By FINTECH Books Contributor, Jehangir Byramji Follow: @jehangir_b Technology transforms economies and often brings about profound changes to underlying business models. This is true for Artificial Intelligence, Big Data and Internet of Things. As costs reduce and accessibility improves, more industries employ the technologies and more startups will appear with new ideas of how to use these technologies to disrupt the status quo. This type of Disruption has been underway for over a decade even within Insurance. Car Insurers offer discounts in return for putting small monitoring devices in your car that lets them know your driving conditions and whether you are a safe driver – or not. Predictive Analytics is one of the most exciting changes happening now. For Insurance, this means no longer providing compensation and replacement for losses after the event but rather predicting and avoiding losses. It is not just for vehicles, the same is true when it comes to our bodies. Companies including Google, Fitbit, Pfizer are heavily investing in developing new biometric sensors. Combined with Machine Learning, the information from these sensors can be used for very different purposes; for example, starting with monitoring and improving fitness, subsequently helping prevent disease and extend lifespans. This can intersect and challenge the Sports, Healthcare and Insurance industries. Companies that previously might have viewed themselves as tangential, are now competing to offer customers the same benefits. In this new world, consumers will have multiple industries from which to choose a brand to buy from. If they are looking to have a healthy and long life, do they trust those that provide financial guarantees in cases of ill health? Or should they trust the brands that have offered them basic solutions to fitness goal setting and apps to monitor progress? Or should they choose brands that demonstrate a broad range of technological competence, but no heritage in healthcare?