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Predibase exits stealth with a low-code platform for building AI models

TechCrunch

Predibase’s other co-founder, Travis Addair, was the lead maintainer for Horovod while working as a senior software engineer at Uber. Predibase is designed to enable developers to define AI pipelines in just a few lines of code while scaling up to petabytes of data across thousands of machines. .” healthcare company.”

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How companies are building sustainable AI and ML initiatives

O'Reilly Media - Ideas

In 2017, we published “ How Companies Are Putting AI to Work Through Deep Learning ,” a report based on a survey we ran aiming to help leaders better understand how organizations are applying AI through deep learning. Data scientists and data engineers are in demand.

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Why Are We Excited About the REAN Cloud Acquisition?

Hu's Place - HitachiVantara

Forbes notes that a full transition to the cloud has proved more challenging than anticipated and many companies will use hybrid cloud solutions to transition to the cloud at their own pace and at a lower risk and cost. This will be a blend of private and public hyperscale clouds like AWS, Azure, and Google Cloud Platform.

Cloud 78
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MLOps: Methods and Tools of DevOps for Machine Learning

Altexsoft

It facilitates collaboration between a data science team and IT professionals, and thus combines skills, techniques, and tools used in data engineering, machine learning, and DevOps — a predecessor of MLOps in the world of software development. MLOps lies at the confluence of ML, data engineering, and DevOps.

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Technology Trends for 2024

O'Reilly Media - Ideas

But Stack Overflow shows a broad peak in questions from 2014 to 2017, with a sharp decline afterward; the number of questions in 2023 is barely 50% of the peak, and the 20% decline from the January 2023 report to the July report is only somewhat sharper than the previous drops. Interest in data warehouses saw an 18% drop from 2022 to 2023.

Trends 119
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Apiumhub among top IT industry leaders in Code Europe event

Apiumhub

Launching 24/7 digital platforms made him appreciate how much cloud technologies are developer superpowers. Laurent works at Google Cloud Paris and enjoys exploring, learning, and sharing the world of possibilities. He is a member of the US National Academy of Engineering, and an IEEE, ACM, and CHM fellow. Twitter: ??

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Where Programming, Ops, AI, and the Cloud are Headed in 2021

O'Reilly Media - Ideas

Our data shows that Chef and Puppet peaked in 2017, when Kubernetes started an almost exponential growth spurt, as Figure 4 shows. The biggest challenge facing operations teams in the coming year, and the biggest challenge facing data engineers, will be learning how to deploy AI systems effectively. The result?