Artificial intelligence goes hand-in-hand with machine learning, natural language processing and other technologies, all of which can be combined to process the huge amounts of big data that we create on a daily basis. In the healthcare industry, being able to process this data and to draw new conclusions isn't just a matter of making money. It's a matter of improving the lives of millions of patients. That numerous clinical trials end in failure, is no secret. But, AI can play a vital role in analyzing results from failed trials to help sponsors uncover insights and patterns that can help improve design and management of future trials. Because AI methods have only begun to be applied to clinical trials in the past 5 to 6 years, it will most likely be another few years before AI's full impact can be accurately assessed.