{"id":261947,"date":"2024-06-16T14:00:31","date_gmt":"2024-06-16T14:00:31","guid":{"rendered":"https:\/\/www.techopedia.com\/?p=261947"},"modified":"2024-06-16T14:00:30","modified_gmt":"2024-06-16T14:00:30","slug":"ai-in-business-continuity-management-expert-insights","status":"publish","type":"post","link":"https:\/\/www.techopedia.com\/ai-in-business-continuity-management-expert-insights","title":{"rendered":"AI in Business Continuity Management, Expert Insights 2024"},"content":{"rendered":"
Business continuity management<\/a> (BCM) is a strategic approach that enables organizations to identify potential threats and implement processes to ensure that their critical operations continue during and after any disruptions.<\/p>\n “Business continuity management asks the question: Are you ready for when the wheels fall off? [In other words] can your business withstand and quickly recover from disruptions?” says Chantal Bisson-Krol, vice president of artificial intelligence and machine learning solutions at Kinaxis Inc.<\/strong>, a provider of supply chain management software.<\/p>\n BCM involves identifying potential risks, developing strategies to mitigate those risks, and implementing plans to maintain critical functions during crises, she says. In today’s challenging business environment, companies must implement strong business continuity management practices that effectively use artificial intelligence<\/a>.<\/p>\n In this article, we explore how AI in business continuity management can help businesses spot and mitigate potential risks. We also get expert insights on how to implement artificial intelligence efficiently.<\/p>\nKey Takeaways<\/span><\/h2>\n
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