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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

To see this, look no further than Pure Storage , whose core mission is to “ empower innovators by simplifying how people consume and interact with data.” Optimizing GenAI Apps with RAG—Pure Storage + NVIDIA for the Win! I believe that the time, place, and season for artificial intelligence (AI) data platforms have arrived.

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When models are everywhere

O'Reilly on Data

Not all models are created equal, however: they operate on different principles, and impact us as individuals and communities in different ways. To understand the menagerie of models that are fundamentally altering our individual and shared realities, we need to build a typology, a classification of their effects and impacts.

Modeling 195
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Optimize the University Experience with AI

DataRobot

These same benefits could also help universities better serve their students and protect their bottom line. A university can use AI to better manage student applications with a machine learning model that can predict whether a prospective student will apply. Alumni who will donate to the university.

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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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Inferencing holds the clues to AI puzzles

CIO Business Intelligence

Inferencing has emerged as among the most exciting aspects of generative AI large language models (LLMs). Crunching mathematical calculations, the model then makes predictions based on what it has learned during training. Inferencing funneled through RAG must be efficient, scalable, and optimized to make GenAI applications useful.

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Generative AI will profoundly change healthcare operations

CIO Business Intelligence

According to a recent analysis by EXL, a leading data analytics and digital solutions company, healthcare organizations that embrace generative AI will dramatically lower administration costs, significantly reduce provider abrasion, and improve member satisfaction. The timing could not be better.