The Rust programming language is moving into new areas, including enterprise data pipelines. While most of the industry relies on Python and Java for data processing, a growing number of companies are discovering that Rust’s combination of performance, safety and modern design makes it a game-changer for data-intensive workloads. The latest proof point comes from

With the growing popularity of artificial intelligence technology over the past year, critics have begun to highlight its numerous shortcomings. Concerns about its potential consequences peaked with OpenAI’s recent announcement of its $500 billion infrastructure investment for the Stargate Project. Critics have raised concerns about the possible implications of widespread AI adoption, including its environmental

The data doesn’t lie: Developers, on average, are juggling 14 different vendor tools throughout the work day. They spent time and cognitive cycles switching back and forth between different interfaces, accounts and workflows just to get their work done. All that context switching creates inefficiencies, fragmentation and unnecessary complexity. Tool sprawl, manual rollbacks, slow testing

Vishnu Kammari also contributed to this article. Generative AI (GenAI) is rapidly becoming a cornerstone of modern business strategies, with many organizations actively integrating AI capabilities into their software and workflows. While enterprises are pushing forward with proofs of concept (PoCs), specialized expertise is often needed to turn these into production workloads, creating hurdles in

New developments at Opensource.com admin Tue, 06/06/2023 – 13:30 You may have noticed that it’s been quiet here on Opensource.com lately. That’s because there’s a new project in the works, and while there aren’t many specific details to announce yet, there’s plenty to talk about. What better way to start than with the entire internet?