Remove Data Processing Remove Measurement Remove Risk Management
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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. Data sensitivity also tends to be a helpful measure for the materiality of any incident. How Material Is the Threat?

Risk 364
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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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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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CDOs: Your AI is smart, but your ESG is dumb. Here’s how to fix it

CIO Business Intelligence

Most data management conferences and forums focus on AI, governance and security, with little emphasis on ESG-related data strategies. If sustainability-related data projects fail to demonstrate a clear financial impact, they risk being deprioritized in favor of more immediate business concerns.

IT 59
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Your Effective Roadmap To Implement A Successful Business Intelligence Strategy

datapine

This includes defining the main stakeholders, assessing the situation, defining the goals, and finding the KPIs that will measure your efforts to achieve these goals. Improved risk management: Another great benefit from implementing a strategy for BI is risk management. Ensure data literacy.

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How to Gain Greater Confidence in your Climate Risk Models

Cloudera

Firms face critical questions related to these disclosures and how climate risk will affect their institutions. What are the key climate risk measurements and impacts? When it comes to measuring climate risk, generating scenarios will be a critical tactic for financial institutions and asset managers.

Risk 80
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The Value of Data Governance and How to Quantify It

erwin

erwin recently hosted the second in its six-part webinar series on the practice of data governance and how to proactively deal with its complexities. Usually we talk about benefits which are rather qualitative measures, but what we need for decision-making processes are values,” Pörschmann says. “We