Remove 2023 Remove Data Governance Remove Data Quality Remove Data Transformation
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The importance of data ingestion and integration for enterprise AI

IBM Big Data Hub

The entire generative AI pipeline hinges on the data pipelines that empower it, making it imperative to take the correct precautions. 4 key components to ensure reliable data ingestion Data quality and governance: Data quality means ensuring the security of data sources, maintaining holistic data and providing clear metadata.

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Tackling AI’s data challenges with IBM databases on AWS

IBM Big Data Hub

Businesses face significant hurdles when preparing data for artificial intelligence (AI) applications. The existence of data silos and duplication, alongside apprehensions regarding data quality, presents a multifaceted environment for organizations to manage.

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SAP Datasphere Powers Business at the Speed of Data

Rocket-Powered Data Science

The release of SAP Datasphere was launched and announced globally on March 8, 2023. Datasphere is a data discovery tool with essential functionalities: recommendations, data marketplace, and business content (i.e., incorporates the business context of the data and data products that are being recommended and delivered).