The Ambient Intelligence Paradox
Why the most powerful AI systems will be the ones we notice least. Exploring the infrastructure requirements for truly seamless human-AI interaction.
Thoughts on building intelligence systems, infrastructure strategy, and the future of human-AI collaboration
Why the most powerful AI systems will be the ones we notice least. Exploring the infrastructure requirements for truly seamless human-AI interaction.
A framework for building decision-support systems that transform organizational noise into actionable intelligence. Published in Harvard Business Review.
Technical deep-dive into the architecture patterns that enable large-scale coordination without centralized control. Case studies from IoT deployments.
Moving beyond static org charts to dynamic, responsive leadership structures that adapt to complexity in real-time. A new model for distributed decision-making.
Emerging patterns in how humans and AI systems collaborate effectively. Research findings from 50+ product teams implementing AI-first workflows.
Why the most successful products start with infrastructure decisions, not user features. A methodology for building products that scale with complexity.
How we built a decision-support platform that processes 50M+ daily signals. Technical architecture, lessons learned, and performance metrics.
Why traditional management structures are incompatible with AI-augmented organizations. A vision for adaptive, intelligence-driven leadership.