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Cost, security, and flexibility: the business case for open source gen AI

CIO Business Intelligence

To solve the problem, the company turned to gen AI and decided to use both commercial and open source models. Both types of gen AI have their benefits, says Ken Ringdahl, the companys CTO. So we augment with open source, he says. Right now, the company is using the French-built Mistral open source model.

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5 top business use cases for AI agents

CIO Business Intelligence

Weve developed our own agentic AI for code management, says Charles Clancy, CTO at Mitre. For example, he says, 10-year-old source code might no longer compile properly on a modern computer. Take Avantia, for example, a global law firm, which uses both commercial and open source gen AI to power its agents.

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What is data architecture? A framework to manage data

CIO Business Intelligence

Consulting firm McKinsey Digital notes that many organizations fall short of their digital and AI transformation goals due to process complexity rather than technical complexity. Data architecture components A modern data architecture consists of the following components, according to IT consulting firm BMC : Data pipelines.

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12 AI predictions for 2025

CIO Business Intelligence

Weve also seen the emergence of agentic AI, multi-modal AI, reasoning AI, and open-source AI projects that rival those of the biggest commercial vendors. But the entire process will need to be reinvented in order to make full use of the technology, says Monteiro. Take for example that task of keeping up with regulations.

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CDH Users: If you have done impactful things with data please share how what and why

CTOvision

Merv Adrian is a Research Vice President following RDBMS, NoSQL, Hadoop and other big data technologies as digital business transforms assumptions about how to activate and leverage unused information assets. During hos two decades as an analyst, Mr. Adrian headed IT Market Strategy, an independent market research consultancy.

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Thinking of building your own AI agents? Don’t do it, advisors say

CIO Business Intelligence

Companies that fail to build their own AI agents will turn to outside AI consulting firms to build custom agents for them, or they will use agents embedded in software from their current vendors, write Forrester analysts Jayesh Chaurasia and Sudha Maheshwari. Kumar adds. Start with one [AI model], and you can start tailoring its behavior.

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Which Government, Non-Profit and NGO Have Big Data/CDH Lessons Learned To Share?

CTOvision

Merv Adrian is a Research Vice President following RDBMS, NoSQL, Hadoop and other big data technologies as digital business transforms assumptions about how to activate and leverage unused information assets. During hos two decades as an analyst, Mr. Adrian headed IT Market Strategy, an independent market research consultancy.

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