Gartner ThinkCast Scale AI with Data and Analytics
7 snips
Dec 10, 2024 Gareth Herschel, a VP analyst at Gartner and expert in AI scaling, shares his insights on enhancing AI initiatives with data and analytics. He outlines five key strategies for aligning AI tools with suitable use cases, emphasizing the need for governance that balances innovation with ethical considerations. The discussion also tackles misconceptions around AI and the importance of having AI-ready data. Gareth encourages engaging with diverse audience attitudes to facilitate smoother AI adoption and promote overall organizational change.
AI Snips
Chapters
Transcript
Episode notes
Consider AI, But Choose the Right Tool
- Consider AI for every data or analytics initiative.
- Don't always use AI; select the right tool for each project.
Measure and Communicate AI Impact
- Continuously measure the impact of AI initiatives, even after deployment.
- This helps track ROI, identify unintended consequences, and justify costs.
Establish Clear AI Governance
- Establish clear governance guidelines for AI projects: what's allowed, prohibited, and requires permission.
- Involve legal early on for smoother, faster, and safer AI deployments.