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 ...

Traditional data warehouses—once the backbone of business intelligence and reporting—are increasingly misaligned with today’s data demands. The surge in data volume, velocity and variety has exposed ...

Databricks is testing a beta SharePoint connector for AWS that can ingest structured, semi-structured, and unstructured files into Delta tables with Unity Catalog governance. The feature supports both ...

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.

AI-powered data pipelines are transforming how businesses collect, process, and use data, making insights faster and more reliable. From batch ETL to real-time streaming, modern architectures ...

Getting enterprise data into large language models (LLMs) is a critical task for enabling the success of enterprise AI deployments. That's where retrieval augmented generation (RAG) fits in, which is ...

Eilon Reshef, cofounder and CPO of Gong.io, is a seasoned entrepreneur, executive and investor in the internet and software spaces. Getting strategically valuable insights out of unstructured data has ...

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 talk to Nasuni founder and chief technology officer (CTO) Andres Rodriguez about the characteristics needed from storage to make optimal use of unstructured data in the enterprise, as well as the ...