Life sciences organizations have invested heavily in developing AI solutions but face numerous challenges in scaling and adoption. When asked to identify the top challenges with leveraging AI/ML, 30% of life science organizations have difficulty identifying AI-ML use cases and 18% are challenged to prove business value of their AI-ML solutions. The statistics showcase some of the obstacles including that users won't leverage insights they don't trust. Explore how Decision Intelligence can be used for structured discovery of business-critical decisions and understand how it influences improved decision support across user workflows.  Discover strategies to address internal cultural biases and heuristics to gain trust and buy in so users across the organization can arrive at smarter decisions faster.

Key Learning Objectives:

To explore how Decision Intelligence can be used for structured discovery of business-critical decisions and understand how it influences decision support across user workflows.
Learn how you can address internal cultural biases and heuristics to gain trust and buy in so users across the organization can arrive at smarter decisions faster.
Discover how to effectively target AI/ML to add the greatest value across an organization

Speakers

Lucas Glass,
VP Analytic, IQVIA Center of Excellence 

Sharath Bennur,
Director, IQVIA AI Solutions Delivery