Industrial digitalization is advancing rapidly, and more and more machinery manufacturers now have connected equipment capable of sending real-time information about its operation.
However, we realize that collecting data is only the first step. The real value appears when this information is properly analyzed and transformed into useful knowledge to improve operations, anticipate incidents, and make faster decisions.
With this objective, Awayter Connect incorporates a new Analytics and Artificial Intelligence module, designed to interpret the data generated by machines using advanced machine learning models and data analytics.
AI enables machine data to be transformed into real business value
Many companies already use artificial intelligence to optimize their own organizations: automating tasks, improving productivity, or increasing operational efficiency. An approach that generates internal value.
However, there is another opportunity that some companies are still not taking advantage of: using AI to generate direct value for the customer. Artificial intelligence applied to industrial machinery enables predictive maintenance, greater insight into the real use of equipment, improved technical service, and the development of new digital services.
In short, it is a way to transform machine data into tangible value for the customer.
AI applied to IoT data: From initial consulting to solution implementation
At Awayter we work in three clearly defined phases to implement our IoT Platform Awayter Connect with integrated AI.
-
Strategy definition and identification of value opportunities
• Analysis of available data from machines or additional sensors.
• Identification of high-impact use cases (maintenance, efficiency, service).
• Prioritization of use cases based on value and feasibility. -
Deployment of the technological foundation and IoT infrastructure
Integration of sensors and IoT systems. Development and implementation of the IoT platform. Preparation of data for training AI models. -
Development of applied AI solutions
• Development of artificial intelligence models.
• Pilot testing (PoC) and MVP development.
• Scaling to production and deployment for customers.
Industrial IoT platform with AI
Automatic anomaly detection and predictive maintenance
One of the main use cases of AI applied to industrial machinery is automatic anomaly detection.
In many industrial environments, machine failures are detected once they have already occurred or through periodic inspections. This can lead to: unexpected production downtime, high maintenance costs, and difficulty detecting abnormal behavior in time.
The AI module of Awayter Connect continuously analyzes data from sensors to identify deviations from the machine’s normal behavior. This enables: automatic anomaly detection, generation of intelligent alerts, identification of potential failures before they occur, and reduction of unplanned downtime.
In this way, manufacturers can move towards more efficient predictive maintenance strategies.
Smart chat for querying machine data
Another innovation of the AI module is the incorporation of a smart chat that allows machine data to be queried using natural language.
In many cases, locating specific information can be complex and time-consuming. Thanks to the integration of AI in Awayter Connect, manufacturers and customers can interact directly with machine data through questions such as:
• What alarms have occurred today?
• How has production evolved this week?
• Has any anomaly been detected in the equipment’s behavior?
The system generates contextualized responses based on data, documentation, and the machine’s history, facilitating access to information and reducing dependence on technical support.
Automatic operation optimization
Many industrial installations face challenges related to energy management, such as high and volatile energy costs; low flexibility of thermal systems; limited integration of renewable energy and storage; or limited use of flexibility in electricity markets.
Awayter Connect enables real-time energy optimization, using artificial intelligence to decide when to consume energy, store it, or provide flexibility to the system.
The platform integrates industrial equipment, IoT systems, and energy markets to: optimize equipment operation, reduce energy costs, and decrease emissions.
Applying AI to IoT data enhances value for both manufacturers and customers
The integration of artificial intelligence into our IoT Platform, Awayter Connect, opens new opportunities for machinery manufacturers and their customers. On the one hand, manufacturers can develop new business models based on digital services, improve after-sales service, and access real data on machine usage.
On the other hand, customers gain greater control and traceability of their equipment, improve the user experience, and reduce maintenance costs.
The combination of industrial IoT and artificial intelligence makes it possible to move toward models in which the machine is no longer just a product, but becomes a platform for intelligent services.
