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 ...

The storage in big data market is expanding rapidly due to increasing volumes of enterprise and IoT data, growing adoption of cloud and software-defined storage solutions, and rising demand for ...

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 ...

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, ...

Microsoft Fabric is reshaping how enterprises manage and leverage their data by unifying analytics, integration, governance, and AI in a single SaaS platform. From breaking down silos to enabling real ...

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 ...

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 ...

Unstructured data sprawl happens when organizations accumulate massive amounts of files -- like documents, images, videos, emails, and backups -- across different systems, locations, and users with ...