Today's pharmaceutical professionals face increasing pressure to discover, position,and repurpose drugs more efficiently than ever before. This requires an almost impossible task of understanding the vast and ever-expanding universe of published medical literature, as well as the ability to analyze that literature in a meaningful way.

Artificial intelligence (AI) technology now empowers scientists to directly harness data and evidence to triage idea generation and hypothesis testing. “Practical creativity” – where ideas are backed by data that offer directional clues to where you can effectively go – is now possible. AI, properly applied, can democratize idea generation, so that scientists have the power at their fingertips to ask questions and get directional answers that warrant additional investigation and investment. This allows them to focus their efforts on smaller, more targeted and highly relevant literature sets.