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Cloud migration best practices: Optimizing your cloud migration strategy 

IBM Big Data Hub

Businesses are increasingly embracing cloud infrastructure due to its scalability, flexibility and cost-effectiveness, among other benefits. Recent statistics indicate a significant rise in companies adopting cloud services to meet their operational and cost saving needs.

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Amazon OpenSearch Service Under the Hood : OpenSearch Optimized Instances(OR1)

AWS Big Data

Amazon OpenSearch Service recently introduced the OpenSearch Optimized Instance family (OR1), which delivers up to 30% price-performance improvement over existing memory optimized instances in internal benchmarks, and uses Amazon Simple Storage Service (Amazon S3) to provide 11 9s of durability.

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Data-Driven Companies Leverage OCR for Optimal Data Quality

Smart Data Collective

There are a number of benefits of using it to your company’s advantage. A growing number of companies have leveraged big data to cut costs, improve customer engagement, have better compliance rates and earn solid brand reputations. The benefits of big data cannot be overstated. Using OCR: the benefits for your business.

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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?

Big Data 275
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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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AI makes edge computing more relevant to CIOs

CIO Business Intelligence

As gen AI becomes embedded into more devices, endowing it with autonomous decision-making will depend on real-time data and avoiding excessive cloud costs. By processing data closer to the source, edge computing can enable quicker decisions and reduce costs by minimizing data transfers, making it an alluring environment for AI.

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Reduce your compute costs for stream processing applications with Kinesis Client Library 3.0

AWS Big Data

As applications process more and more data over time, customers are looking to reduce the compute costs for their stream processing applications. which enables you to reduce your stream processing cost by up to 33% compared to previous KCL versions. Additionally, we cover additional benefits that KCL 3.0 We then show how KCL 3.0