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6 ways generative AI can optimize asset management

IBM Big Data Hub

Every asset manager, regardless of the organization’s size, faces similar mandates: streamline maintenance planning, enhance asset or equipment reliability and optimize workflows to improve quality and productivity. These foundation models, built on large language models, are trained on vast amounts of unstructured and external data.

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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. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications. Did you know?

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How Big Data Is Influencing Web Design and What You Can Learn from It

Smart Data Collective

Big data has become the lifeblood of small and large businesses alike, and it is influencing every aspect of digital innovation, including web development. What is Big Data? Big data can be defined as the large volume of structured or unstructured data that requires processing and analytics beyond traditional methods.

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The Fascinating Benefits of Machine Learning for Web Hosting Monetization

Smart Data Collective

Revolutionizing Performance Optimization The core philosophy of web hosting is ensuring that sites remain accessible and perform optimally at all times. With its ability to analyze vast data sets quickly, machine learning provides invaluable insights about traffic patterns, user behavior, and server performance.

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The Failed Promises of Digital Transformation and What to Do About It

Ontotext

These failures are at least partly due to the absence of graph technologies, at the center of those transformations, allowing companies to “connect the dots” across their data to drive optimal outcomes. It’s all about connections and relationships in data. Aggregating data, sorting, and filtering are a cinch.

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The case for predictive AI

CIO Business Intelligence

Predictive AI uses advanced algorithms based on historical data patterns and existing information to forecast outcomes to predict customer preferences and market trends — providing valuable insights for decision-making. It leverages techniques to learn patterns and distributions from existing data and generate new samples.

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Apache Ozone – A Multi-Protocol Aware Storage System

Cloudera

Apache Ozone is compatible with Amazon S3 and Hadoop FileSystem protocols and provides bucket layouts that are optimized for both Object Store and File system semantics. This blog post is intended to provide guidance to Ozone administrators and application developers on the optimal usage of the bucket layouts for different applications.