Operational Resiliency 2.0 – How to better manage crises with data
Vice President, Global Security Solutions
In 2020, more than 600 mass shootings took place in the U.S. and there were 22 weather and climate disasters that cost the nation a combined $95 billion. The COVID-19 pandemic, coupled with civil unrest, continues to be a source of constant news, data and social media chatter around the world. From active shooters and riots, to extreme weather and wildfires, every one of these critical events created rivers of data flowing from sources like law enforcement, government agencies, news sources and social media. Many business continuity professionals tasked with monitoring this crisis struggled to make sense of it all.
Unfortunately, data volumes are not going to recede. The constant barrage of information, changing almost daily, can turn into waves of undefinable static if business resiliency teams don’t have the right technology in place to create true risk intelligence they can act upon.
Be it a cargo ship stuck in the Suez Canal, a rise in COVID-19 cases in targeted regions, or a flooding in China, the next level of crises management lies in the ability to transform data surrounding a crisis into accurate, specific intelligence that will impact a company’s people, places and property. In this session, Matt Bradley, Vice President, Global Security Solutions, at OnSolve, will outline how crises management teams can turn data surrounding a critical event into true actionable intelligence with AI and ML. Matt will also discuss how leading customers in complex industries are already using AI to accelerate operational resiliency and business continuity amidst global calamity.