Why Your Company’s Data Infrastructure Should Be Built for Machines First
Leading companies like Siemens, Toyota, and Hugo Boss are embracing machine-first data infrastructure and FAIR data principles to future-proof their operations and unlock the full potential of AI. By designing data systems that are structured, interoperable, and built for automation, these organizations are transforming industries—from manufacturing to fashion to healthcare. Learn how adopting the Fourth Paradigm’s approach to data can give your business a strategic edge in the age of intelligent systems.
Delta Airlines Predictive Maintenance Use Case
Delta Airlines Predictive Maintenance Use Case
Why AI Agents Still Stumble (and How Humans Can Help Them Fly)
In Episode 34 of Tool Use, Dexter Horthy, CEO of Human Layer, breaks down why AI agents still struggle with simple tasks and how keeping humans in the loop is the key to making them safe, reliable, and production-ready. From building “outer loop agents” that proactively ask for human approval, to designing micro-agents with clear prompts, structured outputs, and context-aware workflows, Dexter shares a practical playbook for agent builders who want to move beyond hype and create real value today. Whether it's Slack messages, email prompts, or voice approvals, the future of AI isn’t hands-free — it’s human-aware.