ML Applications for Physical Security

The presentation will cover ML challenges and solutions related to physical security. Corporate security teams contend with natural disasters, riots, protests, terror attacks and other physical disruptions to business operations and supply chains. The data generated about these events has grown exponentially. Filtering through this data to make decisions and take appropriate actions is overwhelming for corporate security teams. To address this issue, Stabilitas has developed an AI integrated SaaS platform that assists security teams in filtering and monitoring threat data and acting during critical events, in order to avoid threats, reduce downtime and increase safety. The platform integrates crowd-sourced and vetted expert knowledge with machine learning and visualization tools to provide accurate and relevant intel which can be customized to exchange critical information quickly, and also allows security teams to interact as a cohesive system.

Jason Flaks is a senior technology executive with 20+ years of experience successfully leading, managing, and bringing to market software products based on advanced technologies in areas such as Artificial Intelligence, Machine Learning, Virtual and Augmented Reality, Speech Recognition, Audio Signal Processing, and Streaming Media. He holds an MS degree from the University of Miami in Engineering and over 30 patents. Prior to joining Stabilitas, Jason led the Speech Analytics product and engineering organization for Marchex and was a primary contributor to the Xbox Kinect and HoloLens products at Microsoft. Before Microsoft Jason worked for several years in the R&D divisions of Dolby Laboratories and Gibson Guitars.