HelpMum's Dr. Abiodun Adereni open-sources his AI tools not by choice but necessity — a conversation on what that does to ...

Open source, open weight and proprietary AI might sound similar, but the differences can have major consequences for how ...

NEW YORK--(BUSINESS WIRE)--Datafold, a data reliability company, today announced data-diff, a new open source cross-database diffing package. This new product is an open source extension to Datafold’s ...

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 ...

Despite a lack of consensus on what open data means, organizations and open source projects are tackling it as we move into the future of computing. If “open source” was the rallying cry of the past ...

– Tuva Health, the world’s first open-source healthcare data transformation platform, today announced it has partnered with MultiCare Connected Care (MCC), MultiCare Health System’s accountable care ...

Lightdash, a business intelligence (BI) platform and open source alternative to Google’s Looker, is lifting the lid on a new product that allows companies to train “AI analysts” specific to individual ...

Open-source AI offers privacy, cost control and customization, but enterprises face licensing, security, and deployment risks ...

Open source proponents are quick to list the benefits of this type of software, with lower purchase costs being a primary reason for most organizations' interest in using it instead of proprietary ...

Enterprises are adopting data observability tools to troubleshoot data engineering and data science problems. These tools differ from traditional observability tools that focus on troubleshooting ...

Provectus released v0.8 of its Open Data Discovery Platform (ODDP), an open-source platform that helps data-driven enterprises democratize their data. Designed to overcome the limitations of ...