Predict and Prevent Crime with Autonomous Data Machines-Silicon Valley Campus - Carnegie Mellon University

Predict and Prevent Crime with Autonomous Data Machines-Silicon Valley Campus - Carnegie Mellon University

Predict and Prevent Crime with Autonomous Data Machines

CMU-SV welcomes William Santana Li 

Date/Time: November 10, 1:30 pm (PT) / 4:30 pm (ET) 

Location: CMU Silicon Valley Campus: Bldg 23, Rm 118 [directions

Watch the Recorded Lecture:

Predict and Prevent Crime with Autonomous Data Machines

Crime has a $1+ trillion negative economic impact on the USA annually. Knightscope (www.knightscope.com) is developing technology to predict and prevent crime utilizing a portfolio of autonomous of robots, analytics and engagement. With an innovative combination of hardware+software, these Autonomous Data Machines and the Knightscope Security Operations Center (KSOC) user-interface, are a pivotal part of the solution to help cut crime by 50%. The first machine in the portfolio, the Knightscope K5, generates over 90 terabytes of data per machine per annum and that data is utilized not only for monitoring / surveillance but also to influence the autonomous navigation stack.

The technology is being developed to help security professionals do their jobs more effectively with "smart mobile eyes and ears" at their fingertips. The machines perform the monotonous, computational heavy, and sometimes dangerous work while humans can use their analytical skills for decision-making based on actual events in lieu of raw data feeds.

Learn more about one of the most important technologies being developed in Silicon Valley as the Knightscope K5 Autonomous Data Machines patrol around the Carnegie Mellon University Silicon Valley Campus at NASA's Moffett Field.

Speaker Bio: Bill is an American entrepreneur with over 25 years of experience and has a broad and deep range of expertise gained from several global assignments in the automotive sector and a number of startups. During his career at Ford Motor Company, Bill held over 12 business and technical positions, focused on 4 continents, cutting across each functional area.

These positions ranged from component, systems, and vehicle engineering with Visteon, Mazda, and Lincoln; to business & product strategy on the US youth market, India, and the emerging markets in Asia-Pacific and South America; as well as the financial turnaround of Ford of Europe. In addition, he was on the AMAZON team, which established an all-new modular plant in Brazil. Subsequently, he served as Director of Mergers & Acquisitions.

After internally securing $250 million, Bill founded and served COO of GreenLeaf LLC, a Ford subsidiary that became the world’s 2nd largest automotive recycler. Under his leadership, GreenLeaf grew to a 600-employee operation with 20 locations worldwide and $150 million in sales. At the age of 28, Bill was the youngest senior executive at Ford worldwide.

After successfully establishing GreenLeaf, Bill was recruited by SOFTBANK Venture Capital to establish Model E Corporation as its President and CEO, a new car company where the “Subscribe and Drive” philosophy was first pioneered in California. He subsequently co-founded Build-To-Order Inc. (BTO) as its President and CEO, a new car company based on the direct distribution of build-to-order products. Bill also founded Carbon Motors, and as its Chairman and CEO, focused it on developing the world’s first purpose-built law enforcement patrol vehicle. He also built a world- class advisory board comprised of senior officials that had worked directly for 3 different U.S. Presidents.

Bill earned a BSEE from Carnegie Mellon University and an MBA from the University of Detroit Mercy. He is fluent in Spanish and conversant in Portuguese.