There’s a tremendous amount of buzz these days around Artificial Intelligence, and the concepts and techniques associated with it. These concepts and techniques involve sophisticated technology, and their explanations are often confusing to a non-technical audience.
Although artificial intelligence (AI) draws a lot of attention in the consumer engagement space, it’s also poised to make a dramatic impact in life sciences.
Several trends are converging in life sciences that bring new challenges and opportunities for which AI technologies are ideally suited. These trends include precision medicine, improved treatment safety and efficacy evaluations, the increasing complexity of scientific questions, and the explosion of data from wearable and implantable devices.
Did you know employees in 44% of life sciences companies typically need to draw from 7 or more structured data sources to find answers? And when you add unstructured data to the mix, another 38% also have 7 or more unstructured data repositories where they could find possible answers? That's a lot of data silos to look through, and as much as 36% of an employee's day can be spend looking for information.