AI in Pharma. Afraid to Fail?
Building A Foundation For Profitable Digital Transformation in Sci-Tech R&D
Artificial intelligence. Machine learning. Big data. Within the next decade 70% of large companies will attempt enterprise digital transformation, but only 30% will succeed*.
How do you get past the AI hype and begin accelerating discovery in a digitalized world? Pave a clear path forward for data and digital transformation success with knowledge from CAS digitalization experts. CAS data analysis specialists have modeled custom data sets for decades using human intelligence to navigate the IP and patent landscape and provide business intelligence. Our predictive analytics and chemical R&D technology solutions speak for themselves.
This report provides several case studies to demonstrate the challenges and opportunities in building a successful digital transformation framework with actionable AI analytics.
Download the digital transformation whitepaper to learn how CAS can progress your digital transformation strategy.
* McKinsey Quarterly, February 2017