Life sciences companies are well aware of the huge potential of emerging technologies including artificial intelligence/machine learning (AI/ML) for rapid data analysis, complexing trending and scenario analysis, and for transforming process delivery through intelligent workflow automation.

Yet, in their keenness to harness these options, many companies try to run before they can walk. With this in mind, Steve Gens of Gens & associates and Remco Munnik of Iperion Life Sciences Consultancy offer five best-practice tips for achieving a definitive, trusted regulatory and product information asset base capable of supporting intelligent innovation.

Get your copy of the five critical data governance elements companies must have in place before they can attempt to become smarter in their use of data, here:

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About the authors

Steve GensSteve Gens is the managing partner of Gens & Associates, a life sciences consulting firm specialising in strategic planning, RIM programme development, industry benchmarking, and organisational performance.

 

Remco MunnikRemco Munnik is Associate Director at Iperion Life Sciences Consultancy, a globally-operating company which is paving the way to digital healthcare, by supporting standardisation and ensuring the right technology, systems and processes are in place to enable insightful business decision-making and innovation.


Download whitepaper 'Creating reliable data foundations for AI'