition to acquire and retain customers.

David Stodder


Using a Semantic Layer to Democratize the Enterprise Data Lakehouse

In this panel, TDWI senior research director James Kobielus will engage data industry experts from Databricks and Stardog in an in-depth discussion of how semantic layers can facilitate more agile data operations, reduce the cost of data integration, and help deliver powerful insights to address the most complex business challenges.

James Kobielus


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