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Oracle makes its pitch for the enterprise cloud. Should CIOs listen?

CIO

This technology, leveraging artificial intelligence, offers a self-managing, self-securing, and self-repairing database system that significantly reduces the operational overhead for businesses.” The allure of such a system for enterprises cannot be overstated, Lee says. “We

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When ML Meets DevOps: How To Understand MLOps

Dzone - DevOps

Artificial Intelligence ( AI ) and Machine Learning ( ML ) have taken over the world in recent years, becoming crucial components of practically any industry, from retail and entertainment to healthcare and banking. It follows DevOps-like techniques for rapid and dependable software development in the ML sector.

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Intelligent Cloud: Machine Learning Integration in the Cloud

Dzone - DevOps

Today, artificial intelligence-powered machine learning (ML) and data analytics solutions are high in demand by companies in almost every area, whether it’s the financial sector, power industry, retail, healthcare, technology, or telecommunications.

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Can developer productivity be measured? Better than you think

CIO

In retail, for example, software has been the fastest-growing job category ; about half of the world’s software engineers work outside the tech industry. Given the rise of generative artificial intelligence , that could well be a massive underestimate. And this doesn’t matter only for tech companies. Here’s how it works.

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P&G turns to AI to create digital manufacturing of the future

CIO

P&G is also piloting the use of IIoT, advanced algorithms, machine learning (ML), and predictive analytics to improve manufacturing efficiencies in the production of paper towels. Second, be equipped with tons of learning agility and genuine curiosity to learn.

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Data Science on Steroids: Productionised Machine Learning as a Value Driver for Business

OpenCredo

Machine Learning, alongside a mature Data Science, will help to bring IT and business closer together. Agile and DevOps practices enable the continuous delivery of business value through productionised machine learning models and software delivery. Machine learning produces predictions.

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Which workloads are best suited for cloud vs. on-premises or edge?

CIO

Artificial intelligence (AI) projects are another useful example. The HPE GreenLake edge-to-cloud platform brings the desired cloud-based operating model and platform experience, but with consistent and secure data governance practices, starting at the edge and running all the way to public cloud.

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