Five Types of Thinking for High Performing Data Scientists

Episode notes

Data Transformers Podcast Five Types of Thinking for High Performing Data Scientists Play Episode Pause Episode Mute/Unmute Episode Rewind 10 Seconds 1x Fast Forward 30 seconds 00:00 / 00:30:10 Subscribe Share Apple Podcasts Google Podcasts Spotify Stitcher RSS Feed Share Link Embed Five Types of Thinking for High Performing Data Scientists " /> Apple Podcasts Google Podcasts Spotify Stitcher Episode Title : Five Types of thinking for high performing Data Scientists Episode Summary: Artificial Intelligence is all the rage currently. But there was a time when AI has gone through ‘AI Winter’ when there was not much interest in AI. Dr. Anand Rao has gone through those AI Winters. To avoid AI winter, we need to be cognizant of AI risks. Should be balance between AI innovation and risks. Should not reduce customer risk. In thos episode, Anand talks about five types of thinking that data scientists should focus on to be high performing data scientists. As the Global head of AI at PWC, Anand knows a lot about the customer uptake of AI and (un)surprisingly only 20% of the companies are actually deploying AI. Listen to the episode to find out which functions are adopting AI the most.

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