Data Quality is Crucial in Training Models

As AI becomes an increasingly prominent part of the IT mainstream and as organizations are faced with integrating AI systems with their IT enterprises, there is a growing need for IT professionals to understand the technology and architecture that underlies AI implementations. Thought leader David Linthicum discussses with Thomas Erl the important aspects of AI architecture, and how to best prepare for AI adoption.

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