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Maximizing business outcomes and scaling AI adoption with a Hybrid by design approach 

IBM Big Data Hub

Adopting a hybrid by design strategy allows organizations to align architectural choices with business priorities across technology, platforms, processes and people, resulting in significantly enhanced outcomes and a higher ROI. At IBM, we provide clear guidance for navigating these challenges and achieving better business outcomes.

Cloud 68
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Overcome these six data consumption challenges for a more data-driven enterprise

IBM Big Data Hub

Implementing the right data strategy spurs innovation and outstanding business outcomes by recognizing data as a critical asset that provides insights for better and more informed decision-making. Whether data protection regulations like GDPR, CCPA, HIPAA, etc. Proper levels of data protection and data security.

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How to modernize data lakes with a data lakehouse architecture

IBM Big Data Hub

This was, without a question, a significant departure from traditional analytic environments, which often meant vendor-lock in and the inability to work with data at scale. Another unexpected challenge was the introduction of Spark as a processing framework for big data. Comprehensive data security and data governance (i.e.

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How Content Services Are Enabling the Digital Transformation of Electric Utilities

AIIM

As with other sectors, a rising tide of information chaos threatens the promise of big data and the opportunity to innovate. To accomplish both, they must transform into data-driven ecosystems that are 3D – Digitized, Decarbonized, and Decentralized. Intelligent Search.