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Why platform engineering?

The shift from devops to platform engineering could be transformational. Here's why and what's involved in making the leap.

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Large language models are the new cloud battleground

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.

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The AI singularity is here

The time to figure out how to use generative AI and large language models in your code is now.

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How generative AI can hurt cloud operations

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.

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From ‘cloud washing’ to ‘AI washing’

The marketing games continue. AI is the new spin causing a great deal of confusion in the world of cloud computing.

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AI and the future of software development

Maybe you’re not ready to let AI write your code, but it’s quite useful for testing and analyzing code.

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The philosopher: A conversation with Grady Booch

Grady Booch explores the intersection of computing, what it means to be human, and the evolution of intelligence in the 21st century.

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Cloud-based quantum computing lets startups compete with Goliaths

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.

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Avoiding vendor lock-in and the data gravity trap

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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AI still requires human expertise

AI generates a lot of answers and saves a lot of time, but it’s too often incomplete or untrustworthy.

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Should you leave Twitter for the fediverse?

Tired of Facebook, Twitter, and Instagram? Skeptical of the metaverse? The non-profit, distributed, community-oriented fediverse might be for you.

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The cost and sustainability of generative AI

All the people using DALL-E to create images or letting ChatGPT write their term papers are eating up a lot of cloud resources. Who’s going to pay for all this?

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Zero-shot learning and the foundations of generative AI

This alternative to training with huge data sets has potential for business, but data science teams will need to spend time on research and experimentation.

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10 reasons to worry about generative AI

After decades of speculation, real-world artificial intelligence has finally hit a tipping point. Now that we know what AI models like ChatGPT and DALL-E can do, should we be worried?

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DataStax launches Astra Block to support Web3 applications

Astra Block, which is based on the Ethereum blockchain, will be available as part of the company’s Astra DB NoSQL database-as-a-service.

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The tech leader's guide to 2023

What's ahead for cryptocurrency, cybersecurity, AI-based application development, and extended reality in 2023? Here's a roadmap from some of tech's most forward-thinking leaders.

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MLops is the hot new cloud computing career path

Amid the popularity of ChatGPT, MLops spending will surge in 2023 as leaders increase investments in machine learning. Cloud pros should take a look.

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Can AI replace cloud architects?

AI systems get more impressive every day. Today’s AI can automate the tasks of many information workers, so those in cloud jobs worry they're next.

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Web 3.0 doesn’t need a blockchain revolution

Internet users want control over their data and visibility into how their data is being used. An evolution of today’s web, already mapped out by Sir Tim Berners-Lee, can provide both.

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What kind of future will AI bring enterprise IT?

Think of artificial intelligence as a useful tool to help a company take small steps forward, rather than something to supplant people.

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