Curated articles, resources, tips and trends from the DevOps World.
While design patterns have helped to document software as an engineering discipline, they don’t really help much as a teaching aid.
AI is upending the tech industry. The talk of artificial general intelligence (AGI) and its ability to replace humans is ubiquitous. Whether the future is in a decade or a year, many teams need help making the most of AI.
Picture this: You’re an engineer for a clothing brand that gets the bulk of its sales from online orders. All of your customer data is stored on one cloud — order history, payment information, you name it.
Given the buzz around it, it’s a little strange you don’t hear much about the possibilities of AI in Knowledge Management. If you’ve been using large language models like ChatGPT for a while, you know their strengths and weaknesses.
Computer vision is a field in computer science that uses AI to enable computers to understand and recognize people and objects in images and videos. Computer vision can identify individuals in a photograph by analyzing the image and determining what appears to be a person.
NEW YORK — How do you build an internal developer platform for an organization that can expect massive online traffic surges on a regular basis and whose developers have grown used to lots of autonomy?
He’s been doing it for 17 years, then somehow ran afoul of a U.S. federal agency … maybe. The saga of singer-songwriter Jonathan Mann — who has been writing a new song every day since 2007 — might soon detour into a surprising legal drama.
IT systems are constantly under threat — malicious or not — so much that breaches have become almost commonplace. Case in point, as we started writing this article, news broke that 4.5 million people were affected by the recent HealthEquity data breach.
It sounds counterintuitive — using a technology that has trust issues to create more trustworthy data. But smart engineers can put generative AI to work to improve the quality of their data, allowing them to build more accurate and trustworthy AI-powered applications.
Enterprises often turn to API catalogs when they are seeking a way to increase API discoverability and reduce the risk of duplicating business logic.
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