In this next-level follow-up to our Crisis Management & Business Resiliency Program, we deep dive into issues you and your industry peers chose. Topics are unique to each year’s course, as selected by previous years’ attendees of the CM&BR Program. Participants will acquire knowledge and insights from leading industry topical experts as well as your course colleagues. We can also discuss your own pressing organizational, program, management and resiliency challenges privately or in class. Student Projects: Individual teams of students will select industry issues or specific problems/processes for study. These Projects require students to work together in small groups during the week and present their results to the Class at the end of the course. Following the Course, if interested, a Team’s Student Project can result in a published article and/or conference presentation.

Autonomous robots. Self-driving cars. Smart refrigerators. Now embedded in countless applications, deep learning provides unparalleled accuracy relative to previous AI approaches. Yet, cutting through computational complexity and developing custom hardware to support deep learning can prove challenging for many enterprises—and the cost of getting it wrong can be catastrophic. Do you have the advanced knowledge you need to keep pace in the deep learning revolution? Over the past eight years, the amount of computing required to run these neural nets has increased over a hundred thousand times, which has become a significant challenge. Gain a deeper understanding of key design considerations for deep learning systems deployed in your hardware.