Artificial Intelligence

definition

artificial intelligence (abbreviated KI) is the transfer of human intelligence to machines. artificial intelligence thus replicates human characteristics such as logical thinking, planning or communication. AI systems can independently learn from data sets, identify relationships from them, and derive conclusions or decisions.

Forms of artificial intelligence

Machine learning (also machine learning) is part of artificial intelligence, which deals with the development of models of how machines can independently learn from data and make predictions independently. In this area of artificial intelligence Patterns in the data should be identified and predictions made from them by the AI.

Deep learning (also deep learning) is also part of the field of artificial intelligence. This form of AI is subordinate to machine learning and deals with complex networks. In large data sets, this sub-area of artificial intelligence Recognize patterns and independently improve the structure within them. This method is often considered the most important in the area of artificial intelligence because the AI systems can solve complex issues due to the replication of human cognitive abilities.

Research and influences of artificial intelligence

Through the artificial intelligence Not only are findings obtained that are relevant to other areas of research, such as neuroinformatics. The results and experiences from other sciences are also included in the investigation of AI itself. These include mathematics or logic as well as neuro and psychology, communication science or linguistics. After all, the corresponds to artificial intelligence an open space for research that brings various subject areas into context, even if they do not own it of their own accord.

Everyday examples of artificial intelligence

The areas of application of AI are diverse. Especially in everyday life, artificial intelligence widely used, even if you don't want to accept it directly. Virtual assistants and chatbots are therefore the most obvious. But also use search engines, translation tools, Google Maps or facial recognition on a smartphone Artificial intelligence. Autonomous driving and virtual and augmented reality are also made possible by AI and will be an integral part of it in the future.

Special area of application of artificial intelligence: food retail

One important area of application for artificial intelligence is food retailing. Here, AI can be used, for example, to automate orders and optimize the ordering of food quantities. Artificial intelligence in food retail offers a whole range of benefits, such as:

• optimal availability of goods
• a return optimization
• more sustainable production
• to reduce food waste

In this way, logistics and the efficiency of production planning along the supply chain are also improved.

What is the significance of artificial intelligence for SMEs?

artificial intelligence has become an important tool for medium-sized companies to increase their competitiveness. AI technologies enable these companies to optimize their business processes, reduce costs, and open up new business opportunities. By using AI, medium-sized companies can increase their efficiency and react more quickly to constantly changing market requirements. The areas of application are diverse and include automated accounting, predictive maintenance of machines, intelligent customer service solutions and personalized marketing strategies. Software-as-a-Service (SaaS) solutions are particularly attractive for SMEs because they are not only cost-effective but also easy to implement.

Examples of the use of AI in SMEs

There are numerous examples of the successful use of AI in SMEs. For example, a company in the manufacturing industry could use AI-controlled robots to optimize the production line and carry out quality controls. In retail, medium-sized retailers could use AI-based inventory management systems, analyze sales data and create a sales forecast to avoid excess or underinventory. Another use case is the use of chatbots in customer service, which are available around the clock and answer frequent customer inquiries efficiently, thus relieving the workload of human employees.

How is AI used in the food sector?

In the food sector, offers artificial intelligentsia diverse applications, ranging from production through the supply chain to sales.

• In agriculture, AI systems help monitor and optimize harvesting processes through the use of drones and sensors that analyze soil quality and weather conditions.
• In food processing, AI algorithms can improve quality assurance by monitoring production data in real time and immediately identifying deviations.
• In retail, AI-based analyses enable a more accurate prediction of buying behavior and a personalized approach to customers, which leads to better inventory and increased sales figures.
• AI also plays an important role in reducing food waste: Precise inventory and demand forecasts can avoid overstocks and thus food waste by ensuring optimal availability of goods.

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