Unstructured data isn’t an asset by default — it’s a liability until CIOs govern, lifecycle and curate it for AI-ready value.

Enterprises face key challenges in harnessing unstructured data so they can make the most of their investments in AI, but several vendors are addressing these challenges.

Turn messy notes into order fast with tables in NotebookLM. Convert PDFs and Google Docs, free to use, so you save hours ...

Preparing for agentic AI requires investing in cloud-native foundations and interoperable content platforms that unify ...

Taking back control of data requires a commitment to developing enterprise-wide visibility into where data resides, how old ...

Companies collect data for years in hopes of someday making use of it. With gen AI, the time has come, but the hard work is ...

Learn how to leverage AI to improve processes, power growth and make stronger connections with your customers.

The ability to write parts of SQL queries in natural language will help developers speed up their work, analysts say.

Given the rapidly evolving landscape of Artificial Intelligence, one of the biggest hurdles tech leaders often come across is ...

The project for which Hulsebos received the grant is called DataLibra, which runs from 2024 to 2029. Over those five years, ...

AI is transforming underwriting and helping to automate different aspects while improving the customer and agent experience.

The real opportunity is to use AI as part of a broader shift: one that begins with understanding people and ends with better ...