MIT Bootcamps

AI is a fundamental, transformative technology like the microprocessor or the Internet. In the coming decades it will impact nearly all aspects of business. Unfortunately, few good resources exist for our future business leaders to learn about practical AI solutions and how to integrate them into their businesses. In this E-Seminar, Kevin Dewalt of Prolego will teach individuals how AI can generate revenue in business applications, how to identify and develop AI use cases within your business environments and how to mitigate risks on any new AI initiative. You will be able to put these new skills to immediate use at your company or startup. This is a business skills training and not a technical training. You won’t learn how to build a neural network or perform feature engineering. Instead, they will learn how to use fundamental AI concepts such as training data, machine learning, deep learning in customer conversations and proposals. You will learn how to identify emerging business opportunities for AI solutions like computer vision and natural language processing. Kevin Dewalt is the CEO and co-founder of Prolego and has 25 years of experience as a corporate innovation leader, entrepreneur, and startup investor.

The Introduction to Deep Technology E-Seminar will provide a high-level overview of emerging areas in Deep Tech including the Internet of Things, Autonomous Vehicles, Deep Learning, and Virtual reality, as well as some underlying enabling technologies. A portion of the talk will describe what participants can expect from the upcoming Deep Tech Bootcamp hosted at MIT. Josh Siegel is an Assistant Professor in Computer Science and Engineering at Michigan State University (MSU) and the lead instructor for MIT’s Internet of Things and Deep Tech Bootcamp. He received Ph.D., S.M. and S.B. degrees in Mechanical Engineering from MIT. Josh and his automotive companies have been recognized with accolades including the Lemelson-MIT Student Prize and the MassIT Government Innovation Prize. He has multiple issued patents, published in top scholarly venues, and been featured in popular media. Dr. Siegel’s ongoing research develops architectures for secure and efficient connectivity, applications for pervasive sensing to vehicle diagnostics, and new approaches to autonomous driving.

Jim Lampert responds to questions from the previous lecture about working with universities.