Deep dives into Agentic Workflows, distributed systems, and the architectural rigor required to move AI from experimentation to enterprise-grade production.
A practitioner guide to neuromorphic edge AI: hardware choices, event-driven pipelines, governance, and observability for production-grade autonomous agents.
Practical guide to agentic routing for sustainable logistics, blending edge agents, real-time telemetry, and auditable emissions governance to cut carbon while preserving service.
A practical blueprint for architecting agentic digital twin workflows that coordinate data, simulations, and control actions for safe, auditable virtual commissioning.
A practical, architecture-first guide to deploying agentic AI across edge, fog, and cloud for predictive maintenance in Industrial IoT, emphasizing governance and observability.
Practical guide to real-time line balancing with AI agents, detailing edge-centric architecture, governance, observability, and deployment patterns to boost throughput and OEE.
Practical, production-focused guidance for reducing cost-to-serve in complex logistics through multi-agent coordination, data contracts, governance, and observable metrics.