Featured Speaker |
Michael Nieman IT Business Continuity Lead, NTT DATA, Inc.Synopsis |
In an era where Artificial Intelligence (AI) increasingly drives decision-making across industries, the integrity of data has never been more crucial. This insightful webinar tackles the often-overlooked but critical issue of data corruption and its direct impact on AI continuity and reliability.
AI systems are only as good as the data they’re built on. When that data becomes corrupted—due to hardware failure, software glitches, human error, or cyberattacks—the consequences can be far-reaching. From flawed algorithms and inaccurate predictions to severe financial losses, safety hazards, and reputational damage, the risks are very real.
This webinar sheds light on how organisations can take a proactive stance through Business Continuity Management (BCM)—a structured framework that not only addresses potential disruptions but also fortifies AI systems against the unexpected.
This webinar is ideal for:
IT and Data Managers overseeing infrastructure and data health
AI and Machine Learning Engineers are concerned with model integrity
Business Continuity and Risk Professionals aiming to enhance resilience frameworks
Cybersecurity Teams addressing data vulnerabilities
C-level Executives and Decision-Makers looking to safeguard their AI investments
Don’t miss this opportunity to rethink your AI resilience strategy and ensure your organisation stays one step ahead of data-driven disruption.
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