3 Artificial Intelligence Value Cases for Business

There are a variety of neural network model techniques in deep-learning (ex: deep reinforced learning) that have evolved more recently as tangible value-cases surface. One of the more compelling applications of deep reinforced learning is in the pharmaceutical and bio-pharmaceutical industry where this modeling technique can be used to optimize chemical reactions. This allows for scientists to reduce the trial-and-error related with research and development activities. AI platforms can optimize the reagent quantities and compositions based on a positive feedback method after analyzing the reaction outcome. Such platforms are ultimately providing not just granular enhancements in time savings but are leading to faster product-to-market efforts by enhancing various R&D and logistical processes for the pharma and biopharma industries.