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RESEARCH & RESOURCES


Featured Webinars

  • How Generative AI and Large Action Models Will Transform the Way We Work

    In this webinar, TDWI senior research director James Kobielus will discuss the business process automation market, how AI is being adopted in this arena, and how generative approaches such as LAMs offer a fresh new paradigm for automating complex processes faster, cheaper, and more scalably than has been possible with traditional approaches. October 9, 2024

  • The State of Data Governance

    In this webinar, TDWI senior research director James Kobielus will discuss key findings from the recently examined data on coherent strategies for data governance. October 14, 2024

  • From Migration to Modernization: Boosting Your Data Infrastructure for Success

    Join this TDWI webinar, with Fern Halper, TDWI’s VP of research; Arnab Sen, VP of data engineering at Tredence; and Sami Akbay, group product manager – data and analytics at Google, to learn how to transition from legacy systems to modern, cloud-based infrastructures, democratize data across the organization, boost operational efficiency, and enable advanced technologies for sustained growth. October 22, 2024

Upcoming Webinars

International Broadcasts

TDWI Webinars on Big Data, Business Intelligence, Data Warehousing & Analytics

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

Six Ways to Accelerate ROI from Data Warehouse and Data Lake Modernization

Join this TDWI webinar to learn six ways to accelerate ROI from data warehouse and data lake modernization. Big factors driving modernization are intelligent data integration and management using artificial intelligence (AI) capabilities and cloud-native serverless computing. We will discuss how AI-infused, serverless cloud computing enables organizations to improve scalability, agility, and performance with data warehouses and data lakes.

David Stodder


Bring Your Analytics Investments into the Cloud-Native World

Join TDWI's senior research director James Kobielus to learn how to improve the reach, performance, and sophistication of enterprise AI, machine learning, and other data analytics applications by refactoring them as cloud-native, containerized microservices.

James Kobielus


Keeping Data Usable in a Consumer Data Privacy World

In this presentation, Evan Levy will review common data protection techniques and approaches for protecting customer data. Alex Gutow, Snowflake's director of product marketing, will also review the new data protection and data governance capabilities available with the Snowflake Data Cloud and how they're enabling companies to securely share and collaborate with data in new ways.

Evan Levy


Preparing for the Next-Generation Cloud Data Architecture

In this webinar, TDWI affiliate analyst David Loshin helps you prepare for the next-generation cloud data architecture and discusses steps to take best advantage of this modernized environment.

David Loshin


Building the Unified Data Warehouse and Data Lake – Results of New TDWI Best Practices Research

Join TDWI Research VP Fern Halper and TDWI Senior Research Director James Kobielus as they discuss the results of their most recent Best Practices Report on building the unified data warehouse and data lake.

Fern Halper, Ph.D.


Modern Data Warehousing Strategies for Accelerating Success with Data Viz, Analytics, and AI

Join us for the third in a series of four webinars based on the recent TDWI e-book on modern cloud data warehousing. In this webinar, we will discuss how to take advantage of a cloud-based data warehousing environment to improve business-critical data visualization, analytics, and AI/ML workloads.

David Stodder


Delivering Faster Insights: The Hybrid Cloud Data Warehouse

In this webinar, we discuss the potential of a hybrid cloud data warehouse enabled by a logical data fabric, with data virtualization at its core, to deliver faster insights.

David Loshin


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