2023 - How Life Science Companies can Realize the Full Value of Their R&D Data
Date2023-09-19
Deadline2023-09-19
VenueWebinar, USA - United States 
KeywordsPharmaceutical Industry; Research and Development; Biotech
Topics/Call fo Papers
Biotech and Pharmaceutical organizations have increasingly large volumes of data at their disposal, yet most struggle to extract value from it. While many companies are keen to use artificial intelligence (AI) and machine learning (ML), a majority don’t have the necessary foundations in place for using AI in R&D digital transformation initiatives to be successful.
In this webinar, the featured speakers will explore the root causes behind this problem and describe how commonly found deficiencies in data quality, infrastructure and governance can be addressed. Attendees will also gain insights from two case studies that illustrate the importance of establishing and maintaining good data management practices, regardless of the size or stage of their digital journey.
Join this webinar to get insights on the most common barriers to leveraging AI in R&D data digital transformation and how to overcome them.
In this webinar, the featured speakers will explore the root causes behind this problem and describe how commonly found deficiencies in data quality, infrastructure and governance can be addressed. Attendees will also gain insights from two case studies that illustrate the importance of establishing and maintaining good data management practices, regardless of the size or stage of their digital journey.
Join this webinar to get insights on the most common barriers to leveraging AI in R&D data digital transformation and how to overcome them.
Last modified: 2023-08-28 23:46:59
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