Post-Digital Shift: Exponential Business Models for Precision Decisions at Scale
summary
Claims that 70% of mission-critical data lives outside the organization and that businesses must make milliseconds-scale precision decisions to enable new revenue models. Uses concrete examples: Domino’s digital ordering and supply-chain feedback to explain why Domino’s became the top-performing stock since 2010, and an IoT toaster that yields preventative maintenance, product analytics and a toaster-as-a-service subscription model. Quantifies risk: an eight-week recall costing $8B versus days of mitigation, and prescribes AI/ML, streaming data and real-time decisioning as the operational tools.
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chapters (26)
- 0:00Intro
- 0:36Challenges
- 2:05Data Decisions
- 3:39Business Scenarios
- 5:14AI ML
- 6:27Mass personalization
- 6:54Dynamic pricing
- 7:42Regulatory compliance
- 8:22Risk mitigation
- 9:35Speed
- 10:08Design
- 10:45Business Industry Ready
- 11:25Contextually Relevant
- 12:03Flexible Architecture
- 12:23Security
- 12:46Examples
- 12:57Question
- 13:38Dominos Pizza
- 15:00Warranty Card
- 18:32Data Driven Business
- 19:13Next Gen
- 20:13Data Sources
- 20:29Data Proficiency
- 21:01Connecting to the Right People
- 21:13Visualization
- 23:11Outro
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