AI technologies have been growing in importance over the last decade and are likely to take an even more significant role in the lab of the future. A survey by the Pistoia Alliance + found that AI and machine learning were the top three investment priorities for 60% of life science companies. AI is a general term that covers a range of techniques that leverage computing power to solve data problems, such as machine learning, deep learning, natural language processing, and machine vision. McKinsey research has identified almost 270 companies working on AI technologies in drug discovery. AI tools will be at the heart of the lab of the future, enabling more accurate analysis of complex systems, image processing, and pattern recognition.
