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6 ways generative AI can optimize asset management

IBM Big Data Hub

Every asset manager, regardless of the organization’s size, faces similar mandates: streamline maintenance planning, enhance asset or equipment reliability and optimize workflows to improve quality and productivity. These foundation models, built on large language models, are trained on vast amounts of unstructured and external data.

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Overcome the Challenges of Cloud Optimization & FinOps to Drive Business Value

CIO Business Intelligence

To optimize cloud investments, C-level executives are increasingly adopting cloud financial operations (FinOps). In this article, I’ll explore common cloud optimization and FinOps challenges and strategies for overcoming them. Then they must choose a financial model, whether an even split, fixed, or proportional model.

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What the Future Holds for Decision Optimization

Decision Management Solutions

James, thank you for the opportunity to guest blog in your series on Decision Optimization. As James has discussed, optimizing decisions can be complex, requiring the management of many conflicting trade-offs, but often with huge benefits. Automation – laborious tasks happen automatically, key tasks are guided by technology.

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Using Analytics to Maximize Revenue with a SaaS Business Model

Smart Data Collective

Data analytics technology is becoming a more important aspect of business models in all industries. Data Analytics is an Invaluable Part of SaaS Revenue Optimization. In this article, we will cover what SaaS sales is, the SaaS cycle, choosing strategies and models, and how to measure the success of SaaS sales. SaaS Sales Models.

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A clear path to value: Overcome challenges on your FinOps journey 

IBM Big Data Hub

However, the rise of hybrid and multi-cloud patterns has led to challenges in optimizing value and controlling cloud expenditure, resulting in a shift from capital to operational expenses. Monitoring key performance indicators (KPIs) is essential to track progress effectively.

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Defining clear metrics to drive model adoption and value creation

Domino Data Lab

It’s often stated that nothing changes inside an enterprise because you’ve built a model. In some cases, data science does generate models directly to revenue, such as a contextual deal engine that targets people with offers that they can instantly redeem. But what about good decisions?

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The steep cost of a poor data management strategy

CIO Business Intelligence

Leveraging that data, in AI models, for example, depends entirely on the accessibility, quality, granularity, and latency of your organization’s data. To derive data management’s ROI, your organization can use your relevant key performance indicators (KPIs). Without it, organizations incur a significant opportunity cost.

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