Agentic AI in operations needs credibility before capture forms.
Frank Kienle's public homepage now routes visitors to useful content first: LinkedIn-quality thinking, YouTube lecture proof, GitHub-backed examples, and resource sheets for AI agents in regulated operations. Registration and email capture stay secondary until the public trust loop is strong enough.
- Former university lecturer with reusable teaching assets
- 18k+ LinkedIn audience; quality over AI slop
- YouTube lecture archive as public proof
- GitHub repositories and HTML artifacts as inspection layer
Make coordination work visible before pretending agents can automate it away.
The current content focus is not a login area. It is a public argument: agents may reduce routine coordination loops, but they make decision ownership, validation, and review gates more important in regulated operations.
Supply Chain Analytics
Map analytics and AI use cases to planning, sourcing, production, risk, and delivery decisions.
Analytics Translator 2.0
Bridge business, analytics, IT, AI, process, and adoption in the agentic era.
SDG Analytics
Keep the education archive useful for responsible data analysis and sustainability contexts.
Interesting generated content should not disappear into local folders. The homepage now exposes high-signal resources and proof artifacts while keeping any confidential or employer-specific material out of the public site.
For selected talks, guest lectures, or professional education inquiries around analytics translation, digital operations, agentic AI, physical AI, and regulated operations, reach out directly.
Personal educational content by Frank Kienle. Views are personal. Examples are based on public, educational, historical, or synthetic material unless stated otherwise. No employer-confidential, customer-confidential, or supplier-confidential information is shared.