WashU Olin’s Center for Analytics and Business Insights (CABI) hosted Andy Sweet and Shanti Greene from AnswerRocket for a candid Lunch & Learn on what it really takes to succeed with enterprise AI.
Key Topics Covered:
- Why 95% of generative AI projects fail (and how to avoid common pitfalls)
- The difference between shadow AI and strategic AI implementation
- Real case studies: diesel pricing, benefits administration, construction bidding
- Building self-funding AI roadmaps that generate ROI
- When to use LLMs vs. traditional ML models
- Organizational change management for AI adoption
- Ethical considerations and guardrails for customer-facing AI
Perfect for: CTOs, data science leaders, business executives, and anyone responsible for AI strategy and implementation in mid-to-large enterprises.
Recorded at Washington University’s Center for Analytics and Business Insights (CABI) – 90 minutes of actionable insights from practitioners who’ve successfully deployed AI solutions across multiple industries.
