Discussion on use of artificial intelligence (AI) and health specifically is ubiquitous in the medical and lay press reflecting the perception that it has enormous potential to reduce the personal and global burden of many long-term medical conditions. Currently diabetes appears to be the poster child for the application of AI in health care for a number of reasons.1 Worldwide, the number of adults and children developing diabetes continues to rise in parallel with global access to smartphone technologies. On a daily basis, personal data from people living with diabetes are continuously created and logged. Although the main variable of interest is glucose, with the rise in consumer tracking technologies, glucose data are being supplemented with additional information related to nutrition, physical activity, and sleep. With the increasing availability of additional sensor technologies for physiological monitoring including smart insulin pens, social media, and records of internet searches, the diabetes data pool will continue to grow.2,3