Thoughts on AI product management, automotive technology, and building great products. Practical perspectives from 15+ years in the industry.
The role of product manager is evolving faster than ever. In 2026, AI fluency isn't optional—it's essential. Here's what separates successful AI PMs from those left behind.
Forget the race to build bigger models. In 2026, the smartest enterprises are deploying smaller, specialized language models that run faster, cost less, and perform better for specific tasks.
The factory floor is becoming intelligent. Edge AI enables real-time quality inspection, predictive maintenance, and autonomous operations—but getting from pilot to production requires careful architecture.
Gartner predicts 60%+ of enterprises will adopt open-source LLMs by 2026. Here's what you need to know about Llama, Mistral, Qwen, and the open-source ecosystem—from selection to deployment.
The EU AI Act's high-risk requirements take effect August 2, 2026. Fines reach €35 million or 7% of global turnover. Here's exactly what you need to do—and when.
Your RAG demo works perfectly. Production is a disaster—hallucinations, slow responses, costs spiraling. Here's how to build RAG systems that actually work at scale.
Everyone's talking about AI agents. Your board wants an 'agentic AI strategy.' But most agent deployments fail. Here's how to build production agents with proper guardrails.
Exploring how the automotive industry can leverage collective intelligence and open collaboration to accelerate SDV development and innovation.
A comprehensive look at how the automotive industry is transforming through software-defined architecture and what it means for the future of mobility.
How product management practices must evolve to address the unique challenges of AI and Web3 technology startups.
How digital platforms are enabling new forms of innovation and value creation in the software-defined vehicle ecosystem.
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