Innovation in Life Sciences Delivers New Breakthroughs

How AI Can Improve Research, Brand Reputation — And Ultimately Patients' Lives
Data & Artificial Intelligence

In Gartner's 2018 survey, CIOs in organizations across the life sciences industry ranked business intelligence and analytics as their #1 priority. 

In order to create new business value, optimize processes, and remain competitive, these organization must make it a strategic imperative to generate valuable insights from data inside and outside the organization.

In this paper, we explore four key areas of opportunity for applying advanced analytics in life sciences:

  • Improve medication adherence
  • Find the right opinion leaders
  • Recruit qualified patients for clinical studies
  • Consider lab automation

Read on to learn more about how data from a connected economy is funneling a wealth of monetization opportunities for business leaders across the life sciences industry.

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