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Information Governance – 3 Common Pitfalls and How to Avoid Them

AIIM

What is Information Governance, and Why is it Important? There are many benefits to constructing an Information Governance program plan. Generally, regulatory compliance or litigation activities are at the top of the list and often spur the creation of the IG program itself, but that's just the start of the list of IG benefits.

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Directive M-19-21: What it is and How to Achieve Compliance

AIIM

The National Archives and Records Administration ( NARA ) and Office of Management and Budget ( OMB ) set forth the government-wide policy M-19-21 as a directive to progress how government records are managed. Read on to learn what this directive is, who it impacts, and seven factors necessary to achieve compliance.

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The Value of Data Governance and How to Quantify It

erwin

erwin recently hosted the second in its six-part webinar series on the practice of data governance and how to proactively deal with its complexities. Led by Frank Pörschmann of iDIGMA GmbH, an IT industry veteran and data governance strategist, the second webinar focused on “ The Value of Data Governance & How to Quantify It.”.

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GDPR compliance checklist

IBM Big Data Hub

The General Data Protection Regulation (GDPR) is a European Union (EU) law that governs how organizations collect and use personal data. However, GDPR compliance is not necessarily a straightforward matter. Organizations must uphold these rights and principles, but the GDPR leaves some room for each company to decide how.

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How to become an AI+ enterprise

IBM Big Data Hub

Security, governance, risk and compliance mechanisms are essential not only for governing AI but also for managing the IT estate running AI, providing evidence for regulatory compliance. For example, by using compliance control scanning of terraform templates to fail provisioning if controls are not met.

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How to use foundation models and trusted governance to manage AI workflow risk

IBM Big Data Hub

This is where AI governance comes into play: addressing these potential and inevitable problems of adoption. AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities. An AI governance framework ensures the ethical, responsible and transparent use of AI and machine learning (ML).

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How to Get Executive Support for Your Next Information Governance Initiative

AIIM

Back in 2017, I called up a few of the information governance friends I’d made through the AIIM Community to better understand the challenges they were up against. Four years later, we're finally seeing this shift in governance mindsets in nearly every AIIM member organization we speak with. Hurdles to Information Governance Success.