AI Mentors helps you pave the way for a successful career in the world of Data Science and AI
Our consultants 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 and AI.
Firas Lethaus, Head of the Deep Learning Expert Center at the Volkswagen Group joins host Mark Kelly on the AI Mentors podcast to discuss advice on making the move from academia to industry, the importance of communication and team dynamics and generating ROI from data science projects in business
Danish Rafique, Head of Digitalization and Analytics at Bayer joins host Mark Kelly on the AI Mentors podcast to discuss key advice on making the move from academia into industry, why data science in healthcare, the importance of decision-making and ethics, interesting projects at Bayer & much more
Namish Parikh, Founder and CEO at Maiven joins host Mark Kelly on the AI Mentors podcast to discuss the importance of understanding the business side of AI, interesting applications he is seeing within AI in Healthcare, the importance of the product management teams & the commercialization of AI
Patrice Chaperon, Product Analytics Manager at Doctolib joins host Mark Kelly on the AI Mentors podcast to chat about Doctolib’s work within the Healthcare sector, structuring the Data Analytics and Data Science teams, why do data science projects fail, what the future of eHealth looks like & more
Michael Schrapp, Program Lead for Smart Fleet at Siemens Healthineers joins host Mark Kelly on the AI Mentors podcast to discuss Transitioning from academia into industry, pros and cons working with healthcare data, how to add business value with Data Science & Analytics, interesting projects & more
Sanji Fernando, SVP of AI and Analytics Platforms at Optum joins host Mark Kelly on the AI Mentors podcast to discuss how they get the data fit for purpose, understanding the real problems they need to solve, challenges of working within healthcare data, bringing ML models into production and more