The AI industry has a glamour problem. Conference talks are about parameter counts and benchmark scores. Venture capital pitches are about artificial general intelligence. But when you sit down with a Chief Actuary or a Head of Compliance, the conversation is about something completely different: auditability, data privacy, and whether the system will hallucinate a regulatory filing.
In this episode, Ari Joury (PhD, particle physics; Founder & CEO of Wangari Global) makes the case that the most valuable skill in enterprise AI today is not the ability to train a model — it is the ability to operationalize one. He goes deep on orchestration patterns, decision-grade evaluation, and governance architecture, drawing on research from MIT Sloan, Google Brain, and his own experience building causal AI systems for the insurance industry. If you want to understand what actually separates a fragile prototype from a production-grade AI system, this episode is for you.
Topics covered: AI orchestration, LLM evaluation, golden datasets, AI governance, enterprise AI deployment, agentic workflows, causal AI, Solvency II, IFRS 17, AI systems engineering, production AI, MLOps.
Wangari is the newsletter and podcast for practitioners and leaders navigating the real work of enterprise AI. New episodes every Friday.
Check out my new course From Demo to Production at the GenAI Academy
For further inquiries & demos, here you go: https://wangari.global/contact
