Gartner ThinkCast The AI Journey That Will Define Your Data & Analytics Future
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Aug 12, 2025 Gareth Herschel, VP Analyst at Gartner and expert in data and analytics, shares insights on navigating the complexities of AI in data initiatives. He emphasizes the crucial role of trust in both AI and data for success, alongside innovative governance strategies that enhance creative freedom. Herschel discusses measuring value beyond just ROI, highlighting the concept of 'return on the future.' Plus, discover how effective storytelling can bridge analytics with tangible business impact, making data more relatable and actionable.
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AI Is A Continuous Transformation
- Treat AI as an ongoing transformation, not a one-off project.
- Build capabilities that adapt continuously to new terrain and learn over time.
Implement Trust Models First
- Implement trust models to rate data by value, lineage, and risk.
- Use context-based trust levels to set governance strictness appropriate for each use case.
Hospital Data Ratings Improved Care
- Alda Mazaku built a data-asset rating system so users instantly see trust levels.
- That reduced the risk of clinicians using incorrect data and improved patient care.