Domo calls for AI metrics tied to real business outcomes
Domo’s Chief AI and Analytics Officer says most companies still struggle to tie their spending on AI tools to tangible business results. Teams often run different AI tools in isolation, making it tough to track costs and measure if the tools really help. Domo’s approach focuses on system-wide analytics—watching how people use tools and sharing learnings—rather than just chasing perfect data setups. The goal: justify AI investments with clear, consistent value.
- Most firms can't show AI boosts business results
- Teams use disconnected AI tools, creating data silos
- Tracking use and costs needs better analytics
- Perfect data isn’t required to start AI projects
- Validating AI answers builds trust and value
Sources covering this
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