Data Streaming Platforms: A Prerequisite for Enterprise AI
Data streaming platforms are essential for adopting AI/machine learning at enterprise scale, according to nearly two-thirds of IT leaders
Author: LawrenceHecht
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Thirty-seven percent of IT hiring managers in a new survey said they added employees in 2023, while 34% maintained the status quo, according to a new Linux Foundation report.
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JetBrains Developer Survey Tracks Rapid Adoption of AI
51% believe AI-powered code generation will increase demand for professional software developers. However, given the opportunity, 56% of respondents would let an AI assistant write code comments and documentation. In contrast, only 17% would delegate the writing of code to an AI assistant.
AI Will Drive Streaming Data Use — But Not Yet, Report Says
While AI/ML gets a lot of attention, it is not the most common use case for data streaming. Real-time analytics is used by 71% of data streamers in the Redpanda survey, followed by 64% supporting e-commerce transactions with streaming data. Internet of Things (IoT), fraud detection and personalization are also commonly supported. A still impressive 47% of survey participants have a situation where AI/ML uses streaming data.
Who’s Leading WebAssembly Adoption? So Far, Vendors
Web development continues to be the top use case for Wasm, cited by 71% of respondents in the third annual “State of WebAssembly” report.
Despite the Hype, Engineers Not Impressed with DORA Metrics
Twenty-nine percent of engineers surveyed by LeadDev and Swarmia said they don’t know enough about Google’s much-hyped DevOps success measures to say if they’re effective or not.
US Leads in Many DevSecOps Practices, France and Japan Trail
Both Japanese and French organizations are far behind the U.S. and global benchmarks for several practices associated with modern DevSecOps teams. For example, while 46% of U.S. respondents said their organizations use infrastructure-as-code, only 22% of French and 15% of Japanese respondents said likewise.
How Important Is Open Source to AI Adoption?
Among the whopping survey respondents who are using or planning to use LLMs, only 27% actually expect a commercial version to be used in production. Almost half (47%) of those with no plans to use a commercial LLM cited a desire not to share proprietary information with vendors. In comparison, only 17% said the reason is because commercial LLMs are too expensive to scale.