Operationalizing AI for business impact
summary
Industry analysis catalogs 42 Looking Glass trends and reports an 80% failure rate for AI projects with claims that up to 90% of GenAI POCs stall before usefulness. Practical remedies: curate data, build run 5–10 test suites to observe probabilistic outputs, add guardrails and LLM-based judges, adopt LLMops, watch cost to avoid bill shock, follow lean product patterns—one example shipped an employee assistant for PEXA in 8 weeks in a regulated context.
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chapters (10)
- 0:00Operationalizing AI
- 1:12AI project failure rates
- 2:17AI deployment challenges
- 3:22Evaluating AI systems
- 4:44AI technology landscape
- 5:47AI expectations mismatch
- 6:49LLM ops and AI engineering
- 7:34AI deployment strategies
- 8:14AI costs and substitution myth
- 9:20Pexa lean AI case study
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