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NJ Transit creates ‘data engine’ to fuel transformation

CIO

The chief information and digital officer for the transportation agency moved the stack in his data centers to a best-of-breed multicloud platform approach and has been on a mission to squeeze as much data out of that platform as possible to create the best possible business outcomes. Data engine on wheels’.

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Healthcare organizations must create a strong data foundation to fully benefit from generative AI

CIO

While the average person might be awed by how AI can create new images or re-imagine voices, healthcare is focused on how large language models can be used in their organizations. However, the effort to build, train, and evaluate this modeling is only a small fraction of what is needed to reap the vast benefits of generative AI technology.

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Data engineers vs. data scientists

O'Reilly Media - Data

It’s important to understand the differences between a data engineer and a data scientist. Misunderstanding or not knowing these differences are making teams fail or underperform with big data. I think some of these misconceptions come from the diagrams that are used to describe data scientists and data engineers.

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Inferencing holds the clues to AI puzzles

CIO

A quick explainer: In AI inferencing , organizations take a LLM that is pretrained to recognize relationships in large datasets and generate new content based on input, such as text or images. Crunching mathematical calculations, the model then makes predictions based on what it has learned during training.

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Data & Analytics Maturity Model Workshop Series

Speaker: Dave Mariani, Co-founder & Chief Technology Officer, AtScale; Bob Kelly, Director of Education and Enablement, AtScale

Check out this new instructor-led training workshop series to help advance your organization's data & analytics maturity. Given how data changes fast, there’s a clear need for a measuring stick for data and analytics maturity. Workshop video modules include: Breaking down data silos.

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Data Scientist vs Data Engineer: Differences and Why You Need Both

Altexsoft

We will try to answer your questions and explain how two critical data jobs are different and where they overlap. Data science vs data engineering. Data flows in every organization in huge amounts. This whole process of making sense of data is known under the broad term of data science.

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What is a data architect? Skills, salaries, and how to become a data framework master

CIO

Data architecture is a complex and varied field and different organizations and industries have unique needs when it comes to their data architects. Big data architect: The big data architect designs and implements data architectures supporting the storage, processing, and analysis of large volumes of data.

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