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6 ways generative AI can optimize asset management

IBM Big Data Hub

Using a hybrid AI or machine learning (ML) model, you can train it on enterprise and published data, including newly acquired assets and sites. Generate work instructions Field service technicians, maintenance planners and field performance supervisors comprise your front-line team.

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The Power of Graph Databases, Linked Data, and Graph Algorithms

Rocket-Powered Data Science

In their wisdom, the editors of the book decided that I wrote “too much” So, they correctly shortened my contribution by about half in the final published version of my Foreword for the book. I publish this in its original form in order to capture the essence of my point of view on the power of graph analytics.

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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. Let’s not wait till the robber barons are back.

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Ingest, transform, and deliver events published by Amazon Security Lake to Amazon OpenSearch Service

AWS Big Data

You can use the visualizations after you start importing data. Enable the Lambda function to start processing events into OpenSearch Service The final step is to go into the configuration of the Lambda function and enable the triggers so that the data can be read from the subscriber framework in Security Lake.

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Metadata is Like Packaging: Seeing Beyond the Library Card Metaphor

Ontotext

Take for example publishers. For the sake of better promotion, delivery and reuse, nowadays publishers describe and classify their content formally. Such reference data is often considered a key competitive advantage and an asset for the publisher – e.g, creation date, publication date, author, keywords, etc.),

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

Ontotext

.” (See “Market Guide for Graph Database Management Systems”, Published 30 August 2022, by Merv Adrian and Afraz Jaffri). Graph-based approaches as the “foundation of modern data and analytics,” and a key enabler of many of the current and past data and analytics trends they publish each year.

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A summary of Gartner’s recent DataOps-driven data engineering best practices article

DataKitchen

If he is to take Gartner’s advice to heart, Marcus will have to add a set of tasks to his team’s daily data engineering tasks. Data is obviously essential to data engineering teams. When Gartner advises your team to put “Customer Value First,” what does that mean? Find opportunities to automate and refactor.