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DTSTART;TZID=America/New_York:20260319T140000
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SUMMARY:Data\, AI\, and Digital Resilience: Building Secure\, Intelligent Systems for a Complex World
DESCRIPTION:As organizations face mounting cyber threats\, increasingly complex hybrid infrastructures\, and pressure to deliver uninterrupted services\, the ability to turn massive volumes of machine data into real-time insight has never been more critical. \nThis session\, featuring leaders from government and industry\, explores how enterprises are strengthening digital resilience using cloud-native capabilities\, including AWS services that unify observability\, cybersecurity\, and artificial intelligence to detect\, respond\, and recover faster. \nPanelists will discuss emerging strategies for harnessing telemetry data across IT\, security\, and business systems in AWS and hybrid environments to improve visibility\, reduce downtime\, and build greater trust in digital operations. \nKey themes include: \n\nUnified visibility across hybrid and multi-cloud environments: How organizations are breaking down silos and leveraging AWS and cloud-native tooling to monitor and manage complex data ecosystems.\nAI-driven detection and response: Using automation\, analytics\, and machine learning to anticipate and mitigate threats before they impact mission outcomes.\nOperational resilience and compliance: Building secure cloud architectures that align with evolving regulatory demands\, such as FedRAMP\, DoD frameworks\, and sector-specific requirements\, while ensuring business continuity.\nThe human factor in data-driven operations: Empowering teams with context-rich insights\, collaboration\, and analytics to operate confidently amid rising complexity.\n\nAttendees will learn how forward-thinking organizations are transforming their data pipelines into strategic assets\, fueling faster decisions\, stronger cyber defense\, and smarter digital experiences across the enterprise.
URL:https://leadershipconnect.io/event/data-ai-and-digital-resilience/
LOCATION:ZOOM
CATEGORIES:Webinars
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