Automatic data extraction with AI speeds up workflows, improves accuracy, and enables smarter decision-making across multiple industries.

Enterprise AI agents are often framed as a model problem. We’re told that the leap from building chatbots to agentic systems depends on better reasoning, larger context windows, and smarter benchmarks ...

PPG's journey highlights a trend in enterprises seeking to deploy AI applications: without a strong data environment, success is hard. This challenge is leading enterprises to realize that not only is ...

Large-language models (LLMs) have taken the world by storm, but they’re only one type of underlying AI model. An under-the-radar company, Fundamental, is set to bring a new type of enterprise AI model ...

When leaders think about data, structured data—such as payment amounts, invoice processing dates and customer names—likely crosses their minds first. Because structured data is objective, it’s ...

Roughly 80% of enterprise data sits in emails, contracts, call transcripts, and PDFs where traditional databases can't touch it. Much of this "unstructured" data isn't ignored because it lacks value, ...

Abstract: Dataflow management provides limited performance improvement to the transformer model due to its lesser weight reuse than the convolution neural network. The cosFormer reduced computational ...

The Questionnaire Finder provides direct access to survey questionnaires available through the UNHCR Microdata Library (MDL), which hosts anonymized microdata collected by UNHCR and partners.

The questionnaire began simply. What, asked Q1, “is her name”? It was followed by Q2: “When was she born?” Then, because witches can be tricky, the questions on this 17th-century form took a tougher ...