AI tools and apps also rely heavily on unstructured data. For example, an e-commerce company that wants to automate and improve its customer support experience might use AI to sort through social ...

Data security solutions identify unusual data movement and exfiltration attempts early, potentially mitigating the breach’s ...

AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

New Delhi: The healthcare industry's vast pool of unstructured clinical data is fast emerging as a major market opportunity for companies building Artificial Intelligence (AI)-driven solutions, say ...

Whether you’re generating data from scratch or transforming sensitive production data, performant test data generators are critical tools for achieving compliance in development workflows.

Machine​‍​‌‍​‍‌​‍​‌‍​‍‌ learning models are highly influenced by the data they are trained on in terms of their performance, ...

Dark data not only generates unnecessary costs, but also increases risks and the potential for losses. Here's what business ...

Building effective agentic solutions requries an ontology-based single source of truth. Ontology is a business definition of concepts, their hierarchy and relationships. It defines terms with respect ...

Opinion: Businesses relying on data must be aware of the critical challenge posed by the shifting test for what is truly ...

Cloud database company Couchbase Inc. said today it’s trying to reduce the complexity of agentic application development with ...