Fundamental, which just closed a $225 million funding round, develops ‘large tabular models’ for structured data like tables and spreadsheets.

Abstract: Exponential growth of unstructured data in the form of text documents, emails, and web content presents a noticeable challenge to automated data extraction. This kind of data has much more ...

Discovery of structured data for litigation and investigations isn’t new, however, the proliferation of enterprise-wide ...

Fundamental has built a new foundation model to solve an old problem: how to draw insights from the huge quantities of ...

As GenAI usage increases in the corporate world, many executives will likely have to answer this question from their boards: “What’s the ROI on GenAI?” ...

Unstructured data is now the constraint shaping how far artificial intelligence platforms can realistically scale. Enterprises are struggling to scale AI because unstructured data pipelines can’t ...

We developed a data pipeline using a secure, enterprise-wide deployment of OpenAI's GPT-4.0 to automatically extract data elements from prostate MRI report text when presented with prostate MRI ...

Last November, Google announced it was dropping support for a number of structured data types and search features. One of those was practice problem structured data types, and now, Google has removed ...

Abstract: Despite unstructured data constituting over 80% of the information available today, no specialized analytics system currently exists to process this type of data. The lack of a predefined ...