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Navigating the cloud maze: A 5-phase approach to optimizing cloud strategies

CIO Business Intelligence

In todays fast-paced digital landscape, the cloud has emerged as a cornerstone of modern business infrastructure, offering unparalleled scalability, agility, and cost-efficiency. This serves as a baseline to drive cloud adoption and getting started with a shifting mindset on how to make money with cloud and not just cost savings alone.

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Cost, security, and flexibility: the business case for open source gen AI

CIO Business Intelligence

Travel and expense management company Emburse saw multiple opportunities where it could benefit from gen AI. Both types of gen AI have their benefits, says Ken Ringdahl, the companys CTO. Another benefit is that with open source, Emburse can do additional model training. You get more control over your costs.

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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

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Build a high-performance quant research platform with Apache Iceberg

AWS Big Data

Our experiments are based on real-world historical full order book data, provided by our partner CryptoStruct , and compare the trade-offs between these choices, focusing on performance, cost, and quant developer productivity. You can refer to this metadata layer to create a mental model of how Icebergs time travel capability works.

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Agentic AI design: An architectural case study

CIO Business Intelligence

The analyst firm Forrester named AI agents as one of its top 10 emerging technologies this year and that it will deliver benefits in the next two to five years. It’s important to break it down this way so you can see beyond the hype and understand what is specifically being referred to. Why has agentic AI become the latest rage?

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Amazon EMR 7.5 runtime for Apache Spark and Iceberg can run Spark workloads 3.6 times faster than Spark 3.5.3 and Iceberg 1.6.1

AWS Big Data

Amazon EMR on EC2 , Amazon EMR Serverless , Amazon EMR on Amazon EKS , Amazon EMR on AWS Outposts and AWS Glue all use the optimized runtimes. In this post, we demonstrate the performance benefits of using the Amazon EMR 7.5 Additionally, the cost efficiency improves by 2.9 times, with the total cost decreasing from $16.00

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An AI Data Platform for All Seasons

Rocket-Powered Data Science

Pure Storage empowers enterprise AI with advanced data storage technologies and validated reference architectures for emerging generative AI use cases. See additional references and resources at the end of this article. Optimizing GenAI Apps with RAG—Pure Storage + NVIDIA for the Win! Summary AI devours data.