Sanpad at a glance

Sanpad Group came into existence with the aim of operating in the field of software. The main difference between Sanpad and other software companies is that the development team is located at the customer's site and all activities from the time of identification of processes to the time of development and Delivery occurs at the customer's location and with the customer's approval and consent. Therefore, Sanpad is not a software package provider. Sanpad produces software according to the customer's order and in full compliance with the customer's needs.

The long-term perspective in research, production, supply and support is one of our strategic attitudes, an attitude that, as evidenced by what has been done, has brought expertise to Sanpad Group and satisfaction to its customers.

At Sanpad, our motto is to provide 100% of your software needs with 100% compatibility, all conveniently located right next door to you.

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Sanpad High Tech Services

Data Science and Machine Learning
Here are some key things that we focus: * Programming by Python & R * Statistics * Linear algebra * Data manipulation * Data visualization * Supervised learning * Unsupervised learning * Neural networks * Convolutional neural networks
Industry 4.0
While many companies are looking to adopt Industry 4.0 in their operations, this new technology can help them out in more ways than one. By improving efficiency and reducing costs, it is possible to create a more attractive workplace for younger people. It can also help with recruiting because many manufacturing firms are dealing with a labor shortage. Furthermore, it can help existing employees, as well. Machine learning helps operators to leverage digital technology to become more efficient. The concept of Industry 4.0 is a broad term that encompasses a range of applications, all focusing on flexibility, competency, and real-time self-optimization. The goal is to automate complex tasks, such as manufacturing while maintaining high-quality standards. Its applications are focused on product development and manufacturing, and the main challenges include fault detection and prediction. By utilizing Machine Learning algorithms to analyze data, manufacturers can reduce downtime and maximize efficiency. Industry 4.0 also involves the use of artificial intelligence and machine learning to help companies achieve their goals. Combined with advanced manufacturing technology, these technologies can help manufacturers improve their productivity and improve their environmental impact. With a comprehensive understanding of these technologies, manufacturing can create the most efficient and productive environment possible. Automation is the foundation of Industry 4.0, and it can be used to streamline and improve a variety of processes. Intelligent manufacturing requires a seamless cyber-physical ecosystem, and machine learning and AI are integral to this goal. ML can improve manufacturing efficiency by generating actionable intelligence. By analyzing vast amounts of data, ML techniques can help manufacturers improve their production processes, reduce the number of defects, and increase the speed of production. This technology can even make production more efficient by determining complex patterns in manufacturing. As a result, it can create an intelligent decision support system for manufacturing. ML can help companies overcome the major issues and improve their quality of output and customer satisfaction. One of the biggest benefits of machine learning is its ability to predict when a machine needs maintenance. With the ability to predict when a machine is due for maintenance, machine learning can proactively schedule maintenance tasks to ensure that they are completed before a potential downtime occurs. Machine learning can also launch a maintenance schedule around a machine’s need, avoiding costly fire drill service calls. These are just a few of the many ways in which machine learning can help companies reduce costs.