Making the case for context-aware AI
For Devavrat Shah, chief scientist of enterprise AI at Celonis, that context is central to what he calls “decision intelligence.” AI agents can support individual tasks within larger decision-making processes, he argues, but they need to understand the role each task plays and the business conditions surrounding it. “You can’t just do that in a vacuum,” he says.
Proof1 independent outlet
Key points
- Enterprise AI can generate recommendations, automate tasks, and help organizations make decisions faster.
- As companies look to move AI from experimentation into everyday operations, the challenge ahead is giving technology the context to act usefully within complex business processes.
- A contextual layer can help agents understand workflows, operate within defined guardrails, and produce recommendations that people can review and approve.
- With the right context, AI could help organizations evaluate options and make consequential decisions more quickly.
Sources (1)
- [1]Making the case for context-aware AIMIT Technology Review (AI) · Oct 22, 10:00 AM
For Devavrat Shah, chief scientist of enterprise AI at Celonis, that context is central to what he calls “decision intelligence.” AI agents can support individual tasks within larger decision-making processes, he argues, but they need to understand the role each task plays and the business conditions surrounding it. “You can’t just do that in a vacuum,” he says.
Enterprise AI can generate recommendations, automate tasks, and help organizations make decisions faster.
Extractive summary: sentences quoted from the sources.
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