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How IT leaders use agentic AI for business workflows

CIO Business Intelligence

Agentic AI is the new frontier in AI evolution, taking center stage in todays enterprise discussion. Armed with contextual data, agentic AI can surface insights, trends, or anomalies more protectively, helping direct business decisions. Wereinfusing AI agents everywhereto reimagine how we work and drive measurable value.

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Fueling Enterprise Generative AI with Data: The Cornerstone of Differentiation

Cloudera

However, the true power of these models lies in their ability to adapt to an enterprise’s unique context. By leveraging an organization’s proprietary data, GenAI models can produce highly relevant and customized outputs that align with the business’s specific needs and objectives.

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Oracle launches a new sustainability app for Fusion Cloud EPM

CIO Business Intelligence

Oracle has announced the launch of Oracle Fusion Cloud Sustainability — an app that integrates data from Oracle Fusion Cloud ERP and Oracle Fusion Cloud SCM , enabling analysis and reporting within Oracle Fusion Cloud Enterprise Performance Management (EPM) and Oracle Fusion Data Intelligence.

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The Enterprise AI Revolution Starts with BI

Jet Global

Artificial Intelligence is coming for the enterprise. Many of the features frequently attributed to AI in business, such as automation, analytics, and data modeling aren’t actually features of AI at all. The road to AI supremacy in enterprise business starts with investment in an area most businesses might not think to look at first.

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What Is Data Literacy?

erwin

It allows both IT and business users to discover the data available to them and understand what it means in common, standardized terms, and automates common data curation processes, such as name matching, categorization and association, to optimize governance of the data pipeline including preparation processes.

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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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MLOps and DevOps: Why Data Makes It Different

O'Reilly on Data

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. The new category is often called MLOps.

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