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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. Having the right data strategy and data architecture is especially important for an organization that plans to use automation and AI for its data analytics.

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AI recommendations for descriptions in Amazon DataZone for enhanced business data cataloging and discovery is now generally available

AWS Big Data

Without the right metadata and documentation, data consumers overlook valuable datasets relevant to their use case or spend more time going back and forth with data producers to understand the data and its relevance for their use case—or worse, misuse the data for a purpose it was not intended for.

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How a cloud-based data ecosystem is helping 3M HIS transform the healthcare business

CIO Business Intelligence

The cloud-based version of the platform has helped 3M HIS and its clients address three primary challenges: a disjointed patient care journey; the byzantine processes that often inhibit timely and accurate billing, reimbursement, and other record-keeping; and the ongoing need to protect and properly use patient data.

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Assembly required: 8 myths about knowledge management debunked

CIO Business Intelligence

Nevertheless, the ongoing challenge of adapting to the strategies of terrorists and rogue states persists, especially as the volume of data flooding military intelligence capabilities has surged. He tested this hypothesis by having some machines at the facility warm up and others not.