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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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UK Government tests frictionless trade models with Ecosystem of Trust pilots

IBM Big Data Hub

The UK government’s Ecosystem of Trust is a potential future border model for frictionless trade, which the UK government committed to pilot testing from October 2022 to March 2023. The models also reduce private sector customs data collection costs by 40%.

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Optimizing PCI compliance in financial institutions

CIO Business Intelligence

How can implementing a CCA benefit financial institutions and their various business units in their quest for PCI security compliance? That, in turn, reduces IT cost, the time it takes staff to learn the environment, and the time to market. One of the significant advantages of a CCA is the potential for cost reduction.

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Optimizing Cost with DevOps on the Cloud

Smart Data Collective

Are you looking for a way to reduce the cost of your development efforts? The cost savings associated with DevOps on the cloud are significant. By leveraging existing cloud-based services, businesses can save time and money by avoiding costly IT overhead costs like maintenance, licensing fees, and server infrastructure setup.

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Companies Test Possibilities and Limits of AI in Research and Product Development

Smart Data Collective

Generative design is a new approach to product development that uses artificial intelligence to generate and test many possible designs. The technique is helping product design firm Seattle reduce costs and improve the quality of its products. Assembly Line Optimization. Automated Testing of Features. Quality Assurance.

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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. with Spark 3.3.2,

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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.