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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

  • Unlocking the Power of Generative AI: 5 Essential Steps to Make It Enterprise-Ready

    Join Fern Halper, Ph.D., TDWI VP of research, and Informatica’s GVP of ecosystems and technology, Rik Tamm-Daniels, as they discuss key requirements for transforming generative AI applications into enterprise-grade solutions. October 17, 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

Crossing Healthcare Chasms with Information Integration Best Practices

Information integration is critical for becoming smarter with data. Across all industries, organizations want to use data analytics to discover how they can reduce costs without sacrificing quality and effectiveness. Firms both large and small want to pull diverse data streams together. Users can then uncover insights and innovate at a faster pace than their competition.

David Stodder


The Data Warehouse Modernization Tipping Point

Changes in the way that today’s business transpires have slowly been cutting away at the ability to meet fully the needs of data consumers. At some point, those who manage the data warehouse will hit a threshold or boiling point that will make modernization mandatory.

Philip Russom, Ph.D.


The Changing Fabric of BI Environments: Supporting Line-of-Business Personnel and Data Scientists

Today’s BI environments have split personalities. They must support the production of routine reports and analyses used every day for decision-making by line-of-business employees, and yet, also enable data scientists and data crunchers to “freewheel” through the data in an unplanned, experimental fashion. What magic is this? How can implementers create a sustainable BI environment with these two seemingly contradictory purposes? Does one replace the other? What are the technological requirements for this new world?

Claudia Imhoff, Ph.D.


Beautiful Data in the Eye of the Beholder: Data Visualization Best Practices

High-quality data visualization is critical to the success of business intelligence, analytics, and data presentation. Because graphical interaction with data is now the norm, users are excited—and also have increasingly high expectations. Technology is important, but you also need to execute best practices to avoid pitfalls and to create beautiful data visualizations that are clear, effective, and accurate.

David Stodder


Strategies for Data Exploration and Analysis in the Age of Big Data Analytics

According to multiple TDWI surveys, the vast majority of IT users feel that big data is an opportunity, because of the new and more granular insights it provides about customers, operations, partners, and many other business entities and processes. Likewise, most users now see advanced forms of analytics as the primary path to reaping insights from big data, whether big data comes from traditional enterprise applications or new sources, such as Web applications, application logs, sensors, machines, and social media. For these reasons, TDWI sees many user organizations diving deeper into big data analytics.

Philip Russom, Ph.D.


Six Best Practices for Gaining Value from Enterprise Reports Using Next-Generation Analytics

Valuable organizational data about a company’s business and its customers is often found in reports. This might include financial statements, billing invoices, healthcare patient records, or statements of benefits. Such data is often stored in a company’s enterprise content management (ECM) systems.

Fern Halper, Ph.D.


In-Memory Computing: Expanding the Platform Horizon Beyond the Database

In-memory database management systems have matured to the point where they predictably promise accelerated application performance. By adopting alternative storage layouts amenable to in-memory processing, these databases take advantage of efficient use of available memory to reduce or even eliminate the data latencies typically associated with significantly slower disk-based storage media.

David Loshin


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