Stijn "Stan" Christiaens is Founder and Chief Data Citizen at Collibra. With all the incredible results in today's generative AI, is this when robots finally take our jobs? Historically, new technologies become a tool for people to change and improve the jobs that need doing, and AI is no different. Many organizations are investing in AI-powered solutions to enable faster problem-solving and better decision making, yet many struggle to see positive results. Done right, AI can make companies more efficient by unlocking data-driven insights to save costs or help generate more revenue.

There is no greater challenge for healthcare and life science organizations than ensuring that their digital transformation along with better data management will improve patient outcomes, increase operational efficiency and productivity, and better financial results. The drivers of healthcare and life science's transition from data rich to data driven are not new and include the race to manage cost and improve quality. Some new drivers include the growth of at risk contracting for providers, the threat of care delivery disruption by the retail industry and the impact of drug discovery in the challenge to balance speed to market with costs. Health and life science industries are data rich. IDC estimates that on average, approximately 270 GB of healthcare and life science data will be created for every person in the world in 2020. Transformation of data into insights creates the value for health and life science organizations coupled with organizations establishing a data driven culture.

How do businesses extract knowledge from the 175 zettabytes of worldwide data that IDC estimates (via Network World) we'll be reaching by 2025? With the technology available to capture and store it all, the challenge remains how to turn this glut of data into useful information from which we can extract accurate insights that lead to the wisdom required to make great decisions. How valuable is this information? We'll look to IDC (via Deloitte) once again: It's worth a mind-boggling $ 430 billion, and by 2020, organizations that deliver actionable insights from unstructured data will result in significant productivity gains over their competitors. As much as $ 2 billion would be the average revenue boost annually if companies found a way to increase data usability by just 10%.