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Optimizing Risk and Exposure Management – Roundtable Highlights

Cloudera

We recently hosted a roundtable focused on o ptimizing risk and exposure management with data insights. For financial institutions and insurers, risk and exposure management has always been a fundamental tenet of the business. Now, risk management has become exponentially complicated in multiple dimensions. .

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The journey to a mature asset management system

IBM Big Data Hub

This blog series discusses the complex tasks energy utility companies face as they shift to holistic grid asset management to manage through the energy transition. Asset performance management (APM) processes, such as risk-based and predictive maintenance and asset investment planning (AIP), enable health monitoring technologies.

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Managing risk in machine learning

O'Reilly on Data

Model lifecycle management. There are also many important considerations that go beyond optimizing a statistical or quantitative metric. As we deploy ML in many real-world contexts, optimizing statistical or business metics alone will not suffice. Continue reading Managing risk in machine learning. Data Platforms.

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Cyber Risk, Digital Risk and The Digitalization of Risk Management

John Wheeler

However, for security and risk management professionals it can make a huge difference. Take for example the terms cyber risk, digital risk and the digitalization of risk management. Viewed together, the three terms represent key aspects of integrated risk management (IRM).

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The Unexpected Cost of Data Copies

An organization’s data is copied for many reasons, namely ingesting datasets into data warehouses, creating performance-optimized copies, and building BI extracts for analysis. How a next-gen data lake can halt data replication and streamline data management. How replicated data increases costs and impacts the bottom line.

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MRO spare parts optimization

IBM Big Data Hub

Many managers in asset-intensive industries like energy, utilities or process manufacturing, perform a delicate high-wire act when managing inventory. Many asset-intensive businesses are prioritizing inventory optimization due to the pressures of complying with growing industry 4.0 What’s at stake?

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Gen AI without the risks

CIO Business Intelligence

Gen AI will become a fundamental part of how enterprises manage and deliver IT services and how business users get their work done. Developing and deploying successful AI can be an expensive process with a high risk of failure. The possibilities are endless, but so are the pitfalls.

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