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3 promises every CIO should keep in 2025

CIO

In 2025, IT leaders should invest in AI, but also focus on the cases where they can demonstrate measurable value, and then improve on those cases incrementally. You can have the best AI tool, but if your data is ingested from a bad source, youll have bad outcomes from AI. Where are we heading? How are we making money?

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IDC chief research officer: GenAI, from experimentation to adoption

CIO

Organizations are finding they have outdated data or incomplete data sets. Companies tend to invest heavily in the data plane where data is stored, organized and managed. Now, they need to invest in data engineering to prepare data for grounding and fine-tuning their AI models.

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Meet Perficient at Data Summit 2025

Perficient

Data Summit 2025 is just around the corner, and were excited to connect, learn, and share ideas with fellow leaders in the data and AI space. We caught up with Jerry Locke, a data solutions expert at Perficient, whos not only attending the event but also taking the stage as a speaker.

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Scala returning to its origins: A tale of 4 chapters

Xebia

This is my personal review of a talk given by Martin Odersky at Scalar Conf 2025. For example, events such as Twitters rebranding to X, and PySparks rise in the data engineering realm over Spark have all contributed to this decline. If you would like to watch Martin’s talk, here you have it.

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Remember when developers reigned supreme? The market for software coding goes soft

CIO

Job titles like data engineer, machine learning engineer, and AI product manager have supplanted traditional software developers near the top of the heap as companies rush to adopt AI and cybersecurity professionals remain in high demand. An example of the new reality comes from Salesforce.

Marketing 152
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Top 10 Highest Paying IT Jobs in India

The Crazy Programmer

Also, the valuation for this industry will cross $100B by 2025, and it has registered exports of $150B. Big Data Engineer. Another highest-paying job skill in the IT sector is big data engineering. And as a big data engineer, you need to work around the big data sets of the applications.

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Tecton raises $100M, proving that the MLOps market is still hot

TechCrunch

But building data pipelines to generate these features is hard, requires significant data engineering manpower, and can add weeks or months to project delivery times,” Del Balso told TechCrunch in an email interview. Systems use features to make their predictions. Tecton isn’t the only startup chasing after it.