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Db2 12 ushered in the first phase in the evolution of the Db2 Query Optimizer from a statistics-based cost model to using artificial intelligence (AI). In this webinar, we will cover the neural networks powering the Db2 AI Query Optimizer, the integration of AI and how it helps the optimizer generate better access plans to improve query performance, and step through an example showing how it works.
Speakers:
Brandon Frendo
Brandon Frendo is a software developer within IBM's Db2 Query Compiler and AI team. Since joining IBM in 2015, Brandon has contributed to a variety of query optimization improvements and is currently one of the infrastructure leads for the Db2 AI Query Optimizer.
Liam Finnie
Liam Finnie joined IBM in 1999 as a software developer, and since then has been designing and implementing various features in Db2 LUW. Most recently, Liam has been leading the Machine Learning Infrastructure area for the Db2 AI Query Optimizer.
Vincent Corvinelli
Vincent Corvinelli is a senior software developer in the Db2 Query Compiler and AI team at IBM. Since joining IBM in 2000, Vincent has worked on various query optimization features and improvements in Db2. Most recently, Vincent has been leading the transformation of the Db2 Query Optimizer based on artificial intelligence.
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