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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. Use of LVMs and LGMs remains in its infancy, but early adopters, such as MakeShift’s McGuiness, are seeing payoffs.

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What is a data scientist? A key data analytics role and a lucrative career

CIO Business Intelligence

The data that data scientists analyze draws from many sources, including structured, unstructured, or semi-structured data. The more high-quality data available to data scientists, the more parameters they can include in a given model, and the more data they will have on hand for training their models.

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You Don’t Have to Wait for AI, But You Should Plan Carefully!

Smarten

Create a Sandbox Environment If you are in the business of technology, you probably have a robust sandbox environment in which you can use new tools and leverage opportunities with test data to understand the value of tools like Azure OpenAI, GPT 3.x Creating Summary Data for Unstructured Documents (PDFs, HTML, Websites, etc.)

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Glossary of Digital Terminology for Career Relevance

Rocket-Powered Data Science

Autonomous Vehicles: Self-driving (guided without a human), informed by data streaming from many sensors (cameras, radar, LIDAR), and makes decisions and actions based on computer vision algorithms (ML and AI models for people, things, traffic signs,…). NLG is a software process that transforms structured data into human-language content.

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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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Shutterstock capitalizes on the cloud’s cutting edge

CIO Business Intelligence

We use Snowflake very heavily as our primary data querying engine to cross all of our distributed boundaries because we pull in from structured and non-structured data stores and flat objects that have no structure,” Frazer says. “We think we found a good balance there.