Welcome to episode 37 of AI Mentors, the podcast that helps you pave the way for a successful career in the world of Data Science and AI.
Powered by Alldus International the premium AI Workforce Solutions, our top consultant’s interview AI Leaders and Data Scientists from around the world about their personal journey to becoming a front-runner in AI. Guests offer practical advice to those interested in becoming a leader in Data Science.
Today's guest is Howard Friedman, Chief Data Scientist, Author and Professor at Columbia University. Howard has a great interest in applying data science with specific experience leading teams in the corporate, academic and public sectors. He has created five startup companies, as well as serving as the director of a Fortune 100 company.
His industry experience has focused mainly on the healthcare, finance, telecommunications and retail sectors, including supporting operations areas of large private equity firms. His skills include leading analytic teams, communicating to senior executive and lay-audiences as well as teaching data science to technical and non-technical teams. He also enjoys writing data-related books.
In the episode, Howard will discuss:
What he loves about his job
How to transition from academia to industry
Showing executives how to successfully digitalize your business
His passion for the potential of data & technology in healthcare
Preparing for the real-world of data
Advice on how to start a career in Data Science
To find out more about Howard and his work, check out his website www.howard-friedman.com, where you can also find out more about his book "Ultimate Price." You can also connect with him on Linkedin or follow him on Twitter @howardsfriedman.
What were your key learns from Howard's podcast? What takeaways did you gain from the show to help in your AI and Data Science aspirations? I would love to hear your thoughts so please leave a comment below.
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