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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.

UI/UX 203
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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?

Trends 131
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AI data readiness: C-suite fantasy, big IT problem

CIO

The survey points to a fundamental misunderstanding among many business leaders regarding the data work needed to deploy most AI tools, says John Armstrong, CTO of Worldly, a supply chain sustainability data insights platform. Gen AI uses huge amounts of energy compared to some other AI tools, he notes.

Data 201
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What is data architecture? A framework to manage data

CIO

In addition to using cloud for storage, many modern data architectures make use of cloud computing to analyze and manage data. Modern data architectures use APIs to make it easy to expose and share data. AI and machine learning models. Data integrity. Choose the right tools and technologies.

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Here’s where MLOps is accelerating enterprise AI adoption

TechCrunch

DevOps fueled this shift to the cloud, as it gave decision-makers a sense of control over business-critical applications hosted outside their own data centers. Data engineers play with tools like ETL/ELT, data warehouses and data lakes, and are well versed in handling static and streaming data sets.