Panel: Data-Driven Sustainability
summary
A coalition of cases shows concrete wins and clear limits: an 80 acres sensor network feeds AI models that cut water, energy and transport waste on European farms; a tourism project links cellular mobility data with bed-occupancy to reroute visitors and reduce queues and emissions; an enterprise trains models on 600,000 purchase-order items to auto-categorize spend into green/grey buckets and surface where procurement must change. Built systems use IoT, Celonis process mining, SAP integration and data lakes, but struggle with nonstandard formats, poor data quality, costs and missing legal incentives.
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chapters (7)
- 0:00Welcome
- 2:20Data-driven sustainability best practices
- 10:45Sustainability data challenges
- 19:09Hurdles ahead
- 22:43AI in sustainability future
- 26:04Financing data use cases
- 30:01Q&A
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