Practical perspectives on AI, automation, and digital transformation — written by engineers and strategists who ship production systems, not slide decks.
Multi-agent systems are moving from research labs to production. Here's how to prepare your organisation before competitors do.
Monitoring, evaluation, and guardrails — what good looks like in real-world LLM deployments that actually stay healthy.
Data residency, consent flows, model cards — everything a German enterprise must get right before shipping AI to users.
Before you build AI, you need infrastructure that supports it. What cloud-native readiness actually means for growing SMBs.
Practical entry points for mid-market companies. A step-by-step guide from spreadsheets to AI-ready data infrastructure.
Beyond sensors and connectivity: how AI is transforming production lines, quality control, and supply chain resilience.
Most AI customer service implementations fail because they replace humans instead of empowering them. The architecture that works.
A decision framework for choosing between robotic process automation, intelligent process automation, and autonomous AI agents.
Most SMBs sit on a goldmine of data they can't access. The practical roadmap to AI-ready data infrastructure — without an enterprise budget.
Containers give you control; serverless gives you scale. Here's how to decide based on your actual inference patterns and team size.
AI systems process enormous volumes of personal data. What you need for GDPR-compliant AI deployment from day one.
Automation isn't eliminating jobs — it's compressing the work. How forward-thinking companies are redesigning roles around AI.
Practical AI and automation perspectives for business leaders — delivered fortnightly. No fluff, unsubscribe anytime.