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The potential for generative AI to deliver a significant return on investment is being demonstrated by early adopters across various industries. My company provides one example.
Generative AI is causing excitement but not success for most enterprises. This needs to change quickly, but it will take some work that enterprises may not be willing to do.
Powered by GitHub Copilot, Copilot Edits proposes code changes across multiple files in a workspace based on the user’s prompts.
Not all machine learning courses and certifications are equal. Here are five certifications that will help you get your foot in the door.
Workloads in the cloud and workloads on premises are both reasonable choices. Enterprises are about evenly split between the two.
PipelineDP4j, an ‘out-of-the-box’ solution for analyzing data sets in Apache Beam and Apache Spark in a privacy-preserving way, is intended to be usable by all developers.
This issue showcases practical AI deployments, implementation strategies, and real-world considerations such as for data management and AI governance that IT and business leaders alike should know before plunging into AI.
Cloud computing has become the ideal way to deliver enterprise applications—and the preferred solution for companies extending their infrastructure or launching new innovations.
Unsustainable demands for AI are on the horizon. People will soon have to stop fake-caring about cloud sustainability and give a damn for real.
Python was in the spotlight all last month, with a new release and a couple of big wins. Here are our picks for the best news and tutorials for Python developers in October.