Whether your organization has already begun the necessary process of incorporating data analytics and artificial intelligence into pharmacy operations or it is undergoing a due diligence project to decide if it's time to implement a pharmacy technology upgrade initiative, one thing is for sure: Data analytics and artificial intelligence will have a tremendous impact on how pharmacies operate, both today and well into the future. Pharmacies that are early adopters of such technology will have strategic advantages over those pharmacies that choose to delay. Pharmacies that embrace pharmacy technology could generate a lot more money than pharmacies that don't. Therefore, Pharmaceutical companies are especially interested in fast adoption of big data and analytics. For one, it has been increasingly more challenging to bring breakthrough treatments to the market at a consistent rate. As more treatment options lose patent protection and become generic, it can be harder for second line products to compete for the attention of healthcare professionals. Big data and machine learning in pharma and medicine could generate substantial revenue annually, based on better decision-making, optimized innovation, improved efficiency of research/clinical trials, and new tool creation for physicians, consumers, insurers and regulators.