Industrial AI
From Breakdown Chaos to IoT Predictive Maintenance
In many manufacturing companies, the maintenance department still operates in a constant state of emergency. When a machine stops, a race against time begins to repair it, causing delays and inefficiencies in production. Implementing IoT predictive maintenance can transform this scenario. Why is maintenance always in emergency mode? Even when a preventive plan exists, it is often ineffective for several reasons: Rigid interventions – based on fixed intervals rather than real machine data. Premature or delayed maintenance – some tasks are performed too early, others only after a breakdown, causing machine downtime. Lack of real-time monitoring – managers have
How to Boost Productivity by Reducing Downtime: A Packaging Industry Case Study
Discover how an Italian SME in the packaging industry transformed its operations—shifting from a reactive to a proactive approach—thanks to the Zerynth platform for machine maintenance monitoring. What was the issue: why was production slowing down? A packaging machinery company in Italy was facing a critical challenge: No real-time visibility on machine status Difficulty identifying prolonged downtime Reactive instead of preventive maintenance Increasing waste of time and resources Production monitoring was entirely manual. The result? Slow decision-making, emergency fixes, and a negative impact on production optimization. How does smart rule-based monitoring work? To increase productivity and reduce downtime, the
Industrial AI Copilot or Conversational Agent? What they are and why they will transform the Industry
In the world of digital solutions for industry, the term "artificial intelligence" is on everyone’s lips. But what does it really mean to apply AI to the context of manufacturing? And more importantly, what is the difference between an Industrial AI Copilot and a simple Conversational Agent? If you’re a CEO, production manager, or industrial consultant, understanding this distinction is essential to optimize production processes, manage predictive maintenance, and leverage IoT and intelligent systems. Industrial AI Copilot vs Conversational Agent: what’s the real difference? In short, an Industrial AI Copilot ensures automation, proactivity, and operational decision-making, while a Conversational
Optimization of Production Processes and Production Progress Management for a Pharmaceutical Company
How to manage operational pauses without losing data? To avoid information loss and data fragmentation, it is essential to accurately track interruptions while maintaining the integrity of work orders even after a pause. In this article, we analyze how a pharmaceutical company overcame this challenge thanks to the Zerynth Platform, an Industrial IoT platform designed to optimize production processes even in the presence of interruptions. Operational context Production cycle interruptions are common during work shifts. In these situations, the operator stops the machine and later resumes the same work order at the same workstation. If these pauses are not
How to get quick answers when production operators don’t respond? Discover Zerynth’s Copilot AI
If your operators on the production lines can’t respond in time, an Industrial Copilot AI like Zerynth’s Zero can do it for you. Zero lets you interact with data in a simple and natural way, turning your factory into a smart digital reality. What do we mean by AI when we talk AI? In recent years, artificial intelligence has become part of our daily lives—in company chatbots, cars, even photo filters. Yet, whenever AI is talked about broadly, especially in public or media contexts, there’s often an undertone of unease. But why?One main cause of fear is uncertainty. AI
