November 28, 2017 – Dr. Richard Gliklich
As artificial intelligence and advanced analytics are increasingly lauded for uses in life sciences and healthcare, it’s becoming difficult to differentiate between the different terms, to understand what is real and what is hype, and to understand how to best leverage these technologies for advancing real-world evidence and demonstrating value.
This webinar explores:
- The varying levels of AI, including machine learning, deep learning, NLP, and predictive analytics, and how they are being applied in life sciences for measuring and predicting outcomes
- Innovative approaches to generating real-world evidence and demonstrating value that combine advanced technologies, analytics and big data
- Case examples of using advanced technologies for accessing larger sample sizes, increasing speed to data, predicting high risk populations, and personalizing health delivery