Remove Contextual Data Remove Data Lake Remove Enterprise Remove Optimization
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4 ways generative AI addresses manufacturing challenges

IBM Big Data Hub

The industry must continually optimize process, improve efficiency, and improve overall equipment effectiveness. Or we create a data lake, which quickly degenerates to a data swamp. Contextual data understanding Data systems often cause major problems in manufacturing firms.

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Five benefits of a data catalog

IBM Big Data Hub

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

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MLOps and DevOps: Why Data Makes It Different

O'Reilly on Data

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. However, none of these layers help with modeling and optimization.

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Identity and Access Management: The Pursuit of Invisible Value

CIO Business Intelligence

IAM can enable enterprise transformation projects through automation that enables quicker access. To work towards an optimized IAM state, CIOs should: . A collaborative partnership between the CIO and CDO is crucial for building an IAM strategy that considers the who, when, why and how of data access. . IAM brings value .

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OCBC Bank Accelerates Its Data Strategy with Cloudera 

Cloudera

OCBC Bank optimizes customer experience & risk management with multi-phased data initiative. OCBC also won a Cloudera Data Impact Award 2022 in the Transformation category for the project. Real-time data analysis for better business and customer solutions.