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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. Data Platforms. Real modeling begins once in production. Culture and organization.

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Top 15 Warehouse KPIs & Metrics For Efficient Management 

datapine

This is no different in the logistics industry, where warehouse managers track a range of KPIs that help them efficiently manage inventory, transportation, employee safety, and order fulfillment, among others. It allows for informed decision-making and efficient risk mitigation. Let’s dive in with the definition.

Metrics 217
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Is it worth measuring software developer productivity? CIOs weigh in

CIO Business Intelligence

This has spurred interest around understanding and measuring developer productivity, says Keith Mann, senior director, analyst, at Gartner. Streamlining to optimize productivity Agile software development is essential to innovate and retain competitiveness. Instead, it might be this emphasis on streamlining processes that matters most.

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What is GRC? The rising importance of governance, risk, and compliance

CIO Business Intelligence

The need to manage risk, adhere to regulations, and establish processes to govern those tasks has been part of running an organization as long as there have been businesses to run. Furthermore, the State of Risk & Compliance Report, from GRC software maker NAVEX, found that 20% described their programs as early stage.

Risk 115
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Getinge’s digital transformation shows scaling and adapting in equal measure

CIO Business Intelligence

More recently, products have become increasingly digital, with software that manages patient flows, tools for surgery planning, and sterile management processes that optimize inventory and ensure that surgical instruments are delivered at the right time to the right place.

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How to use foundation models and trusted governance to manage AI workflow risk

IBM Big Data Hub

As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities.

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