Real world data & analytics journeys
summary
Utilities combine lidar helicopter methane surveys, stationary sensors and manual leak checks into a single asset-linked pipeline; electric teams process millions of drone images with machine learning and publish a SAWTI wildfire threat index for real-time risk decisions. Public health builds a digital vaccine smart health card tied to email/phone and tracks equity by Healthy Places Index quartiles, then shifts vaccine allocations when data shows gaps. Major blockers are legacy silos, poor metadata and weak governance; success requires use-case focus, data ownership, catalogs and storytelling to drive adoption.
AI-written summary · about
chapters (14)
- 0:00Introduction and panel overview
- 1:25Data analytics in public health
- 3:32Gas utility infrastructure maintenance
- 5:36Electric utility asset management
- 7:46Wildfire risk mitigation efforts
- 8:52Sustainability and climate equity
- 10:15Key challenges in data integration
- 14:07Data governance and quality
- 17:40Scaling AI across industries
- 21:07Maximizing value from data and AI
- 23:57Data storytelling and cultural change
- 29:12Equitable vaccine distribution insights
- 31:59Careers in data and analytics
- 37:17Closing remarks and Q&A
related talks
30mPanel: Data-Driven Sustainability
22mScaling analytics and AI: It's mostly about culture
50mInnovation and data analytics: Solving real-world challenges
44mManagement of Data Communities
18mUnlock IT Sustainability: Harness Data to Cut Emissions
40mData Leadership: Navigating Security, Governance, and Ethical Decision-Making in the Digitial Skies
14mEffective and efficient cities: why does real-time data hold the key?
14m"Big Data" and Analytics in Government
