PowerBI and AI with Jen Stirrup
Is Artificial Intelligence part of your data analytics strategy? Richard chats with Jen Stirrup about how data analytics and business intelligence continue to evolve to include different elements of artificial intelligence. Natural language interfaces are one aspect, but machine learning can play an even larger role - if you continue to do your diligence! Jen talks about needing quality data to feed to machine learning algorithms and the challenges of dealing with data bias and confirmation bias. We've had these battles all along in analytics, but the new AI tools can amplify your mistakes - there are no shortcuts to good data!
Episode 628 of the RunAs Radio podcast, hosted by Richard Campbell, titled "PowerBI and AI with Jen Stirrup" was published on March 20, 2019 and runs 35 minutes.
March 20, 2019 ·35m · RunAs Radio
Summary
Is Artificial Intelligence part of your data analytics strategy? Richard chats with Jen Stirrup about how data analytics and business intelligence continue to evolve to include different elements of artificial intelligence. Natural language interfaces are one aspect, but machine learning can play an even larger role - if you continue to do your diligence! Jen talks about needing quality data to feed to machine learning algorithms and the challenges of dealing with data bias and confirmation bias. We've had these battles all along in analytics, but the new AI tools can amplify your mistakes - there are no shortcuts to good data!
Episode Description
Is Artificial Intelligence part of your data analytics strategy? Richard chats with Jen Stirrup about how data analytics and business intelligence continue to evolve to include different elements of artificial intelligence. Natural language interfaces are one aspect, but machine learning can play an even larger role - if you continue to do your diligence! Jen talks about needing quality data to feed to machine learning algorithms and the challenges of dealing with data bias and confirmation bias. We've had these battles all along in analytics, but the new AI tools can amplify your mistakes - there are no shortcuts to good data!
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