What’s the best way to store, search, and analyze content not based on their technical characteristics but on their meaning? The volume of data being created today is truly staggering. IDC projects ...
What data helps investment managers spot opportunities in volatile markets? We explore how alternative and unstructured data, ...
Unstructured data refers to information that does not have a predefined data model or organized format, making it more challenging to store, process, and analyze compared to structured data. Unlike ...
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 ...
In recent years, the spotlight has been on unstructured data -- text, graphics, documents, IoT streams -- all streams of data that hold tremendous, untapped value. The database industry underwent a ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More We’re in the midst of a data revolution. The volume of digital data ...
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 ...
We are in the midst of an unstructured data revolution – with 80% of data likely to be unstructured by 2025, according to IDC. The rise of advanced analytics and in particular artificial ...
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 ...
With intelligent automation and sound policies, IT teams can properly manage and leverage data for game-changing AI and analytics initiatives. The Fast Company Executive Board is a private, fee-based ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Getting enterprise data into large language models (LLMs) is a critical ...