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AI Regulations for Financial Services: SEC

Perficient Digital Transformation

Artificial intelligence (AI) is poised to affect every aspect of the world economy and play a significant role in the global financial system, leading financial regulators around the world to take various steps to address the impact of AI on their areas of responsibility.

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Contracts Hold the Key to Proactive Risk Management

SirionLabs

But are organizations truly well positioned to preempt and mitigate potential contracts risks before they negatively impact the bottom line? The Disconnect Between Contracting and Risk Management Surprisingly, knowledge of contract risk is limited among enterprises. We’d love to hear from you!

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Contracts Hold the Key to Proactive Risk Management

SirionLabs

But are organizations truly well positioned to preempt and mitigate potential contracts risks before they negatively impact the bottom line? The Disconnect Between Contracting and Risk Management. Surprisingly, knowledge of contract risk is limited among enterprises. Rooting Risk Management in Smarter Contract Management.

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Preparing for the EU AI Act: Getting governance right

IBM Services

Similar to GDPR for privacy, the EU AI Act has potential to set the tone for upcoming AI regulations worldwide. The EU AI Act aims to meet the challenge to develop and deploy AI responsibly across industries including those that are highly regulated such as healthcare, finance and energy. million euros or 1.5%

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You can make a difference and shape the future of Risk Management!

Risk Guide

Volumes have been written on the cause of the crisis the world is in, surveys have been done and many fingers are pointing in every direction—a couple of these are pointing straight at us, the Risk Professionals. It is time to renovate risk management. The basic Risk Management process cycle is one of those.

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AI Regulations for Financial Services: CFTC and FDIC

Perficient Digital Transformation

Artificial intelligence (AI) is poised to affect every aspect of the world economy and play a significant role in the global financial system, leading financial regulators around the world to take various steps to address the impact of AI on their areas of responsibility.

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Generative AI use cases for the enterprise

IBM Services

For example, organizations can use generative AI to: Quickly turn mountains of unstructured text into specific and usable document summaries, paving the way for more informed decision-making. Generative AI proves highly useful in rapidly creating various types of documentation required by coders. Automate tedious, repetitive tasks.