Small Language Models Will Eat Enterprise AI
Gartner predicts task-specific AI models will be used 3x more than general-purpose LLMs by 2027. Why latency, cost, and privacy push enterprises toward SLMs....
Why Multimodal AI Is Massively Overhyped
Multimodal AI sits at peak hype on Gartner's 2025 cycle. But 80% of pilots fail to scale beyond testing....
Mutation Testing Primer: Finding Real Bugs
Mutation testing answers what coverage can't: do your tests actually catch bugs? Learn how to use mutation testing tools to find the gaps in your test suite....
The ASR Privacy Paradox
ASR systems need training data. Training data contains sensitive audio. How federated learning solves the conflict between ML requirements and privacy laws....
Voice to Context to Action: An Operational Framework
From voice to context to action: an operational framework for voice AI that does more than transcribe — it understands and acts....
Why Voice AI Demos Always Work (And Production Never Does)
Voice AI demos work perfectly. Production deployments fail. After a decade building speech systems, here's why the gap exists and how to bridge it....
Blockchain: The Solution Looking for a Problem
Blockchain has been 'revolutionary' for 15 years without revolutionizing anything. Every enterprise blockchain quietly becomes a regular database....
Code Review Is Broken
Code review as practiced by most teams is a bottleneck that provides less value than we pretend. Small PRs, distributed reviewing, and time SLAs can fix it....