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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. When DORA becomes effective on January 17, 2025, non-compliance with DORA will trigger severe administrative and criminal penalties.

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Cloud analytics migration: how to exceed expectations

CIO Business Intelligence

Mitigating infrastructure challenges Organizations that rely on legacy systems face a host of potential stumbling blocks when they attempt to integrate their on-premises infrastructure with cloud solutions. Their collaboration enables real-time delivery of insights for risk management, fraud detection, and customer personalization.

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What to Do When AI Fails

O'Reilly on Data

Materiality is a widely used concept in the world of model risk management , a regulatory field that governs how financial institutions document, test, and monitor the models they deploy. NIST’s Computer Security Incident Handling Guide which, while not tailored to the risks of AI specifically, provides one good starting point.

Risk 364
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5 IT risks CIOs should be paranoid about

CIO Business Intelligence

Security and data governance is a growing challenge, and 61% of companies reported a third-party data breach or security incident, a 49% increase over the last year, according to The 2024 Third-Party Risk Management Study. “Be Create or adapt an alerting system when unexpected spending occurs.

Risk 142
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CrowdStrike incident has CIOs rethinking their cloud strategies

CIO Business Intelligence

The company’s internal communication was significantly disrupted as its entire network, including Outlook, Teams, and SharePoint, is hosted on Microsoft 365. However, our in-house developed application remained unaffected due to GoDaddy’s use of its own hosting infrastructure,” said Borade. “We Microsoft said around 8.5

Strategy 143
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Why you should care about debugging machine learning models

O'Reilly on Data

In addition to newer innovations, the practice borrows from model risk management, traditional model diagnostics, and software testing. While our analysis of each method may appear technical, we believe that understanding the tools available, and how to use them, is critical for all risk management teams.

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5 top business use cases for AI agents

CIO Business Intelligence

The data is kept in a private cloud for security, and the LLM is internally hosted as well. And EY uses AI agents in its third-party risk management service. Our risk assessors do that work, spending up to 50 hours on one vendor, poring over contracts and other documents to produce a report that calls out risks we observe.

Software 143