We are already witnessing the infiltration of healthcare and healthcare delivery by robots. In the next few years this infiltration will become a full-on assault on the traditional apprenticeship nature of medical training and care delivery. The reasons for this are simple: demand for care exceeds capacity; our clinical knowledge base is expanding at unprecedented rates that make it impossible for any clinician to keep abreast; cost of care is too high; access to care has been constrained by physical barriers – the location of a facility or the hours of its operation.

Technology advancement and broad-based commercialization of wearables and sensors are pivotal to the shift towards siteless trials enabling remote, unobtrusive and real-time capture of patient data. This use of sensors and real-time data capture vastly improves the quality of clinical data with the potential to reduce site queries and monitoring visits, not to mention the accessibility to unprecedented volumes of patient data to power safety and clinical insights.

Like it or not, AI will soon infiltrate every aspect of our society from our refrigerators to autonomous cars and everything in between. Combined with data and data science, AI offers new, smart ways to solve existing problems and create fresh and exciting opportunities. But how do you determine the importance of an AI initiative for your organization and how do you ensure you derive the maximum benefit from implementing such projects?

IT firm Cognizant has appointed Greg Hyttenrauch as its Executive Vice President and President of Digital Systems & Technology.

Intelligent process automation is increasingly seen as a complement to robotic process automation, extending the scope of robotic process automation with AI technologies. CIOs and other IT leaders should consider some of the important distinctions between the two automation technologies as part of their technology roadmaps.