Noise to Knowledge Discussion
 
Date:     Tuesday, January 15, 2019
Place: Computer History Museum
  1401 Shoreline Blvd.

Mountain View, CA 94043
Time: 8:00 a.m. - 1:00 p.m. PT

Complimentary Seminar
Noise to Knowledge: AI and Machine Learning

Deep learning allows security practitioners to apply human-like capabilities such as understanding natural language, speech, vision, and special object recognition to detection, assessment and response. Beyond these expanded capabilities, this technology can also collect data that discerning security professionals can to turn into knowledge

With the ability to learn and develop from a vast network of connected sensors, the evolution of artificial intelligence has the capability to enhance security operations, improve situational awareness and facilitate real-time decision making. Security systems, once disparate arrays of devices, can now connect with building controls and other critical systems through software that learns. In addition to the primary benefit for security, the amalgamation of key data sets enables more departments within an organization to manage resources more effectively to improve operational efficiencies and support resilience.

Advances in Mixed Reality and Artificial Intelligence surround us and impact the Security landscape. As analysis tools become more readily available and affordable, what is your security organization’s Return on Data?

Speakers:
Joe Fairchild, Lead of Technology, Real Estate and Security Center of Innovation, Microsoft
Steve Surfaro, Security Applied Sciences Council, ASIS International
Teresa Anderson, VP Editorial Services, ASIS International/Security Management

Seating is limited, so please follow the link below to reserve your spot today.
ASIS will also provide CEU credits for recertification.