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  Artificial Intelligence

AI For Commercial Life Sciences: 3 Trends You Can’t Ignore In 2020

by Rasim Shah  (contributor )   •   Feb. 17, 2020  

Disclaimer: All opinions expressed by Contributors are their own and do not represent those of their employers, or BiopharmaTrend.com.
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As we enter a new decade, our belief in the the impact of Artificial intelligence (AI) is only getting stronger. Supporting the industry to drive the right drug to the right patient at speed is a huge responsibility that we take very seriously. Towards the end of the last decade we have seen great progress made within life sciences and the use of AI, but moving into 2020 the spotlight on commercial teams and gaining competitive advantage with AI will intensify.

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Can AI tell us why things are happening? How can we operationalise AI to drive more personalised engagements? How can we support field teams beyond the next best action? How can we predict the future of our brands vs the competition? We need scale with AI, but at the same time we need to be mindful of the different data sets in each market, how can AI help? These are just some of the questions we are asked today by life science commercial teams as we continue to help adoption across the industry.

Supporting commercial teams (sales representatives, sales managers, brand and marketing managers) with AI is not without its challenges. Data access, data privacy, trust and ethics all need to be considered, but utilising data that is already available and providing real world recommendations with full validation and explainability is possible today.

In 2020 we believe the following 3 key trends will drive the use of AI for commercial life sciences leading to scale:

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