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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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10 most in-demand enterprise IT skills

CIO

And part of that success comes from investing in talented IT pros who have the skills necessary to work with your organizations preferred technology platforms, from the database to the cloud. Its widespread use in the enterprise makes it a steady entry on any in-demand skill list. As such, Oracle skills are perennially in-demand skill.

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The key to operational AI: Modern data architecture

CIO

Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.

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Are you ready for MLOps? 🫵

Xebia

Read along to learn more! Being ready means understanding why you need that technology and what it is. Universities have been pumping out Data Science grades in rapid pace and the Open Source community made ML technology easy to use and widely available. About being ready So, what does it mean to be ready ?

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Technology Trends for 2025

O'Reilly Media - Ideas

So what does our data show? First, interest in almost all of the top skills is up: From 2023 to 2024, Machine Learning grew 9.2%; Artificial Intelligence grew 190%; Natural Language Processing grew 39%; Generative AI grew 289%; AI Principles grew 386%; and Prompt Engineering grew 456%. Is that noise or signal?

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Enhancing customer care through deep machine learning at Travelers

CIO

s unique about the [chief data officer] role is it sits at the cross-section of data, technology, and analytics,â?? s unique about the role is it sits at the cross-section of data, technology, and analytics. that cover areas of software engineering, infrastructure, cybersecurity, and architecture, for instance.

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IT leaders: What’s the gameplan as tech badly outpaces talent?

CIO

Hes seeing the need for professionals who can not only navigate the technology itself, but also manage increasing complexities around its surrounding architectures, data sets, infrastructure, applications, and overall security. The speed of the cyber technology revolution is very fast and attackers are always changing behaviors.