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MRO spare parts optimization

IBM Big Data Hub

Many asset-intensive businesses are prioritizing inventory optimization due to the pressures of complying with growing industry 4.0 Consider these questions: Do you have a platform that combines statistical analyses, prescriptive analytics and optimization algorithms? Can you conduct what-if scenarios to visualize your options?

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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. Through interactive dialog, it can generate visual analytics and promptly deliver content to your team.

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IBM watsonx AI and data platform, security solutions and consulting services for generative AI to be showcased at AWS re:Invent

IBM Big Data Hub

Apptio Cloudability and IBM Turbonomic Integration: Since IBM’s acquisition of Apptio closed in August, teams have been working on the integration of Apptio Cloudability, a cloud cost-management tool, and Turbonomic, an IT resource management tool for continuous hybrid cloud optimization. and/or its affiliates in the U.S.

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Optimize data layout by bucketing with Amazon Athena and AWS Glue to accelerate downstream queries

AWS Big Data

However, as data volumes continue to grow, optimizing data layout and organization becomes crucial for efficient querying and analysis. AWS Glue allows you to define bucketing parameters, such as the number of buckets and the columns to bucket on, providing an optimized data layout for efficient querying with Athena.

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How IBM helps clients accelerate app modernization and control costs

IBM Big Data Hub

When a client is not able to properly visualize all applications and their underlying dependencies properly, they risk experiencing diminished reliability. The IBM Consulting Cloud Accelerator also provided a detailed discovery of mainframe applications. This allowed them to deliver higher-quality health outcomes to their customers.

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

You can use big data analytics in logistics, for instance, to optimize routing, improve factory processes, and create razor-sharp efficiency across the entire supply chain. Using the right dashboard and data visualizations, it’s possible to hone in on any trends or patterns that uncover inefficiencies within your processes.

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Optimizing clinical trial site performance: A focus on three AI capabilities

IBM Big Data Hub

Therefore, IBM observes that more clients tend to consult AI leaders to help establish governance and enhance AI and data science capabilities, an operating model in the form of co-delivery partnerships. It explores the impact of different scenarios, evaluate trade-offs, and determine the optimal actions to be taken. Clinical Trials.