Fimatix, a provider of digital transformation solutions, announced today the acquisition of Semantic Evolution, a specialist in the provision of AI and machine learning powered solutions to the ...
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 ...
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 ...
Please provide your email address to receive an email when new articles are posted on . Natural language processing analyzes unstructured text documents that providers do not have time to sort through ...
The key to building modern data products lies in unlocking the unstructured data from audio, video, text, and documents around your organization. Pre-LLM era approaches to working with this data were ...
The past half-decade has been a period of notable acceleration for enterprise data. Organizations of all sizes have poured billions of dollars into acquiring, storing and analyzing first-party data to ...
Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now According to a new report by nRoad, ...
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 investors in Unstructured, which develops technology for ingesting and pre-processing unstructured data for use in developing large language models, or LLMs, include the funding arms of several AI ...
Large language models (LLMs) such as OpenAI’s GPT-4 are the building blocks for an increasing number of AI applications. But some enterprises have been reluctant to adopt them, owing to their ...
IDC estimates that upwards of 80% of business information is likely to be formed of unstructured data by 2025. And while “unstructured” can be something of a misnomer, because all files have some sort ...