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23 key gen AI terms and what they really mean

CIO Business Intelligence

Another way to reduce hallucinations is to run the same prompt multiple times and compare the responses, says David Guarrera, gen AI lead at EY Americas, though this can increase inference costs. Some ways to reduce inference costs include open-source models, small language models, and edge AI.

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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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Enabling Integration and Interoperability Across the Grid with Knowledge Graphs

Ontotext

This creates a challenge, as two sets of data can identify the same resource differently, so aggregated data will not show accumulated figures relevant to that resource that might reveal useful patterns. The use of EICs in these identifiers is a step toward a knowledge graph approach and the benefits that it can bring.

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Identity and Access Management: The Pursuit of Invisible Value

CIO Business Intelligence

A strong IAM program addresses disparate identity issues by developing a consolidated profile for each person across a unified user experience when they interact with the organization. . 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. .

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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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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.