Welcome to episode 437 of the AI in Action podcast, the show where we break down the hype and explore the impact that Data Science, Machine Learning and Artificial Intelligence are making on our everyday lives.

Powered by Alldus International, our goal is to share with you the insights of technologists and data science enthusiasts to showcase the excellent work that is being done within AI in North America and Europe.

Today’s guest is Ramesh Durvasula, SVP R&D IT at Eli Lilly in Indianapolis. Eli Lilly was founded in 1876 by Colonel Eli Lilly, a man committed to creating high-quality medicines that met real needs in an era of unreliable elixirs peddled by questionable characters. His charge to the generations of employees who have followed was this: “Take what you find here and make it better and better.”

More than 145 years later, the company remains committed to this vision through every aspect of its business and the people they serve starting with those who take its medicines and extending to healthcare professionals, employees and the communities in which they live. Eli Lilly pursues pharmaceutical innovation, provides high-quality products and strives to deliver superior business results.

In the episode, Ramesh will talk about:

His role and an overview of the R&D function at Eli Lilly 

An insight into how they work with data, tech and analytics 

Their focus on computational science and data modelling 

The make-up of the team and how they attract talent 

Upcoming project in model-driven drug discovery 

What makes Eli Lilly a great place to work 

To find out more about all the great work happening at Eli Lilly, check out the website www.lilly.com or follow them on LinkedIn, Instagram or Twitter @LillyPad. You can also connect with Ramesh directly on LinkedIn or follow him on Twitter @rdurvasula.

What did you think of Ramesh’s podcast? Where do you see the future of AI and Data in the Healthcare industry heading over the next few years? We would love to hear your thoughts on this episode, so please leave a comment below.

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