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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. This article reveals all!

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Infor’s Amazon OpenSearch Service Modernization: 94% faster searches and 50% lower costs

AWS Big Data

By modernizing their use of OpenSearch Service, Infor has been able to deliver a 94% improvement in search performance for customers, along with a 50% reduction in storage costs. The Enrich process would build searchable messages by aggregating related events, requiring constant document updates to the OpenSearch indices.

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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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An AI Data Platform for All Seasons

Rocket-Powered Data Science

Optimizing GenAI Apps with RAG—Pure Storage + NVIDIA for the Win! document, image, video, audio clip) is reduced (transformed) to a condensed vector representation using deep neural networks. One of the most popular techniques associated with generative AI (GenAI) this past year has been retrieval-augmented generation (RAG).

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Optimize storage costs in Amazon OpenSearch Service using Zstandard compression

AWS Big Data

Each index shard may occupy different sizes based on its number of documents. In addition to the number of documents, one of the important factors that determine the size of the index shard is the compression strategy used for an index. As part of an indexing operation, the ingested documents are stored as immutable segments.

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Top 8 failings in delivering value with generative AI and how to overcome them

CIO Business Intelligence

High costs Failing: The infrastructure and computational costs for training and running GenAI models are significant. Solution: Optimize models for efficiency, leveraging cloud-based solutions. Key takeaway: Cost management strategies are crucial for sustainable AI deployment.

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Make extraction pay: How can organizations maximize the value of their data and deliver ROI?

CIO Business Intelligence

Recent research by Vanson Bourne for Iron Mountain found that 93% of organizations are already using genAI in some capacity, while Gartner research suggests that genAI early adopters are experiencing benefits including increases in revenue (15.8%), cost savings (15.2%) and productivity improvements (22.6%), on average.

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