{"id":23474,"date":"2025-08-21T10:23:51","date_gmt":"2025-08-21T08:23:51","guid":{"rendered":"https:\/\/tepconold.wordpress-programmierung.com\/wissen\/ai-in-industry-and-production\/"},"modified":"2025-10-01T07:10:30","modified_gmt":"2025-10-01T05:10:30","slug":"ai-in-industry-and-production","status":"publish","type":"wissen","link":"https:\/\/tepconold.wordpress-programmierung.com\/en\/knowledge\/ai-in-industry-and-production\/","title":{"rendered":"AI in industry and production"},"content":{"rendered":"\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t

Artificial intelligence: how AI is revolutionizing industry and production <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

Whether for the precise monitoring of machines, the intelligent control of robots and vehicles or the optimization of energy consumption – the importance of artificial intelligence (AI) for industry is growing rapidly. Over 40 percent of industrial companies in Germany are already using AI in production. A further 35 percent are planning to use it. <\/p>

An overwhelming majority of companies are convinced that AI will be decisive for the competitiveness of the German economy in the future. At the same time, almost half of those surveyed warn of the danger of oversleeping the AI revolution. <\/p>

Industry 4.0 networks people, machines, systems, products and processes into a dynamic unit. Artificial intelligence is the key driving technology here: it analyses huge amounts of data, recognizes patterns, reacts in real time and controls complex processes independently. <\/p>

From predictive maintenance and automated quality control to intelligent supply chains – the potential applications are diverse and extend across all industries.<\/p>

The role of AI applications is already revolutionary – reason enough for us to take a closer look at the topic of artificial intelligence in a separate knowledge text.<\/p>

Find out below how AI is being used in industry today, what the benefits and challenges are and how digital work instructions with the tepcon instructor and instructor AI can make your production processes future-proof.<\/p>

Are you in a hurry? Click here to go directly to our product<\/a>, the tepcon instructor! <\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\"\"\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t

AI in the industry<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

Definition at a glance:<\/strong><\/p>

Artificial intelligence is a branch of computer science that enables systems to solve tasks that normally require human intelligence – such as perception, learning, decision-making and problem-solving.<\/p>

In industry, AI has evolved from a research topic to a living reality. While the first use cases mainly took place in laboratory environments, today almost all areas of the value chain are affected: from product development to production and logistics. <\/p>

The role of AI in industry is far more than automation: it enables systems that make decisions independently based on data, optimize processes and adapt to new conditions. Machines learn to predict errors, robots adapt their movements dynamically and entire factories react flexibly to fluctuations in demand. <\/p>

The development is rapid: driven by growing computing power, improved AI technologies and the ever-increasing availability of data volumes, the importance of artificial intelligence in industry has multiplied in a very short space of time.<\/p><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

\n\t\t\t\t
\n\t\t\t\t\t

AI systems and their possibilities<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

Modern AI systems offer a variety of technologies and methods that make manufacturing processes more efficient, flexible and predictive.<\/p>

Modern companies are increasingly relying on machine intelligence because the potential is huge. Various methods offer solutions, depending on the industry, application and problem. Anyone who deals with AI industry applications will often stumble across certain terms. <\/p><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

\n\t\t\t\t
\n\t\t\t\t\t

Machine learning<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

Machine learning is a core area of artificial intelligence (AI). It enables systems to learn from data, recognize patterns and make predictions – without being explicitly programmed for each task. In production, for example, machine learning can be used to optimize processes, for quality control or for fault diagnosis. <\/p>

Example: An ML algorithm (machine learning algorithm) continuously analyzes sensor data from systems, detects deviations and makes suggestions for preventive measures.<\/p><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

\n\t\t\t\t
\n\t\t\t\t\t

Predictive maintenance<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

Predictive maintenance is one of the best-known use cases for AI in industry. AI systems use real-time data and historical values to calculate the optimum time for maintenance work. This reduces downtime, cuts costs and extends the service life of machines. <\/p>

This offers an opportunity for cost savings and predictability: instead of expensive emergency repairs, maintenance can be planned. Industrial companies gain planning security and increase their productivity. <\/p><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

\n\t\t\t\t
\n\t\t\t\t\t

Edge Computing<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

Edge computing refers to the processing of data directly where it is generated – at a machine or sensor, for example – instead of first sending it to a central data center. In combination with AI software, this enables an extremely fast response in time-critical production processes. <\/p>

Advantage: In factories, robots or systems can react to changes in milliseconds, without delays caused by long data transmissions.<\/p><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\"\"\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t

AI applications - with artificial intelligence into Industry 4.0<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

Industry 4.0 stands for the complete networking and digitalization of production. AI applications are the engine that enables the intelligent control of processes. <\/p>

Artificial intelligence enables companies to improve their product quality, reduce waste and increase efficiency at the same time. Data volumes generated by sensors, production systems and digital twins provide the basis for intelligent systems. <\/p>

The importance of AI technologies is particularly evident in the area of human-robot collaboration: robots are becoming capable of learning, adapting flexibly to new products and working safely alongside humans.<\/p>

Fields of application that are already being used in many companies today are, for example:<\/p><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t