How to build a successful AI practice in Insurance and Government organization?
summary
Workplace Safety and Insurance Board runs a small 20-person team that supports 320,000 businesses and handles about 210k claims/year for 4.8 million workers, and builds ML systems using NLP, RPA, OCR plus predictive models and process mining. Strategy emphasizes vision → mission → value proposition, aligns with Canada’s digital charter, and requires data governance, change management and vendor-aware procurement. Pipeline converts ~50% of opportunities to models and under 10% to deployed production, with talent shortage, bias detection and legal liability as the main blockers.
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chapters (12)
- 0:00Intro
- 0:57Workplace Safety & Insurance Board of Ontario WSIE
- 3:49AI Adoption in Industry
- 6:14Alin Public Sector: Opportunities & Challenges
- 14:49Ethical Al Considerations for Public Sector
- 19:02Ethical Al Framework for Public Sector Leaders
- 21:13Canada's Digital Charter in Action
- 22:12Building an Al Strategy
- 24:57Our Vision & Mission: WISB as an Insight-Driven Organize
- 25:34Al Value Proposition at WSIB
- 26:15Analytics Framework at WSIB
- 27:04Skills & Capabilities at WSIB
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