Automation with AIoT
Make decisions faster with AIoT
Equipment manufacturers are at a pivotal junction where the convergence of IoT and AI creates unprecedented opportunities to transform their business. While IoT connections have provided visibility into equipment operations for years, the integration of artificial intelligence elevates this capability by turning raw operational data into actionable intelligence.
Explore practical AIoT use cases that enhance product offerings, create new revenue streams, and deliver greater value to operators through intelligent, connected equipment.
With our new IoT platform boosted by machine learning it’s not just about smarter solutions, it’s also about our own smarter processes. Our team needs to monitor 25 or more clients and our workforce is already overloaded—which is why we use machine learning to continually improve efficiency—for our customers and ourselves. It’s a win-win.
Jair Junior
Automation Projects Manager
Mayekawa Mycom
Remote monitoring and diagnostics
Connected equipment continuously transmits operational data to cloud platforms where AI algorithms monitor performance, detect anomalies, diagnose issues, and guide technicians toward resolution. At the most advanced stage, AI analyzes production data and current conditions to identify optimal parameters and make real-time adjustments.Vision AI
Computer vision paired with AI enables automated visual inspection at scales and speeds impossible for human operators. Cameras capture images of products during manufacturing while AI algorithms analyze these images in real-time to detect defects, variations, or quality issues.Predictive maintenance
Predictive maintenance represents one of the most valuable AIoT applications for equipment manufacturers, enabling the shift from calendar-based to condition-based maintenance strategies. Sensors monitor equipment parameters (vibration, temperature, acoustic emissions, etc.), while AI algorithms analyze patterns to detect anomalies and predict potential failures before they occur.Logistics
AIoT allows supply chains to be monitored in real time, predicting bottlenecks or delays. This is particularly valuable in times of global uncertainties threatening supply chains. AI can optimize transport routes, manage inventory efficiently, and reduce operational costs.
Want to learn more about how AIoT is transforming industry?
Learn more about how organizations like yours are using AIoT to improve operations, speed decision-making, and introduce new business models to their customers.
