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Many descriptions of trench warfare in World War I describe it as “months of boredom punctuated by moments of extreme terror” (Guy's Hospital Gazette (1914), The New York Times Current History of the European War (1915), among others). Those responsible for public safety today can relate to this description. Critical decisions in public safety often have to be made with incomplete and uncertain information under varying degrees of stress. Life and death hang in the balance as a consequence of many of these decisions. The gravity of the task attracts a considerable set of requirements for documentation. Approximately 30% of a first-responder's time is spent on documentation. A 911 call-taker works on multiple screens running different applications simultaneously entering the same data many times. Post-incident investigations require multiple sources of data to be integrated manually, and roughly 80% of the aggregated case files likely have errors. Assisting in the monotonous, time-consuming, and error-prone task of filling out forms and documenting events can save lives. I'll talk about how automatic speech recognition, language understanding, object and activity recognition in video, and effective UX design can help with this problem.
Mahesh Saptharishi has more than 20 years of technology leadership experience and is the Chief Technology Office for Motorola Solutions, Inc. In this role, he leads innovation with a specific focus on applications that enable humans to make effective decisions quickly while under stress by designing an artificial-intelligence (AI) enabled user experience (UX) to focus human attention and accelerate time-critical workflows
Previously, Saptharishi spent five years as CTO for Avigilon, a Motorola Solutions company and a leading provider of video and analytics solutions. Under his leadership, Avigilon became a market leader in video analytics and AI with capabilities such as self-learning video analytics, appearance search and unusual motion detection. Prior to Avigilon, he founded two companies that also focused on leveraging AI and video for security and safety applications.
A highly respected technology expert and thought leader, Saptharishi earned a doctorate degree in machine learning from Carnegie Mellon University and has also authored numerous scientific publications, articles and patents.
