Five Critical Steps for Successfully Leveraging AI

Posted by Arun Shastri on Fri, Apr 27, 2018

Dharmendra Sahay co-wrote this blog post with Arun Shastri.

This post is the first in a two-part series.

In a few days, we’ll be presenting our thoughts on how to create impact with artificial intelligence at the 2018 PMSA Annual Conference. We’ll talk about how AI is being used in life sciences and how AI could be used, and we’ll bust some myths. We’ll also share detailed advice on how to start or expand an AI capability at your organization, which includes these five critical steps:


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The Keys to Pharma’s AI Success Include ‘Disruptive Collaborations’ and a Willingness to Innovate and Iterate

Posted by Pratap Khedkar on Wed, Jan 24, 2018

This is the final post in a three-part series on artificial intelligence in healthcare. 

Of all of the marketplace dynamics and advances currently posing a threat to pharma’s traditional methods and models, artificial intelligence and advanced data science are causing their fair share of consternation. I recently addressed this issue with my colleague John Piccone, a ZS principal and advanced data science expert who previously led IBM Watson Health’s life sciences offerings, and he succinctly stated the commercial transformation challenge that lies ahead: “Pharma’s role is going to change from educating people to educating algorithms.” How can pharma get there? What steps can companies start taking now to adapt? John has some ideas.


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AI Will Usher in ‘Dramatic’ Changes to Pharma’s Commercial Model

Posted by Pratap Khedkar on Thu, Jan 18, 2018

This is the second post in a three-part series on artificial intelligence in healthcare. 

Artificial intelligence is poised to revolutionize the healthcare ecosystem. Providers are starting to apply AI in an effort to leverage patient data, therapy information and standards of care to make better treatment decisions. Payers are experimenting with AI to help with pre-authorization and claims adjudication. Whether or not the pharma industry is ready, AI is changing the way that pharma’s customers and stakeholders do business, thereby necessitating changes to pharma’s own commercial practices. And, according to my colleague John Piccone, those changes will be “dramatic.”


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Is AI in Pharma Ready to Move From Hype to Hope?

Posted by Pratap Khedkar on Thu, Jan 11, 2018

This is the first post in a three-part series on artificial intelligence in healthcare. 

We encounter artificial intelligence platforms outside of healthcare on a regular basis, like when we ask Siri a question or view Netflix’s list of suggested films. However, within healthcare, and in the pharmaceutical industry specifically, AI has yet to live up to that level of success. In the near future, will AI become embedded in pharma R&D? Will it enable treatment decisions to be more automated—and more accurate? I recently called my colleague John Piccone, a ZS principal and advanced data science expert who previously led IBM Watson Health’s life sciences offerings, to discuss AI’s use both within pharma and throughout the healthcare ecosystem.


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The State of the Union Between Pharma and Tech

Posted by Vickye Jain on Tue, Jan 09, 2018

Sandeep Varma and Raghav Sharma co-wrote this blog post with Vickye Jain.

Pharmaceutical companies have a reputation for lagging behind other industries when it comes to technology, but that reputation now seems unwarranted in many respects. As technology professionals who work with pharmaceutical clients, we feel an obligation not only to share how pharma is innovating, but also to bring those innovations back to pharma. At two recent industry events, the Strata Data Conference in Singapore and the Spark Summit in Ireland, we learned a great deal from the presentations that we attended, and almost just as much from the audience’s reaction to our own presentations. Here are our top three takeaways from these conferences:


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