· Strategy
The ROI of Edge AI: Shifting Inference from Cloud to Prosumer Hardware
The economic case for deploying local LLMs to eliminate API costs and latency. Why relying entirely on cloud inference is a massive tax on your margins.
From the Front Lines of Tech
Sharing strategic insights and lessons from over 20 years of building scalable systems, leading high-performing teams, and navigating complex technology shifts.
The 2026 Enterprise Stack: Integrating Hardware, Agents, and Strategy
The 2026 Enterprise AI Stack: a reference architecture linking hardware, inference engines, agentic orchestration, and governance into one vertically integrated system.
The Human-as-Orchestrator: Evolving HITL
Designing systems where humans provide strategic intent and override at checkpoints.
Scaling Vector Databases for High-Throughput Text Clustering
Analyzing the bottleneck of bulk clustering and using exact-match caching to reduce index compute load.
Embedding Caching: Production Text Clustering via HDBScan
Embedding caching for production: pair LRU semantic caching with incremental HDBScan for ultra-low latency real-time text clustering.
· StrategyNIST AI RMF in Practice: Governance as a Growth Driver
Flipping the script on compliance to accelerate time-to-market by pre-clearing security.