Generative artificial intelligence data processing startup Unstructured Technologies Inc. has closed on its second major funding round in less than a year, announcing a $40 million fundraising.
TEL AVIV, Israel--(BUSINESS WIRE)--In a revolutionary move, Flow has designed data classification powered by Large Language Models (LLMs). With a focus on unstructured data, this technology can ...
SAN FRANCISCO, Sept. 19, 2023 (GLOBE NEWSWIRE) -- Galileo, a leading machine learning (ML) company for unstructured data, today announced the general availability of Galileo LLM Studio, a platform for ...
The new managed functions will let enterprises apply LLM reasoning to structured and unstructured data directly in SQL, eliminating prompt tuning and external tools. Google has boosted its BigQuery ...
The latest trends in software development from the Computer Weekly Application Developer Network. This is a guest post for the Computer Weekly Developer Network written by legal AI agent software ...
Brian Raymond is founder and CEO of Unstructured, an AI startup that makes disparate human-generated data ready to be used to train and improve AI models. Artificial intelligence models require vast ...
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 ...
Large language model data processing startup Unstructured Technologies Inc. has raised $25 million in new funding to expand its operations and business reach. Founded in 2022 by U.S. Central ...
In the dynamic world of data science, the conversion of unstructured data into structured data is a key process. This transformation is crucial for enabling more efficient data analysis and ...
The addition of LLM to Sentra’s classification engine allows scanning and classifying sensitive enterprise data like source codes, and employee details. Classifying sensitive unstructured data like ...
‘The same things that help you understand your storage and optimize it, the same capabilities, are applicable to AI, except it's now about the value of the data. It's not about the storage cost of the ...