Pharma Is Ready for Personalized Analytics

Posted by Jérôme Chabrillat on Mon, Jun 04, 2018

A sales rep preparing for her week isn’t thinking: What’s in my sales dashboard? What is my progress towards my call plan? She’s thinking: What are the burning issues in my territory this week? How should I adjust my plan based on the latest events and information that I have? Then she manually navigates her way through dashboards and reports to find these answers.

This slow, manual process isn’t unique to reps. It also applies to HQ functions, and it will only get more difficult over time as new data become available. Accessing the right information at the right time and in the right way is critical to more effective decisions and efficient execution. User-centered design, technology and artificial intelligence can transform this experience with personalized analytics.


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Five Myths About Artificial Intelligence

Posted by Arun Shastri on Mon, May 07, 2018

D. Sahay co-wrote this article with Arun Shastri


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

Presenting at the 2018 PMSA Annual Conference provided us with the opportunity to think through some common myths about AI. Before our presentation, we spoke with colleagues and clients, and settled on the following five persistent myths:


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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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