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MTE August 2025: Safeguarding AI: Mitigating Data Corruption Through Business Continuity

You are now viewing the Meet the Expert 2025 webinar series, a platform where industry leaders and specialists come together to share critical insights on emerging risks, innovative solutions, and best practices across various disciplines.

In this session, we delve into the growing concern of data corruption and its direct threat to the reliability of AI systems.

With AI becoming central to operations and decision-making, understanding how to protect data integrity is no longer optional—it's essential.

Join us for another great session of Meet the Experts on August 28, 2025.

Moh Heng Goh

MTE Aug Website BannerJoin us for this informative seminar on MTE August 2025: Safeguarding AI: Mitigating Data Corruption Through Business Continuity.

Featured Speaker

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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.

Why This Webinar Matters

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.

Key Discussion Points:
  • Understanding Data Corruption: Learn how even minor, unintended changes in data can undermine AI functionality and outcomes.
  • Real-World Consequences: Examine case studies where corrupted data resulted in financial, operational, or reputational consequences.
  • BCM as a Mitigation Strategy: Discover how BCM practices—such as regular data backups, system redundancy, real-time monitoring, and fail-safes—help preserve data integrity and AI reliability.
  • From Vulnerability to Resilience: The session concludes with a call to action—assessing current AI infrastructures and implementing forward-looking BCM strategies to turn potential weak spots into sources of strength.
Who Should Attend

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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