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The Future of AI in the Enterprise

Jet Global

While the technology behind enabling computers to simulate human thought has been developing, at times slowly, over the past half-century, the cost of implementation, readily available access to cloud computing, and practical business use cases are primed to help AI make a dramatic impact in the enterprise over the next few years.

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The Future of AI in the Enterprise

Jet Global

While the technology behind enabling computers to simulate human thought has been developing, at times slowly, over the past half-century, the cost of implementation, readily available access to cloud computing, and practical business use cases are primed to help AI make a dramatic impact in the enterprise over the next few years.

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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

Additionally, data owners and data stewards can make data discovery simpler by adding business context to data while balancing access governance to the data in the user interface. Data consumers have more contextualized data at their fingertips to inform their analysis.

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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. It allows for movement of workloads into the cloud seamlessly and enables companies to externalize applications that are on-premises. – Protecting data from hackers is the critical task of CDOs. IAM brings value .

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Assembly required: 8 myths about knowledge management debunked

CIO Business Intelligence

Knowledge assembly in action To better understand why organizations fall short when assembling knowledge, we must first understand how knowledge assembly unfolds, starting with some basic concepts: Data are raw, unorganized facts, such as numbers, text, and images, that lack context and meaning on their own.

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Constructing A Digital Transformation Strategy: Putting the Data in Digital Transformation

erwin

Part Two of the Digital Transformation Journey … In our last blog on driving digital transformation , we explored how enterprise architecture (EA) and business process (BP) modeling are pivotal factors in a viable digital transformation strategy. With automation, data quality is systemically assured.