The quest to bring medicines faster to market, amidst rising regulatory approvals and complicated clinical trials, is driving the adoption of AI in the pharmaceuticals and life-sciences sector. For some years now, this industry has been gravitating towards technologies like robotic process automation, machine learning, and analytics to improve outcomes in drug discovery, clinical trials and research and development.

According to a survey conducted by Infosys titled Amplifying Human Potential: Towards Purposeful Artificial Intelligence, the combined pharmaceuticals and life-sciences industry is the most mature in AI adoption.

90%

agree that AI is fundamental to the success of their organizational strategy

40%

say their organizations have deployed AI and that it is working as expected

Top 5 examples of AI technologies in use in the pharmaceuticals and life sciences sector:

Big data automation

AI for predictive and prescriptive analytics

Machine learning

Expert knowledge systems

Neutral networks