Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this 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 ...

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.

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 ...

While the crucial role of data in the enterprise will never diminish, how companies harness the data continues to evolve. There’s a radical shift currently happening, however, where structured data as ...

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 ...

Globally, unstructured data represents 80% to 90% of the world’s digital information. By 2025, that volume is expected to reach 175 zettabytes. Unstructured data is everywhere—medical images, ...

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 ...