Alexander Hendorf - Lessons Learned About Data & AI at Enterprises and SMEs | PyData London 2022
Lessons Learned About Data & AI at Enterprises and SMEs — PyData London 2022
Why do AI and data projects succeed in some companies and stall in others — regardless of size? In this talk from PyData London 2022, Alexander C. S. Hendorf shares lessons learned from advising and building Data & AI initiatives in both large enterprises and small/medium-sized businesses.
The dynamics are surprisingly different. Assumptions that work in a Fortune 500 environment can quietly sink an SME, and vice versa. Alexander walks through the patterns he sees repeatedly: where strategy meets reality, what actually drives adoption, where teams get stuck, and the structural decisions that determine whether AI delivers measurable value or stays in proof-of-concept limbo.
What you'll take away:
How AI adoption dynamics differ between enterprises and SMEs
Common failure patterns — and why they repeat across industries
What "AI-ready" actually requires beyond the tech stack
Pragmatic guidance for leaders navigating their next AI initiative
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About the speaker
Alexander C. S. Hendorf is an independent AI & Open Source strategy advisor, working with leadership teams and engineering organizations from boardroom to code. He helps companies move AI from experimentation into reliable, sovereign systems — drawing on a deep network across the Open Source AI ecosystem and decades of hands-on experience with Python, data, and ML infrastructure.
A long-standing program chair and keynote speaker at international Python and data conferences (PyData, EuroPython, PyConDE), Alexander is a recurring voice on Open Source, Digital Sovereignty, and applied AI strategy.
🌐 Website: https://hendorf.com
🔗 LinkedIn: / hendorf
For AI strategy, Open Source AI, and high-stakes AI advisory engagements: https://hendorf.com
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