ZenML is an extensible open-source MLOps framework designed to create reproducible pipelines. The framework enables data scientists to write their code as automated pipelines from day one. It is built to encourage the iterative and experimental nature of machine learning work, but also to provide a path to an automated, production-ready software base that can … continue reading
JetBrains today announced the release of Compose Multiplatform Alpha, an extension to the Jetpack Compose UI framework that allows developers to build Android, desktop, and web apps from a single codebase. Compose Multiplatform features a stable API that developers can rely on to begin developing production-level apps and now supports Linux on both x86 and … continue reading
Organizations are moving AI and ML up their strategic priority lists and investing more in the technology without yet fully knowing how to turn those investments into increased efficiency and scale, according to the “2021 enterprise trends in machine learning report” from Algorithmia. Approximately 83% of all surveyed organizations said they increased their budgets and … continue reading
Google has announced a new set of services aimed at simplifying Machine Learning Operations (MLOps) for data scientists and machine learning (ML) engineers. According to Google, companies are using machine learning to solve challenging problems, but machine learning systems can create unwanted technical debt if it is not managed well. Google noted that machine learning … continue reading
The open-source JavaScript and WebAssembly engine has reached version 8.0. According to the team, V8 version 8 focuses on bug fixes and performance improvements. Some of the key improvements include: pointer compression, optimizations for higher-order builtins, optional chaining, nullish coalescing, and updates to the V8 API. The full list of improvements is available here. Dotscience … continue reading
Cloudera is calling for industry-wide participation in setting open standards for machine learning operations (MLOps) and machine learning model governance. Cloudera believes that community participation in developing these standards will ensure that companies can leverage their machine learning investments and pave a path for the future. RELATED CONTENT: AI ethics: Early but formative days Ethical … continue reading
