Remove Metrics Remove Risk Management Remove Software
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5 tips for better business value from gen AI

CIO Business Intelligence

Specify metrics that align with key business objectives Every department has operating metrics that are key to increasing revenue, improving customer satisfaction, and delivering other strategic objectives. Below are five examples of where to start. Gen AI holds the potential to facilitate that.

Sales 143
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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. Furthermore, the software supply chain is also under increasing threat.

Risk 105
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Managing risk in machine learning

O'Reilly on Data

There are also many important considerations that go beyond optimizing a statistical or quantitative metric. The main bottleneck here is speed: many researchers are actively investigating hardware and software tools that can speed up model inference (and perhaps even model building) on encrypted data. Culture and organization.

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

CIO Business Intelligence

Developers, data architects and data engineers can initiate change at the grassroots level from integrating sustainability metrics into data models to ensuring ESG data integrity and fostering collaboration with sustainability teams. However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive.

IT 59
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How Big Data Impacts The Finance And Banking Industries

Smart Data Collective

Some prominent banking institutions have gone the extra mile and introduced software to analyze every document while recording any crucial information that these documents may carry. Here are a few of the advantages of Big Data in the banking and financial industry: Improvement in risk management operations.

Big Data 145
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How a “PRACtical” Approach to Risk Management Will Aid COVID-19 Recovery Efforts

John Wheeler

As the recovery efforts fully take hold in 2021, a deep understanding of the integrated nature of risks associated with business operations will take center stage. Those businesses that employ a “PRACtical” approach utilizing integrated risk management (IRM) will be in the best position to recover quicker and more successfully.