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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.

Big Data 275
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The case for predictive AI

CIO Business Intelligence

It leverages techniques to learn patterns and distributions from existing data and generate new samples. GenAI models can generate realistic images, compose music, write text, and even design virtual worlds. The critical characteristic of GenAI is its ability to explicitly create something that does not exist in the training data.

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Rising Tide Rents and Robber Baron Rents

O'Reilly on Data

Perhaps a more direct way to say this in the context of economic value creation is that companies such as Amazon and Google and Facebook had developed a set of remarkable advances in networked and data-enabled market coordination. But over time, something went very wrong. These companies did continue to innovate.

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Minimizing Supply Chain Disruptions with Advanced Analytics

Cloudera

Advanced analytics and enterprise data empower companies to not only have a completely transparent view of movement of materials and products within their line of sight, but also leverage data from their suppliers to have a holistic view 2-3 tiers deep in the supply chain. Keep data lineage secure and governed.

Analytics 111
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How to use DSPM to reduce cloud storage costs: a guide on how to identify and delete redundant, obsolete, or trivial data in cloud environments using DSPM tools

Laminar Security

The cost of cloud storage: breaking down the numbers Cloud storage operates on a pay-as-you-use model, which appears cost-effective at first glance. However, when businesses fail to monitor and manage their data effectively, costs can escalate quickly. Data Access Governance (DAG) is pivotal for storage optimization.

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Data Intelligence in the Next Normal; Why, Who and When?

erwin

These surveys helped IDC develop a model that describes the five stages of enterprise recovery , aligning business focus with the economic situation: When the COVID-19 crisis hit, organizations focused on business continuity. As the economy slowed, they focused on cost optimization.