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How IT leaders use agentic AI for business workflows

CIO Business Intelligence

Though loosely applied, agentic AI generally refers to granting AI agents more autonomy to optimize tasks and chain together increasingly complex actions. Agentic AI can make sales more effective by handling lead scoring, assisting with customer segmentation, and optimizing targeted outreach, he says.

IT 139
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MLOps and DevOps: Why Data Makes It Different

O'Reilly on Data

With these five layers, we can present a highly productive, data-centric software interface that enables iterative development of large-scale data-intensive applications. However, none of these layers help with modeling and optimization. Model Operations.

IT 364
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Business AI will change the way businesses are run

CIO Business Intelligence

By identifying, connecting, understanding, and processing relevant information, GenAI tools trained on contextual data can produce the intelligent and reliable recommendations that decision makers and managers need in mere seconds. AI-optimized business processes can also help companies continuously optimize and improve efficiency.

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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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Achieving Trusted AI in Manufacturing

Cloudera

As we navigate the fourth and fifth industrial revolution, AI technologies are catalyzing a paradigm shift in how products are designed, produced, and optimized. But with this data — along with some context about the business and process — manufacturers can leverage AI as a key building block to develop and enhance operations.

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Operationalize automation for faster, more efficient incident resolution at a lower cost

IBM Big Data Hub

Together, IBM Instana and IBM Turbonomic provide real-time observability and control that everyone and anyone can use, with hybrid cloud resource and cost optimization so you can safely automate to unlock elasticity without compromising performance. Contextual data: Context is king, but it’s rarely achieved given our current IT systems.

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4 ways generative AI addresses manufacturing challenges

IBM Big Data Hub

The industry must continually optimize process, improve efficiency, and improve overall equipment effectiveness. Contextual data understanding Data systems often cause major problems in manufacturing firms. The manufacturing industry is in an unenviable position. They are often disparate, siloed, and multi-modal.