Gülbahçe Mah. Gülbahçe Cad. İYTE Teknopark B2 Binası no:1/48 iç kapı no:15 Urla/izmir
Gülbahçe Mah. Gülbahçe Cad. İYTE Teknopark B2 Binası no:1/48 iç kapı no:15 Urla/izmir
Through Mechanica, as you experience a project in the field of industrial artificial intelligence (AI), you can directly observe how technology is applied in production and in your factory. This experience is valuable for learning both the potential of artificial intelligence in industrial fields and how these technologies can be integrated into business processes. Industrial artificial intelligence plays a critical role in increasing efficiency, reducing costs, and minimizing errors.
Industrial artificial intelligence solutions require the convergence of different disciplines. Working with professionals from diverse fields, including software developers, data scientists, mechanical engineers, industrial engineers, and field technicians, significantly enhances teamwork and synergy within MECHANICA. Moreover, these collaborations guarantee that projects are executed with greater efficiency.
Industrial artificial intelligence projects are typically developed for a specific problem or opportunity. When working in a company, understanding customer needs and identifying the problems in the initial stage is a critical step. This process includes various industrial goals such as increasing efficiency, reducing machine failure rates, and optimizing energy consumption.
Data, which is the backbone of industrial artificial intelligence, usually comes from sensors, production lines, ERP, MES, and IoT devices. During the company experience, you frequently encounter processes such as collecting, managing, and cleaning this data. Data quality is an important factor that determines the success of the developed artificial intelligence models. The company may use big data technologies and cloud-based infrastructures to manage these processes.
One of the most important steps in this field is developing machine learning models for prediction, classification, and optimization using the collected data. For example, developing models that can predict the likelihood of machines breaking down on a production line is a significant industrial artificial intelligence application.
Industrial AI solutions often require making real-time decisions. Systems that work with continuous data flow from sensors must have the capacity to process instantly and make accurate decisions. At this point, predictive maintenance solutions step forward. Companies optimize maintenance processes and minimize production breakdowns by predicting machine failures in advance.
Industrial AI projects primarily focus on optimizing processes. You can benefit from our Industrial AI solutions in areas such as making production processes more efficient, optimizing energy consumption, or improving logistics processes. AI-powered optimization solutions help reduce costs and maximize resource utilization.
Our AI-based solutions for optimizing industrial production processes make your business more efficient at a lower cost by developing more systematic and planned approaches.
