"enterprise data"

Palantir CEO Alex Karp says frontier AI labs are overselling models while extracting enterprise IP. Here's what his CNBC interview signals f...

Oracle expands its AI database security strategy with new data protection, patching, and cyber resilience tools to help enterprises respond...

Nvidia's reported $400 million Kumo AI deal brings the first relational foundation model in-house, pushing predictive AI on business data de...

Snowflake's quiet Natoma buy, alongside a $6B AWS deal, reveals its real ambition: governing what AI agents do, not just storing the data th...

Most companies have poured their energy into picking the right AI model. This is a reasonable question. But it is the wrong one to obsess ov...

Despite widespread hype for AI agents as the future of work, adoption remains low, primarily due to behavioral barriers; users prefer tools...

AI models without strong business context risk costly errors, but vendor approaches to “context” vary. Enterprises must take ownership of th...

A connected finance core brings together planning, operations, controls and data signals across the enterprise.

Most leadership teams are still asking which AI tool they should buy. The better question is whether their company is actually ready to use...

Data operationalization, complemented by the pragmatic deployment of AI use cases with said data, is, at its core, a move toward automation...