This week's guest is the legendary Vin Vashishta! Vin details his A.I. commercialization strategy, which allows data science teams and machine learning companies alike to be profitable and successful long-term.
Vin is founder of and chief data scientist at V Squared, his own consulting practice that specializes in monetizing machine learning by helping Fortune 100 companies with A.I. strategy. He's also the creator of several platforms (including The ML Rebellion) for learning about critical skill gaps related to artificial intelligence such as commercial strategy, data science leadership, and model explainability.
In addition to the episode's focus on A.I. strategy, Vin answers questions from SuperDataScience listeners (thanks, Serg, Joe, Daniel, Nikhil, and Michael!), including on:
• Efficiency gains from no-code or low-code machine learning tools
• The biggest skills gaps that data scientists have
• The most disturbing data sets
• Investing in socially beneficial models
• The most challenging problem with commercializing AI
Listen or watch here.
(With thanks to Harpreet Sahota for another stellar guest suggestion!)
