Welcome to episode 17 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 Dr. Michael Ferrari. Michael is the Founder, Managing Partner & Principal at Atlas Research Innovations. They provide applied research, scientific analysis and bespoke services to clients in the private and public sectors, government and academia with an emphasis on climate, risk, agriculture, environment, energy, water, IoT & space.
Michael has spent nearly two decades as a scientist, engineer and economist in a wide variety of industries. Most of this work falls at the food-water-energy-infrastructure nexus and encompasses Data Science, Spatial Informatics, AI/Machine Learning, Financial & Physical Risk, Smart City & Earth Observation Technologies, and more.
Michael earned his PhD from Rutgers where his research focused on better understanding the Industrial/Environmental interface and the Earth/Space/Biosphere complex from both information systems and an evolutionary perspective. His doctoral work in numerical modelling and applied mathematics was supported by the NASA Goddard Institute for Space Studies.
In today’s episode, Michael will share with you:
- His interesting work at Atlas Research Innovations
- What he loves about his job
- Key tips on making the move from academia to industry
- The exciting world of IoT
- How to effectively apply AI within your business
- Building a great Data Science team
- The importance of being involved in the Data Science community
To find out more about Michael and his work at Atlas Research Innovations, please check out the website www.atlasresearchinnovations.com and you can also connect with Michael on Linkedin and Twitter @MichaelRFerrari.
What were your key learns from Michael’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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