When data is productized and semantics encoded, you unlock agentic AI at scale. Instead of assistants, you get executors: ...

Semantic reasoning tools for databases aim to close that gap. They introduce an abstraction layer that understands business ...

One of the bottlenecks in getting value out of generative AI is the difficulty in turning natural language into SQL queries. Without detailed contextual understanding of the data, the text is ...

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The era of Excel-based decision making has reached its breaking point. While spreadsheets served businesses well for decades, today's enterprise data complexity demands sophisticated infrastructure ...

Cindi Howson at ThoughtSpot proposes an antidote to AI hallucinations Many organisations want Generative AI (GenAI) for its ability to transform industries and automate repetitive enterprise tasks.

Data is one of organizations' most potent assets in an era of growing competition and artificial intelligence (AI) mandates. However, effectively managing and using it requires balancing strict ...