Balancing the Tension Between Informed Analytics and Blackbox AI

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AI and in particular, deep learning, is a powerful tool for uncovering useful relationships within data; but once found, can’t explain what they mean. Contrast this with humans, armed with tribal knowledge and more traditional analytics, who understand the data relationships but just can’t find as many of them. In this episode of the IoT show, I speak with Drew Conway about how to find the balance between man and machine when looking for data value.


Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast108notes


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Om Podcasten

This talk show is about the next big thing in value creation. It is for fund managers and corporate leadership investigating smart digital transformation for their companies, and for service providers, subject matter experts and vendors wanting to broaden their digital skills. Although the show’s focused on value creation in the context of private equity, it’s sector agnostic and can get pretty geeky, digging into IoT, data science (analytics & ML) and other high technology. At a high level, the show is about how to frame the digital investment thesis and how to execute it. Your host, Bruce Sinclair, is an ex-PE operating partner who has written the best-selling books, The Private Equity Digital Operating Partner and IoT Inc, and has certified thousands of professionals with his ICIP program and LinkedIn Learning courses. Season 1 of this show was called, The IoT Inc Business Show.