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AI will drive tremendous net-new cloud growth, despite claims that we’re in a downturn. Optimizing your cloud systems has never been more important.
The shift from devops to platform engineering could be transformational. Here's why and what's involved in making the leap.
Perhaps the biggest thing since open source or Google, LLMs may have companies fighting for supremacy, but it’s the developers who come out ahead.
The time to figure out how to use generative AI and large language models in your code is now.
The hype around generative AI is white hot, and cloud operators are excited about the possibilities. First, let’s anticipate the unique problems it can cause.
The marketing games continue. AI is the new spin causing a great deal of confusion in the world of cloud computing.
Maybe you’re not ready to let AI write your code, but it’s quite useful for testing and analyzing code.
Grady Booch explores the intersection of computing, what it means to be human, and the evolution of intelligence in the 21st century.
Once out of reach for smaller companies, quantum computing services level the playing field. Providers offer access, development kits, and training at more affordable prices.
One of the primary reasons companies fail to innovate is that they are locked into a specific vendor’s technology. Watch out for these pitfalls.
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