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CIOs rethink all-in cloud strategies

CIO

The savings are just too big to ignore for a ton of companies,” says David Heinemeier Hansson, the Danish developer of Ruby on Rails and co-owner and CTO of 37signals, which completed a six-month total exit from the cloud last June. “‘Cloud exit’ became a big theme in 2023 and there’s good odds it’ll turn into a real trend for 2024.

Strategy 360
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JLL reinvents itself for the AI era

CIO

At the heart of JLL’s transformation into a technology provider is the cloud infrastructure JLL built using AWS, Google Cloud Platform, and Microsoft Azure, as well as Snowflake for data storage and Azure AI and Databricks for AI models. Generative AI and LLMs are changing all that.

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Why CIOs back API governance to avoid tech sprawl

CIO

And as reliance on generative AI rises, the number of APIs in use is anticipated to increase accordingly. But APIs do more than support next-generation technologies — they already serve a foundational purpose within most enterprises. “API-first

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4 reasons why gen AI projects fail

CIO

PricewaterhouseCoopers has been working with many companies recently to help them get off the ground with gen AI projects. But despite all the hype around the technology, or even because of it, not everything goes smoothly. With gen AI, since the technology is so new, nobody can predict that accurately.

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Nvidia points to the future of AI hardware

CIO

GPU powerhouse Nvidia has bet its future on AI, and a handful of recent announcements focus on pushing the technology’s capabilities forward while making it available to more organizations. Blackwell will allow enterprises with major AI needs to deploy so-called superpods, another name for AI supercomputers.

Hardware 247
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Solar models from Upstage are now available in Amazon SageMaker JumpStart

AWS Machine Learning - AI

It includes kernels that start in seconds, a preconfigured runtime with popular data science, ML frameworks, and high-performance private block storage. Create a JupyterLab space within SageMaker Studio that manages the storage and compute resources needed to run the JupyterLab application.

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Cybersecurity Snapshot: New Guide Explains How To Assess If Software Is Secure by Design, While NIST Publishes GenAI Risk Framework

Tenable

(Center for Cyber Security Research) 2 - NIST issues GenAI risk framework and secure software-development tips If your organization uses generative AI but hasn’t yet formally assessed its risks, check out a new publication from the National Institute of Standards and Technology (NIST.)