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CIOs sharpen cloud cost strategies — just as gen AI spikes loom

CIO Business Intelligence

“Awareness of FinOps practices and the maturity of software that can automate cloud optimization activities have helped enterprises get a better understanding of key cost drivers,” McCarthy says, referring to the practice of blending finance and cloud operations to optimize cloud spend.

Strategy 139
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ConocoPhillips enlists 3D printing for supply efficiencies on Alaska’s North Slope

CIO Business Intelligence

Mathur, who held tech chief roles at Staples and Biogen before coming to ConocoPhillips in 2021, is referring to Carlo De Bernardi, a principal engineer at ConocoPhillips responsible for scaling the company’s adoption of 3D printing. These early wins are reason for optimism.

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Large Language Models and Data Management

Ontotext

But there are also a host of other issues (and cautions) to take into consideration. A Few Cautions LLM references a huge amount of data to become truly functional, making it a quite expensive and time consuming effort to train the model. I will start by saying that I believe LLM holds great promise.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

AGI, sometimes referred to as strong AI , is the science-fiction version of artificial intelligence (AI), where artificial machine intelligence achieves human-level learning, perception and cognitive flexibility. The majority (72%) of enterprises that use APIs for model access use models hosted on their cloud service providers.

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What you need to know about product management for AI

O'Reilly on Data

But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools. The need for an experimental culture implies that machine learning is currently better suited to the consumer space than it is to enterprise companies.

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How to Build a Flexible Developer Documentation Portal

Sisense

We also wanted to auto-generate some of the content, especially API references (which are very dry; there’s no “writing” necessary). Additionally, they were relatively costly because they include hosting, but documentation is generally static content so it is cheap and easy to host. First, the hosting is very cheap.

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DataRobot Notebooks: Enhanced Code-First Experience for Rapid AI Experimentation

DataRobot Blog

Data science teams of all sizes need a productive, collaborative method for rapid AI experimentation. DataRobot Notebooks is a fully hosted and managed notebooks platform with auto-scaling compute capabilities so you can focus more on the data science and less on low-level infrastructure management. A host of open-source libraries.