The world of health and medicine has broken countless barriers over the last few scores. Life sciences companies have continued to invest significantly in their research of globally corroding diseases, drug molecules discovery and development, and closely monitored clinical trials, to create industry-approved blockbuster medicines. These drugs, gaining precision with time, are curing more diseases and giving patients a chance at better lives. The pharma journey, however, gets complicated with more in-depth clinical and genetic research, as companies continue to find themselves facing more significant ‘unknowns’ than ever before.
Do you have a bookworm or someone who loves to learn on your gift list? Perhaps someone interested in how artificial intelligence (AI) and machine learning (ML) are breaking the traditional barriers in healthcare? Or, maybe you want to grab a hot cup of cocoa and a book on how AI is impacting healthcare to busy your mind on a cold winter day.
Data and technology are etching a new DNA of each touchpoint of our lives today. As we live and breathe, the fourth industrial revolution and its fusion of technologies are dissolving the boundaries of physical, digital, and biological spheres1. As humans, we are more connected than ever before, using extremely advanced technologies, creating unbelievable amounts of extremely granular data. This data explosion is feeding into AI-based quantum computing engines for instant and highly-personalized insights, which help us make better decisions. To operationalize our informed decisions, Internet of Things (IoT) and its connected experience step in to deliver instantaneous desired results. As customers, we are embracing these advancements towards elite customer experiences. As professionals, we need to follow suit, by leveraging data and technology to create innovative products, operational efficiencies, stronger customer equity, and higher profit margins.
With the advancements in the field of science and technology, more and more appliances have integrated systems capable of storing and reporting streams of data. Under the field of telematics, various devices are being used to extract, store and transform information related to vehicles and their usage. The data provided by these devices also contains information regarding various aspects of the driver including the driving patterns.
Need of an hour is the unified rating for drivers that represents how good a driver is, irrespective of the device or telematics service provider (TSP). A lot of information related to driving behaviors is being tracked through in-vehicle telecommunication devices (telematics) that are usually self-installed into a special vehicle port and can be used to predict the level of risk that a driver will cause an accident in foreseeable future. Through this paper, we propose the following methodology to calculate these rating, the driver scores as it is generally called.