Remove Artificial Intelligence Remove Data Engineering Remove Open Source
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10 most in-demand enterprise IT skills

CIO

Its a common skill for cloud engineers, DevOps engineers, solutions architects, data engineers, cybersecurity analysts, software developers, network administrators, and many more IT roles. Kubernetes Kubernetes is an open-source automation tool that helps companies deploy, scale, and manage containerized applications.

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IDC chief research officer: GenAI, from experimentation to adoption

CIO

Back in 2023, at the CIO 100 awards ceremony, we were about nine months into exploring generative artificial intelligence (genAI). Fast forward to 2024, and our data shows that organizations have conducted an average of 37 proofs of concept, but only about five have moved into production. We were full of ideas and possibilities.

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Heartex raises $25M for its AI-focused, open source data labeling platform

TechCrunch

Heartex, a startup that bills itself as an “open source” platform for data labeling, today announced that it landed $25 million in a Series A funding round led by Redpoint Ventures. This helps to monitor label quality and — ideally — to fix problems before they impact training data.

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Comprehensive data management for AI: The next-gen data management engine that will drive AI to new heights

CIO

All industries and modern applications are undergoing rapid transformation powered by advances in accelerated computing, deep learning, and artificial intelligence. The next phase of this transformation requires an intelligent data infrastructure that can bring AI closer to enterprise data.

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Iterative raises $20M for its MLOps platform

TechCrunch

Iterative , an open-source startup that is building an enterprise AI platform to help companies operationalize their models, today announced that it has raised a $20 million Series A round led by 468 Capital and Mesosphere co-founder Florian Leibert. He noted that the industry has changed quite a bit since then. ”

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What is Data Engineering: Explaining Data Pipeline, Data Warehouse, and Data Engineer Role

Altexsoft

Being at the top of data science capabilities, machine learning and artificial intelligence are buzzing technologies many organizations are eager to adopt. If we look at the hierarchy of needs in data science implementations, we’ll see that the next step after gathering your data for analysis is data engineering.

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Technology Trends for 2025

O'Reilly Media - Ideas

This year, one thread that we see across all of our platform is the importance of artificial intelligence. Artificial Intelligence It will surprise absolutely nobody that AI was the most active category in the past year. So what does our data show? Theres a different take on the future of prompt engineering.

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