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.

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

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

Machine learning reduces friction at every stage of a business, whether you’re coming up with new product ideas or getting the goods delivered to the client. It increases business efficiency, improves ...

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 ...

Traders and investment teams are deploying AI to surface smarter insights faster and stay ahead in increasingly complex ...

Automating manual processes improves efficiency and eliminates human error. Learn about workflow automation and how to create ...

Abstract: In data analysis, a significant amount of erroneous or incomplete data can hinder informed organizational decisions prompting the need for automated data cleaning. Leveraging successful ...

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

What data helps investment managers spot opportunities in volatile markets? We explore how alternative and unstructured data, ...

Google Cloud’s lead engineer for databases discusses the challenges of integrating databases and LLMs, the tools needed to ...