From Data Swamp to Data-Driven
Have you installed sensors and implemented Industry 4.0, but find yourself with millions of unused data points? Find out how to clean up the data swamp and generate real value in your factory.
Micro-machine downtime: How to uncover and resolve the invisible bottlenecks that erode your OEE.
Unrecorded micro-downtimes and delays in passing information between shifts invisibly erode OEE. Find out how AI and Digital Transformation allow you to find and solve them.
The AI Paradox: Models Keep Getting Cheaper, Yet Budgets Keep Rising. How to Control AI Costs Across the Enterprise.
AI models are becoming increasingly affordable, yet companies are spending more than ever. Discover why AI agents can consume up to 30 times more tokens than chatbots—and how to take real control of your AI budget.
Enterprise AI Agents: Why 88% of Projects Never Make It to Production
Gartner predicts that 40% of enterprise applications will include AI agents by 2026. Yet only one in eight projects makes it into production. Here’s what sets the successful ones apart.
Knowledge Loss in Manufacturing: How to Digitize Operators’ Know-How Before They Retire
When a senior operator retires, manufacturers risk losing years of valuable know-how. Discover how Cicero’s AI captures, preserves, and makes industrial expertise accessible across the organization. Knowledge loss is a growing threat to manufacturing efficiency. As experienced operators retire, companies risk losing years of expertise, practical know-how, and undocumented best practices. To preserve this invaluable […]
OEE: what it is, how to calculate it, and how to improve it
OEE measures the actual efficiency of your equipment. But measuring it manually is of little use. Discover how to calculate it automatically and use it effectively to improve production.