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IT leaders look beyond LLMs for gen AI needs

CIO Business Intelligence

Along with code-generating copilots and text-to-image generators, which leverage a combination of LLMs and diffusion processing, LLMs are at the core of most generative AI experimentation in business today. Predictive scheduling to address constantly changing data sets and procedures is made far easier using LGM-based AI,” McGuinness says.

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Success Stories: Applications and Benefits of Knowledge Graphs in Financial Services

Ontotext

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. There are four groups of data that are naturally siloed: Structured data (e.g.,

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How to Take Back 40-60% of Your IT Spend by Fixing Your Data

Ontotext

Unlocking additional value from data requires context, relationships, and structure, none of which are present in the way most organizations store their data today. Solution to the Data Dilemma The good news is that the solution to this data dilemma is actually quite simple.

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Shutterstock capitalizes on the cloud’s cutting edge

CIO Business Intelligence

When you store and deliver data at Shutterstock’s scale, the flexibility and elasticity of the cloud is a huge win, freeing you from the burden of costly, high-maintenance data centers. Then coupling with AWS’ strong authentication mechanisms, we can say with certainty that we have security and restrictions around who can access data.”

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Interview with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity

Corinium

Most enterprises in the 21st century regard data as an incredibly valuable asset – Insurance is no exception - to know your customers better, know your market better, operate more efficiently and other business benefits. It definitely depends on the type of data, no one method is always better than the other. That’s the reward.

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