We have far more data available to us than we know. The problem is that we all have too much knowledge, and some don't know what to do with them. What we can do is use data extraction tools to recover ...

Data extraction is the process of accessing, collecting & importing data. Discover some examples of data extraction tools & how they work here. Image: max_776/Adobe Stock Most businesses have access ...

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 ...

The success of pharmaceutical companies in developing drugs for treating and curing medical conditions is largely dependent on the quality and completeness of data they gather from clinical trials and ...

Rehan Jalil is CEO of cybersecurity and data protection infrastructure firm SECURITI and ex-head of Symantec’s cloud security division. Generative AI (GenAI) adoption is no longer a choice—it’s a ...

New patent underscores ACTFORE’s leadership in driving innovation across the data mining landscape RESTON, Va., July 31, 2025 (GLOBE NEWSWIRE) -- ACTFORE, a leading provider of AI-powered breach ...

In a recent study published in npj Digital Medicine, researchers evaluated ChatGPT's ability to extract structured data from unstructured clinical notes. Study: A critical assessment of using ChatGPT ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Information, without order, is chaotic. Attempting to work ...

Data scientists today face a perfect storm: an explosion of inconsistent, unstructured, multimodal data scattered across silos – and mounting pressure to turn it into accessible, AI-ready insights.

Applying gen AI to solve useful problems at scale requires a paradigm shift in how we think about data management and integration. Krishna Subramanian, COO and co-founder of Komprise, walks through ...