May 13

Watch Now

When disaster strikes, every second counts. Emergency response teams know they need to do whatever it takes to react swiftly and efficiently in a crisis. Increasingly, they’re turning to cutting-edge technologies to help understand and react to unexpected weather events, pandemics and natural disasters. Using artificial intelligence and machine learning applications, these departments are tracking emergency events in real time and responding in a way that’s smarter, faster and better than before.

On May 13 at 2 p.m. Eastern / 11 a.m. Pacific, join Emergency Management for this crucial webinar exploring how emerging tech is improving emergency response in states and cities across the country – and how you can implement these technological solutions in your own jurisdiction.

Specifically, you’ll learn:

  • How artificial intelligence tools can instantly comb through thousands of publicly available social media posts – along with millions of data points from IOT sensors and other internet-connected devices – to alert your first responders with crucial information in an emergency.
  • How A.I. identified the emerging COVID-19 virus in Wuhan, China, almost two weeks before it was first reported in local media.
  • How emergency departments from New York City to Orlando to the rural South are using machine-learning technology to react more quickly and deploy first responders more efficiently.
  • How to ensure that your underlying sensor data is real and reliable, and how to separate fact from rumor on social media.


Otto Doll

Otto Doll — Moderator

Center for Digital Government and Former Chief Information Officer, City of Minneapolis, MN and State of South Dakota

As the Minneapolis CIO for seven-plus years, Mr. Doll was responsible for all City IT services. Formerly South Dakota's CIO for 15 years with responsibility for all state government computing, telecommunications, state radio, and public broadcasting. While with IT research firms, Mr. Doll has advised Fortune 1000, Federal, State, and Local Government CIOs on information technology assessment and alignment to business needs. He has served as a Director with the United States General Services Administration, developing information technology strategic plans and oversight policy. Mr. Doll received his Computer Science degree from Virginia Tech and is a Senior Executive Fellow of the Kennedy School of Government, Harvard University. He is a past President of NASCIO — a national organization of state CIOs. He also is a past President of the Metropolitan Information Exchange (MIX) — a national organization of city and county CIOs. Mr. Doll was named to Government Technology's Top 25 Doers, Dreamers and Drivers.

Alex Jaimes

Alex Jaimes

Chief Scientist and Senior Vice President of AI, Dataminr

Alex Jaimes is the Chief Scientist and Senior Vice President of AI at Dataminr. Alex leads all AI and data science efforts at Dataminr. He is a scientist, keynote speaker and engineering executive with over 15 years of intelligence experience in research and product impact at scale in the United States, Japan, Chile, Switzerland, Spain and South Korea.

Morgan Wright

Morgan Wright

Senior Fellow, Center for Digital Government and Contributor to TheHill.com

Morgan is an internationally recognized expert on cybersecurity strategy, cyberterrorism, identity theft and privacy. Morgan's landmark testimony before Congress on Healthcare.gov changed how the government collected personally identifiable information. He is currently a contributor to TheHill.com on matters of cybersecurity, national security and intelligence in addition to his national news appearances. Previously Morgan was a Senior Advisor in the US State Department Antiterrorism Assistance Program and Senior Law Enforcement Advisor for the 2012 Republican National Convention. In addition to 18 years in state and local law enforcement as a highly decorated state trooper and detective, Morgan has developed solutions in defense, justice and intelligence for the largest technology companies in the world including Cisco, Alcatel-Lucent/Bell Labs, Unisys and SAIC.