The trouble with data scientists is that far too many organizations expect them to somehow intuitively apply artificial intelligence (AI) to advance business goals even though most of them have limited exposure to the industry segment they now find themselves employed.
Very few data scientists before that are hired by an organization have any kind of vertical industry expertise.
The gap between data science teams and the rest of the business as highlighted by Alejandro Muller, founder of Savvy AI, a digital lending platform that makes use of AI to reduce loan processing costs, during a virtual AI at Scale Summit hosted by the AI Infrastructure Alliance is wider than many business executives fully realize.
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Minding The AI Gap
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