AI & BI & DI….oh My!
summary
Claims that AI + BI = decision intelligence and that a platform called High Affinity embeds models into workflows to turn predictions into prescriptive actions. Uses Snowflake + Snowpark, REST SQL API and a serverless front end to run collaborative filtering, price elasticity and clustering at scale and to write activations back to downstream systems. Cites McKinsey’s 20% figure for executive confidence and reached final three from 1,000+ entrants in Snowflake’s 2022 startup competition.
AI-written summary · about
chapters (14)
- 0:00Introduction and opening question
- 1:45Chief customer officer’s challenges
- 3:51Barriers to commercial decision making
- 5:58Data silos and customer experience
- 7:01AI’s role in retail decision making
- 10:10AI’s limitations and silos
- 11:34BI’s strengths and weaknesses
- 13:18Decision intelligence concept
- 15:30How decision intelligence works
- 17:34Practical example of decision intelligence
- 19:20Hypinity’s mission and platform
- 21:50Actionable AI and democratization
- 23:59Validation and use cases
- 25:44Summary and call to action
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