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MRO spare parts optimization

IBM Big Data Hub

A recent report shows a significant increase in the cost of manufacturing downtime from 2021 to 2022, with Fortune Global 500 companies now losing 11% of their yearly turnover which amounts to nearly USD 1.5 Many asset-intensive businesses are prioritizing inventory optimization due to the pressures of complying with growing industry 4.0

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Measuring the impact: Unveiling the savings realized in cloud cost optimization 

IBM Big Data Hub

Similarly, comprehending the savings realized in a cloud-cost-optimization journey offers valuable insights into the impact of your efforts. It’s like having a financial guide by your side, showing you the tangible benefits of your optimization strategies and motivating you to keep pushing forward.

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Supply Chain Optimization: Business scenarios and architecture

IBM Big Data Hub

Chief Supply Chain Officers (CSCO) and other executives seek to optimize their supply chain by infusing AI, modernizing their technology and addressing sustainability goals. In addition, there can be financial benefits, such as a solution cost savings of 10%, reduced holding costs and improved gross margin return on investment.

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Optimizing the Value of AI Solutions for the Public Sector

Cloudera

There, I met with IT leaders across multiple lines of business and agencies in the US Federal government focused on optimizing the value of AI in the public sector. AI can optimize citizen-centric service delivery by predicting demand and customizing service delivery, resulting in reduced costs and improved outcomes.

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Why optimize your warehouse with a data lakehouse strategy

IBM Big Data Hub

In a prior blog , we pointed out that warehouses, known for high-performance data processing for business intelligence, can quickly become expensive for new data and evolving workloads. Now, let’s chat about why data warehouse optimization is a key value of a data lakehouse strategy.

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Apache Iceberg optimization: Solving the small files problem in Amazon EMR

AWS Big Data

Compaction is the process of combining these small data and metadata files to improve performance and reduce cost. Systems of this nature generate a huge number of small objects and need attention to compact them to a more optimal size for faster reading, such as 128 MB, 256 MB, or 512 MB. impl":"org.apache.iceberg.aws.s3.S3FileIO",

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

datapine

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. These applications are designed to benefit logistics and shipping companies alike. Did you know?

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