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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

Smart Data Discovery and Transparency for Complying with CCPA, GDPR, and other Privacy Regulations

Learn about the challenges of data privacy and protection regulations such as CCPA and GDPR and the steps necessary to comply. We will examine technologies and best practices to improve compliance and govern the range of sensitive data for trusted BI and analytics processes.

David Stodder


How to Use Data Prep to Accelerate Cloud Data Lake Adoption

Learn how you can address data prep challenges as you move to the cloud for data management and how you can turn raw, cloud-based source data into output suited for analytics and ML. Explore the tech trends shaping data prep for cloud data lakes and data warehouses.

David Stodder


Modernizing Metadata

Learn about innovations in metadata tools, including smart tool automation to improve developer productivity (thanks to smart algorithms and AI) and address data lineage as well as new data semantics to enhance business metadata and improve self-service data exploration and analytics.

Philip Russom, Ph.D.


Cloud Data Warehouses: Are They Right for Your Organization?

Is the cloud right for your organization? Learn about the state of on-premises versus cloud data warehousing and analytics, use cases for each, and the challenges and best practices for moving to the cloud. A demonstration of a cloud-based data warehouse and analytics solution will also be offered.

Fern Halper, Ph.D.


Cloud Data Warehouses: Are They Right for Your Organization?

Is the cloud right for your organization? Learn about the state of on-premises versus cloud data warehousing and analytics, use cases for each, and the challenges and best practices for moving to the cloud. A demonstration of a cloud-based data warehouse and analytics solution will also be offered.

Fern Halper, Ph.D.


Six Steps for Generating Business Value from Operational IoT Data

Learn how to accelerate your organization’s ability to realize business value from operational IoT data, plus best practices for reducing data prep, eliminating data latency, and making operational IoT data actionable. We’ll offer tips for balancing data governance, security, and accessibility.

David Stodder


Six Best Practices to Ignite the Customer Experience with IoT

Learn how to deliver targeted, effective customer experiences and become more customer-centric by processing data from IoT devices and applications. We'll explore using advanced analytics and AI to derive predictive and prescriptive insights that differentiate your customer experience.

William McKnight


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