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Unlocking the Value of Third-party Risk Management | Blog

Everest Group

Organizations are increasingly relying on third parties for various functions to cut costs and leverage external expertise, which can introduce significant security risks. which ultimately enhances the efficiency of the risk management program. which ultimately enhances the efficiency of the risk management program.

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Decoding the EU AI Act: What it Means for Financial Services Firms | Blog

Everest Group

Crucially, a cross-functional team should be formed to oversee AI risk management, drive compliance efforts, and execute mitigation plans across the organization. By taking these steps, enterprises can future-proof their AI initiatives while upholding the standards set forth by the landmark regulation.

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Preparing for the EU AI Act: Getting governance right

IBM Services

” European Parliament News The EU AI Act in brief The primary focus of the EU AI Act is to strengthen regulatory compliance in the areas of risk management, data protection, quality management systems, transparency, human oversight, accuracy, robustness and cyber security.

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Misguided Fear Of AI And Automation: A Classic Horror Story

Forrester Digital Transformation

Classic horror movie quirks closely resemble what we’re seeing in firms looking to innovate and differentiate yet are running from rather than toward AI and advanced automation.

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A look into IBM’s AI ethics governance framework

IBM Services

Yet while 79% of executives say AI ethics is important to their enterprise-wide AI approach , less than 25% have operationalized ethics governance principles. Looking forward Using the framework described above, IBM advances ethical AI governance through its product offerings. and/or its affiliates in the U.S.

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Why Do Organizations Need Data Governance?

Perficient Digital Transformation

A well-known fact about data is that it is a crucial Asset in an organization when managed appropriately. Data governance helps organizations manage data appropriately.Some customers say data governance is an optional best practice but not a mandatory implementation strategy. Why are You Taking a Risk?

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

IBM Services

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. It can be used with both on-premise and multi-cloud environments.