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Featured Webinars

Upcoming Webinars

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

Practical Predictive Analytics – Results of New TDWI Best Practices Research

Join TDWI Research VP Fern Halper as she discusses the results of her most recent Best Practices Report on practical predictive analytics.

Fern Halper, Ph.D.

AI for BI: Tapping Into the Potential of AI and Machine Learning for Business Intelligence

View this TDWI Webinar to learn how AI-powered BI can enable especially non-technical users to accomplish projects faster with greater relevance and accuracy. This Webinar will discuss TDWI research into common BI challenges and how AI methods and technologies such as machine learning are enabling organizations to improve decision-making.

David Stodder

Strategies for Solving Business Problems Faster with Visualytics

This webinar will discuss the visualytics fusion, what it means for business users and analysts, and provide examples of how to apply visualytics to solve business problems.

David Stodder

Modernizing Data Architecture With Streaming CDC

In this webinar, we will discuss the market need for streaming CDC, how it differs from other techniques, and use cases and case studies.

David Loshin

Data Architecture for IoT Communications and Analytics

This webinar explores some fundamental aspects of IoT data architecture that will continuously adapt to the dynamic nature of massive numbers of connected sensors and other end-point devices. We will examine IoT communication, data streaming, ingestion and analysis, and deployment of developed analytical models for automated and predictive decision making.

David Loshin

Modernizing Data Analytics: Moving Beyond Hadoop

In this webinar, we will explore some of the past factors that motivated the move to Hadoop for data management and analysis and then consider the relevance of those factors as we move toward the future. We will then discuss alternatives for modernized data warehousing, followed by a discussion of how to dovetail the use of Hadoop in a modernized data warehouse environment.

David Loshin

The Automation and Optimization of Advanced Analytics based on Machine Learning

In this TDWI webinar, you will learn about data, tool, platform, and technology requirements for machine learning and how automation can help optimize ML-driven advanced analytics.

Philip Russom, Ph.D.

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