Open-source software tools continue to increase in popularity because of the multiple advantages they provide including lower upfront software and hardware costs, lower total-cost-of-ownership, lack ...

Data quality -- the practice of testing and ensuring that the data and data sets you are using are what you expect them to be -- has become a key component in the world of data science. Data may be ...

Analysts found that 52% of open-source projects are written in memory-unsafe languages like C and C++. A number of open source tech tools have moved towards commercial licences. Thoughtworks says this ...

Several factors, like consistency, accuracy, and validity, contribute to data quality. When left unchecked, businesses that utilize inconsistent, inaccurate, or invalidated data can lead to poor ...

Continuous integration and continuous delivery/deployment (CI/CD) tools infuse automation into the software development lifecycle. By helping developers automate integration, testing and deployment, ...

Developers and data scientists use generative AI and large language models (LLMs) to query volumes of documents and unstructured data. Open source LLMs, including Dolly 2.0, EleutherAI Pythia, Meta AI ...

Open-source software tools continue to increase in popularity because of the multiple advantages they provide including lower upfront software and hardware costs, lower total-cost-of-ownership, lack ...