The State of AI Adoption in Pharma

Posted by ZS Editors on Tue, May 01, 2018

Artificial intelligence, predictive analytics and other such technologies are coming to a pharmaceutical company near you. In fact, some would say that they’ve already arrived. But just how ready are pharma companies to embrace and integrate these technologies, and can AI really deliver?


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Collaboration in Clinical Operations: Three Takeaways From SCOPE 2018

Posted by Qin Ye on Fri, Mar 02, 2018

Abhay Jha and Venkat Sethuraman co-wrote this blog post with Qin Ye.

More people than ever before attended the ninth-annual Summit for Clinical Ops Executives (SCOPE)—a testament to the growing importance of innovation within clinical development. Attendees from across life sciences gathered in Orlando Feb. 12-15 to discuss clinical development challenges and solutions, and to network with peers and partners.


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Are You Ready to Deliver an AI-Enabled Customer Experience?

Posted by Pratap Khedkar on Tue, Feb 13, 2018

Saby Mitra co-authored this blog post with Pratap Khedkar.

When it comes to cutting-edge analytics initiatives, you’re probably more inclined to think of companies like Amazon and Netflix, which have become synonymous with the savvy use of analytics to gauge customer affinity and deliver recommendations. But pharma companies are—or could be—well equipped to leverage data and analytics to deliver an even better informed and better targeted customer experience.


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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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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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