Welcome to episode 129 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 the United States and Europe.

Today’s guest is Bharat Sharma, Executive Director of Engineering and Data Science at athenahealth in Boston. Bharat is responsible for leading Machine Learning, Data Platforms and Data Engineering organizations at athenahealth, who partners with hospitals and ambulatory customers to drive clinical and financial results.

athenahealth offer medical record, revenue cycle, patient engagement, care coordination and population health services. They combine insights from their network of more than 160,000 providers and approximately 117 million patients with deep industry knowledge and perform administrative work at scale. 

In the show, Bharat will discuss:

The benefits of applying AI and Machine Learning at athenahealth 

Interesting projects they are working on 

Using Data Science and Machine Learning to improve the user experience 

Challenges he overcame when scaling the team 

How to build a successful Data Science team 

Advice to those looking to kickstart their Data Science career 

What excites him for the future of AI in Healthcare 

To find out more about Bharat and his work at athenahealth,  check out the website www.athenahealth.com or follow them on Twitter @athenahealth. You can also connect with Bharat on Linkedin.

What did you make of Bharat’s podcast? Where do you see the future of AI & Data Science within Healthcare heading in the next few years? We would love to hear your thoughts on this episode, so please leave a comment below.

If you would like to hear more from AI in Action then please subscribe and don’t forget to like and share with your friends on social media.

Subscribe to the AI in Action Podcast: