How to Build an Autonomous Anything
Richard Rovner, Vice President of Marketing for MathWorks

Autonomous technology will touch nearly every part of our lives, changing the products we build and the way we do business. It’s not just in self-driving cars, robots, and drones; it’s in applications like predictive engine maintenance, automated trading, and medical image interpretation. Autonomy—the ability of a system to learn to operate independently—requires three elements:

• Massive amounts of data and computing power

• A diverse set of algorithms, from communications and controls to vision and deep learning

• The flexibility to leverage both cloud and embedded devices to deploy the autonomous technology

In this talk, Richard Rovner shows you how engineers and scientists are combining these elements, using MATLAB® and Simulink®, to build autonomous technology into their products and services today—to build their autonomous anything.

Bio:
Richard Rovner is Vice President of Marketing for MathWorks, the makers of MATLAB & Simulink. He leads the worldwide marketing organization of 330 people that is responsible for strategic planning, product and technology strategy, partner management, digital and field marketing, and corporate communications. In this role, Richard has the opportunity to see how MATLAB & Simulink users advance the state-of-the-art in numerous applications and industries. Before joining MathWorks in this role in 2001, Richard held senior marketing and sales positions at SAS. He spent the first part of his career as what is now called a data scientist, working for ten years developing applications in computer vision and image processing, machine learning, simulation, and statistical analysis. He has a B.S. in Applied Mathematics from Carnegie Mellon University and an M.S. in Computer Science from George Washington University.