Why 80% of Enterprise AI Fails ROI
Evidence-based analysis from $500M+ in Fortune 100 deployments reveals why most AI projects fail to deliver measurable ROI — and how to avoid them.
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Run ROI Calculator →Analytical, evidence-based field notes on AI failures, patterns, and governance. Public record of observed patterns across enterprises. This is a warning, not a pitch.
Evidence-based analysis from $500M+ in Fortune 100 deployments reveals why most AI projects fail to deliver measurable ROI — and how to avoid them.
Evidence from Fortune 100 deployments shows that causal inference frameworks prevent $2M+ in wasted AI pilots by separating correlation from causation.
From weeks of spreadsheet analysis to minutes of data-driven optimization. How nature-inspired algorithms solve the impossible balance of competing priorities and limited resources.
Architectures, evaluation, and governance—minus the hype. Real production patterns for building reliable AI agents.
Map your experience to credible AI roles and outcomes. How to position your analytics background for AI leadership.
Guardrails, monitoring, and risk controls that leaders trust. Building AI systems that scale safely.
How to document AI systems so anyone can trace claims to their sources. Building credibility through transparency.
Evidence-based analysis of real AI deployments. The difference between AI theater and AI that delivers ROI.
Why proprietary data still wins. How companies like Nubank are building unbreakable AI advantages.
Technical deep dive on retrieval-augmented generation. Production patterns from Coinbase and Stripe deployments.
How to measure AI impact credibly. Building business cases that executives understand and believe.
Risk management patterns for financial services and healthcare. How RBC and traditional banks are winning with AI.
What worked, what didn't, and what's next
80% of AI projects still fail, but the 20% that succeed deliver 2.56×+ ROI
From individual contributor to executive strategy
Your experience in analytics, ML, or engineering is valuable—you just need to frame it correctly
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