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Risk Management for AI Chatbots

O'Reilly on Data

Welcome to your company’s new AI risk management nightmare. Before you give up on your dreams of releasing an AI chatbot, remember: no risk, no reward. The core idea of risk management is that you don’t win by saying “no” to everything. So, what do you do? What Can You Do?

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Modular architecture drives productivity and risk management at Gilbane

CIO Business Intelligence

“Our analytics capabilities identify potentially unsafe conditions so we can manage projects more safely and mitigate risks.” We’re piloting a way to do automated payments to subcontractors based on work in place that’s been identified with photo and video documentation,” Higgins-Carter says. Hire the right architects.

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What’s Missing in Most CISO’s Security Risk Management Strategies

CIO Business Intelligence

At the foundation of cybersecurity is the need to understand your risks and how to minimize them. Individuals and organizations often think about risk in terms of what they’re trying to protect. When talking about risk in the IT world, we mainly talk about data, with terms like data privacy, data leakage and data loss.

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Taking a Multi-Tiered Approach to Model Risk Management and Risk

DataRobot Blog

What’s your AI risk mitigation plan? Just as you wouldn’t set off on a journey without checking the roads, knowing your route, and preparing for possible delays or mishaps, you need a model risk management plan in place for your machine learning projects. Document Design and Deployment For Regulations and Clarity.

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CIOs must reassess cloud concentration risk post-CrowdStrike

CIO Business Intelligence

It also highlights the downsides of concentration risk. What is concentration risk? Looking to the future, IT leaders must bring stronger focus on “concentration risk”and how these supply chain risks can be better managed. Unfortunately, the complexity of multiple vendors can lead to incidents and new risks.

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How MemorialCare confronts evolving risks along its modernization journey

CIO Business Intelligence

For Kevin Torres, trying to modernize patient care while balancing considerable cybersecurity risks at MemorialCare, the integrated nonprofit health system based in Southern California, is a major challenge. They also had to retrofit some older solutions to ensure they didn’t expose the business to greater risks.

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What Is Model Risk Management and How is it Supported by Enterprise MLOps?

Domino Data Lab

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. Systematically enabling model development and production deployment at scale entails use of an Enterprise MLOps platform, which addresses the full lifecycle including Model Risk Management.