From Reactive Recovery To Predictive Resilience: The AI Shift In Business Continuity
•TechFrom Reactive Recovery To Predictive Resilience: The AI Shift In Business ContinuityByGouri Sankar Dash,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Counci...
•Opinions expressed are those of the author.
•| Membership (fee-based)Jun 10, 2026, 06:30am EDTGouri Sankar Dash, Engagement Director at TCS with 20+ years driving enterprise data, AI platforms and multimillion-dollar transformations.
هذا الخبر من Forbes. خبر يقدم أدوات ذكاء اصطناعي للتلخيص والترجمة والاستماع.
TechFrom Reactive Recovery To Predictive Resilience: The AI Shift In Business ContinuityByGouri Sankar Dash,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. | Membership (fee-based)Jun 10, 2026, 06:30am EDTGouri Sankar Dash, Engagement Director at TCS with 20+ years driving enterprise data, AI platforms and multimillion-dollar transformations. gettyToday’s digitally interconnected economy has elevated resilience from an operational requirement to a strategic imperative. Organizations now operate in an increasingly disruptive environment, where challenges range from sophisticated cyber threats to large-scale physical disruptions. The real question is no longer if disruption will occur, but how effectively it can be managed.The Limits Of Traditional BC/DR ModelsTraditional business continuity and disaster recovery (BC/DR) models struggle to keep pace with modern enterprise demands. Designed for a slower, less complex world, these frameworks often rely on manual intervention and assume that recovery windows of several minutes are acceptable. In today’s real-time economy, however, even brief downtime can result in significant financial loss, regulatory exposure and reputational damage.What is emerging is a fundamental shift: from reactive recovery to predictive resilience.AI As The Engine Of TransformationArtificial intelligence is central to enabling this transformation. By continuously analyzing patterns across infrastructure, applications and transaction flows, AI allows organizations to detect anomalies early and act before disruptions escalate. Instead of responding after failures occur, businesses can proactively mitigate risks.Equally important is AI’s ability to drive automated response. Traditional systems often introduce delays due to human decision making. AI-enabled environments, by contrast, can instantly isolate affected systems...المصدر: Forbes | Source: Forbes
ملاحظة تحريرية | Editorial Note: نُشر هذا المقال في الأصل بواسطة Forbes. خبر (Khabr) هي منصة إعلامية أردنية مرخّصة تعمل بالذكاء الاصطناعي. نضيف قيمة تحريرية من خلال: تحليل ذكي للأخبار، ملخصات تلقائية، رواية صوتية بالذكاء الاصطناعي، ترجمة متعددة اللغات، وتدقيق الحقائق. هدفنا جعل الأخبار أكثر وضوحاً وسهولةً للقارئ العربي.
This article was originally published by Forbes. Khabr is a licensed Jordanian AI-powered news platform (Registration #82086). We add editorial value through: AI-powered news analysis, automated summaries, AI audio narration, multi-language translation (Arabic, English, French, Turkish), and AI fact-checking. Our mission is to make news more accessible and understandable for Arabic-speaking audiences worldwide.



