Practical AI, analytics, and agentic automation for supply chain and operations.

Educational material, GitHub-backed examples, and business-facing frameworks for professionals who need analytics and AI to create operational value — not just demos.

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Trust anchors

  • Former university lecturer and industry digital/analytics leader.
  • 18k+ LinkedIn audience.
  • YouTube lecture archive with supply chain, SDG, analytics translator, and AI/analytics material.
  • GitHub repositories used as technical and educational proof artifacts.

Featured topics

Supply Chain Analytics

Map analytics and AI use cases to planning, sourcing, production, risk, and delivery decisions.

SDG Analytics

Learn responsible public-data analysis and visualization using Sustainable Development Goal data.

Analytics Translator 2.0

Bridge business, analytics, IT, AI, process ownership, and adoption in the AI-agent era.

AI Agents in Operations

Choose bounded, reviewable operations workflows before investing time in AI-agent automation.

GitHub proof layer

No technical trust without a repo. The current priority proof artifacts are:

View curated GitHub projects

First free resource

The first planned free asset is the Agent Readiness Checklist for Operations Professionals. It will help operations, supply-chain, and analytics professionals test workflow boundaries, data readiness, human review points, failure modes, and ownership before attempting AI-agent automation.

Status: coming soon / draft for Frank's review. No live download is promised yet.

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Talks and professional education

For selected talks, guest lectures, or professional education inquiries, contact Frank. This route stays secondary to the knowledge hub, registration path, and future knowledge packages.

Talks / Contact


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.