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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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Middle East tech leaders explore AI’s role in modern risk management

CIO Business Intelligence

In today’s fast-paced digital environment, enterprises increasingly leverage AI and analytics to strengthen their risk management strategies. While AI offers a powerful means to anticipate and address risks, it also introduces new challenges. We need to have a unified strategy which is required to scale,” he remarked.

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

CIO Business Intelligence

So, what should our security risk management strategies consider? What’s often missing is a comprehensive approach to risk management and a strategy that considers more than just data. Challenges of Security Risk Management. A Better Strategy to Manage Security Risks.

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New regulation intensifies focus on IT risk management and operational resilience

CIO Business Intelligence

A comprehensive regulatory reach DORA addresses a broad range of ICT risks, including incident response, resilience testing, third-party risk management, and information sharing. These systems are crucial to DORA’s mandate, yet many organizations lag in disaster recovery, relying on outdated strategies.

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Successful Change Management with Enterprise Risk Management

Speaker: William Hord, Vice President of ERM Services

A well-defined change management process is critical to minimizing the impact that change has on your organization. Leveraging the data that your ERM program already contains is an effective way to help create and manage the overall change management process within your organization. Organize ERM strategy, operations, and data.

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Managing machine learning in the enterprise: Lessons from banking and health care

O'Reilly on Data

A look at how guidelines from regulated industries can help shape your ML strategy. After the 2008 financial crisis, the Federal Reserve issued a new set of guidelines governing models— SR 11-7 : Guidance on Model Risk Management. Note that the emphasis of SR 11-7 is on risk management.). Sources of model risk.

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How resilient CIOs future-proof to mitigate risks

CIO Business Intelligence

This year saw emerging risks posed by AI , disastrous outages like the CrowdStrike incident , and surmounting software supply chain frailties , as well as the risk of cyberattacks and quantum computing breaking todays most advanced encryption algorithms. Another undeniable factor is the unpredictability of global events.

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Everything You Need to Know About Crypto

Speaker: Ryan McInerny, CAMS, FRM, MSBA - Principal, Product Strategy

With 20% of Americans owning cryptocurrencies, speaking "fluent crypto" in the financial sector ensures you are prepared to discuss growth and risk management strategies when the topic arises.