The primary role of first responders is to pre-empt and intervene in critical situations jeopardising public safety. However, as we shift towards IP-enabled, connected smart cities, law enforcers and other government agencies need to filter through the massive amounts of data that are being captured, processed and stored, to extract timely, actionable insights.
Paul Steinberg, will explain how AI and machine learning can be utilised to correlate data from various sources and data types, and equip public safety agencies with predictive analytics and automation.
Steinberg will outline:
- The data management complexities facing Public Safety agencies with technology acceleration such as facial recognition, biometrics, ANPR.
- How AI is a significant technology paradigm enabling precise decision-making, providing the potential to overcome human limitations.
- Use-case scenarios in public safety, whereby the ecosystem of mobility, software and services solutions are leveraged for actionable intelligence at command and control.
Paul Steinberg – Senior Vice President, Technology, Motorola Solutions