Lissy Hu started CarePort Health while she was pursuing a joint MD-MBA degree. She talks with us about solving one of healthcare’s greatest challenges: improving post-acute care coordination.
Today, many CMOs are more than qualified to fill the chief executive role, with deep experience in digital business data analytics and thinking creatively to connect with customers and achieve goals.
There is an epidemic in machine learning due largely to a few core misconceptions. As CEO, your team could be giving you a “false confidence” that they have it under control.
Christopher Bouton, molecular neurobiologist turned entrepreneur, sees a lot of potential for artificial intelligence and deep learning algorithms in the healthcare sector.
To ensure companies achieve the full potential of AI – and to mitigate its potential risks – CEOs cannot relegate AI strategy to IT departments.
How to use employee data to boost business operations—and your bottom line.
With the advent of machine learning, big data, and natural language processing, businesses can—and must—harness big data analytics to assess leader performance.
After relying on AI to help narrow down prospective employees for us, it’s up to recruiters to make sure candidates live up to their potential.
CEOs who can understand and identify the potential of machine learning could significantly increase their revenues or decrease their costs.
As a CEO cognizant of both the cyber risks as well as the potential, you have been used to certain data metrics for managing your enterprise, but perhaps it’s time to rethink your strategy.