Artificial Intelligence (AI) is transforming industries by automating tasks and generating insights, but its true effectiveness depends on high-quality, relevant data. Structured data is the most ...

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 ...

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 ...

Fragmented stacks, hand-coded ETL and static dashboards are dead; AI is forcing data management to finally grow up in 2026.

A startup called Iterative Inc., which is focused on helping to improve and streamline workflows for artificial intelligence engineers, today announced a new open-source tool called DataChain that it ...

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, ...

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 ...

Data Cloud Vector Database will unify all business data, including unstructured data like PDFs, emails, and transcripts, with CRM data to enable grounding of AI prompts and Einstein Copilot, ...

The way people find and consume information has shifted. We, as marketers, must think about visibility across AI platforms and Google. The challenge is that we don’t have the same ability to control ...

Today, in the tech world, words like RAG (Retrieval Augmented Generation), a technique for enhancing the accuracy and reliability of generative AI models, ETL engines (extract, transform, and load), ...