The cloud service provider hopes to bolster productivity by offering agentic AI to users so they can extract crucial details from their unstructured data. Box’s heritage as a cloud service provider ...

The way people find and consume information has shifted. We, as marketers, must think about visibility across AI platforms and Google. The challenge is that we don’t have the same ability to control ...

What if the messy, unstructured text clogging your workflows could be transformed into a goldmine of actionable insights? Imagine sifting through mountains of customer reviews, clinical notes, or news ...

LangExtract lets users define custom extraction tasks using natural language instructions and high-quality “few-shot” examples. This empowers developers and analysts to specify exactly which entities, ...

Security researchers say Chinese authorities are using a new type of malware to extract data from seized phones, allowing them to obtain text messages — including from chat apps such as Signal — ...

Background A study was undertaken to assess the effectiveness of open-source large language models (LLMs) in extracting clinical data from unstructured mechanical thrombectomy reports in patients with ...

Extract data and apply schemas across your multi-modal content, with confidence scoring and user validation enabling greater speed of data ingestion. Process claims, invoices, contracts and other ...

Have you ever stared at a massive spreadsheet, overwhelmed by the chaos of mixed data—names, IDs, codes—all crammed into single cells? It’s a common frustration for anyone managing large datasets in ...

The enterprise data landscape is undergoing a fundamental shift as the importance of unstructured data grows in parallel with the rise of generative AI and agentic workflows. Data platforms are ...