Search engines like Google or Bing have long been the secret heroes of our everyday lives. It is not for nothing that the term “googling” has made it into the Duden dictionary as a synonym for “researching”. Search engines use artificial intelligence to deliver the most relevant search results for you using trained algorithms. Who would have thought that the majority of us probably work with AI on a daily basis?

Our popular voice assistants Siri, Alexa and Google Assistant also use artificial intelligence to respond to our voice commands and help us with various tasks. Whether we are asking for the weather, setting an alarm or searching for information, voice assistants use trained algorithms to recognise our voices and provide the right answers or actions.

Chatbots are another example of the use of artificial intelligence in everyday life. They are virtual assistants who we can communicate with via text messages. Companies such as Amazon, Apple and Facebook are already successfully using chatbots in various areas, such as customer service, to answer questions or offer support. These clever programmes use artificial intelligence to have human-like conversations and respond to specific requests. They are trained using algorithms to understand natural language and generate the appropriate responses.

Personalised recommendations are another area where artificial intelligence is being successfully used. Many companies use algorithms and AI models to make tailored product suggestions. You may have experienced being recommended products on online shopping sites (e.g. Amazon) based on your preferences and past purchases. These personalised recommendations are made possible by analysing user data and learning from past interactions. The goal is to provide you with a personalised and individual shopping experience.

Language translation is a notable application of artificial intelligence in everyday life. Thanks to advanced technologies, we can now translate entire texts from one language to another in real time. These tools use artificial intelligence to analyse language, recognise patterns and then generate an accurate translation. At tolingo, we also already use AI for our translations. AI translations, aka smart translations,always involve interaction between artificial intelligence and professional translators.

For a high-quality AI translation, it is advisable to have it proofread afterwards.

Smart home refers to a networked and automated home that is controlled with the help of artificial intelligence and intelligent devices. Many households already have smart devices such as thermostats, lighting systems or security cameras. These can be controlled with AI and even communicate with each other.

Well-known examples of smart-home systems are Amazon Alexa and Google Home, which serve as voice assistants and enable the control of networked devices. With the help of artificial intelligence, smart homes can learn our habits and preferences and automatically adapt to maximise our comfort and energy efficiency. For example, you can dim the lights, regulate the room temperature or remotely control household appliances with your voice. A smart home can simplify our everyday life, improve energy efficiency and create a modern and connected living environment.

There are numerous companies that are already successfully using artificial intelligence in their everyday business. The best-known include Google, Amazon, Microsoft, and Apple.
Google uses AI in various areas such as search engines, voice assistants and personalized recommendations.

Amazon also has an AI voice assistant and uses AI for personalized recommendations on its e-commerce platform, among other things.
In addition to its voice assistant, Microsoft also offers AI-based solutions for other companies.
At Apple, the iPhone's facial recognition function is an AI that is worth mentioning in particular, alongside perhaps the most famous voice assistant, Siri.

Of course, these are only a few examples of companies that use AI support. Many more companies are already using artificial intelligence to improve their services and products, optimize the user experience and offer innovative solutions.

Many companies already use automatic text and image generation with the help of AI. This can be helpful, for example, when creating product descriptions and promotional materials. Text and image generation are fascinating applications of artificial intelligence that are becoming increasingly important. AI models can use neural networks to analyze large amounts of data and generate new texts or even images. This technology is used in a number of different areas, including the automatic creation of product descriptions, the generation of individual text content for marketing purposes and the creation of creative texts in art and literature.

In image generation, AI can be used to create realistic images or modify existing images. These advances in text and image generation open up new creative possibilities and help businesses and artists efficiently create content. At the same time, however, they also raise questions about how the authenticity of generated content can be guaranteed and what ethical considerations should be taken into account when dealing with AI-generated texts and images.

AI systems use machine learning, including deep learning and neural networks, to analyze and interpret images – so they recognize what is on them. This is used, for example, for facial recognition in photos or for the automatic categorization of images. Image recognition is a common application of artificial intelligence, which enables computers to analyze and interpret visual information. By using complex algorithms, AI is able to recognize images and faces, identify objects and even understand complex scenes.

This technology has numerous applications, from automatically sorting and categorizing images in social media to object recognition in medical diagnostics or monitoring security systems. Nevertheless, ethical and privacy considerations are also of great importance here to ensure that the use of image recognition technologies is in line with individual rights and privacy.

Companies use AI to analyze large amounts of data from the internet. This enables them to identify trends, understand customer preferences and optimize their marketing strategies.

Web analytics is a critical tool in the use of AI, providing companies with valuable insights into user behavior on their websites and digital platforms. This enables businesses to optimize their online presence, run targeted marketing campaigns and offer personalized user experiences. AI-powered web analytics can also help measure the effectiveness of marketing strategies, improve conversion rates and enhance the user experience of websites. Through continuous analysis and adaptation based on AI models, companies can maximize the success of their online presence and strengthen their customer loyalty.

AI-based robots have been used in industry for several decades to perform repetitive tasks. For example, they can help in production, in the warehouse and in logistics. Robotics is an emerging field of artificial intelligence that deals with the development and use of robots.

AI-controlled robots can perform complex tasks by perceiving their environment, processing information and reacting to it. They are used in various fields, such as industry, medicine, logistics and even space travel. Robots can automate repetitive tasks, explore dangerous or inaccessible environments and help support people with limited mobility. As AI technology advances, robots are becoming increasingly intelligent and interactive, leading to improved collaboration between humans and machines.

AI can identify suspicious activities or transactions early on and thus protect companies from fraud, whether in online banking or e-commerce. Fraud detection is an area where AI plays an important role.

Through the use of advanced AI algorithms and machine learning, suspicious activity and fraudulent patterns can be detected in real time. AI systems analyze large amounts of data to identify unusual behavior patterns, deviations from normal transaction patterns or other suspicious indicators. The application of AI in fraud detection not only improves efficiency and accuracy in identifying fraud, but also significantly reduces financial damage to businesses and protects customers' interests. 

In recent years, AI models and algorithms have evolved greatly and are increasingly used in medical diagnosis. Artificial intelligence can thus support doctors in diagnosing diseases. By analyzing medical data, it gives clues to possible diseases.

Medical diagnosis is an area that can benefit greatly from artificial intelligence. The use of advanced algorithms and machine learning allows AI systems to analyze large amounts of medical data and provide valuable diagnostic support to doctors. AI can thus help analyze complex medical images, such as X-rays, MRI scans and histopathological images, and identify potential abnormalities or patterns of disease. In addition, AI models can help doctors make more accurate diagnoses and create personalized treatment plans due to their extensive knowledge of medical literature and research findings. The application of AI in medical diagnosis can increase efficiency, improve accuracy and potentially support life-saving decisions.

However, it is important to emphasize that the final diagnosis will always be in the hands of healthcare professionals, with the AI systems serving as tools to support and complement them. The development of AI-assisted diagnostic technologies requires careful validation, ethical considerations and continuous improvement to ensure safe and high-quality patient care.

In agriculture, for example, AI helps with harvest planning, monitoring plant diseases or optimizing the irrigation system. Artificial intelligence has the potential to improve farm efficiency and sustainability. Through the use of AI technologies, farmers can obtain important information about soil conditions, growing conditions, pest infestations and crop cycles.

AI-powered systems can analyze large amounts of data in order to make accurate predictions about the optimum sowing time, irrigation patterns and fertilizer use. In addition, drones and sensors with AI capabilities make it possible to monitor fields and livestock in great detail, so problems can be identified early on and specific actions taken. Integrating AI into agriculture can make more efficient use of resources, increase yields and reduce the environmental impact. 

AI systems are even used for traffic control. By using AI technologies, traffic flows can be analyzed, predicted and optimized to reduce congestion and make traffic flow more efficient.

Traffic monitoring systems, sensors, and cameras continuously provide data on traffic density, vehicle movements and traffic accidents, which are analyzed by AI-supported algorithms. Based on this data, intelligent traffic systems can adjust traffic lights, traffic light circuits and traffic signs to optimize traffic flow and minimize delays. In addition, AI models make it possible to predict traffic incidents, accidents and road works, which in turn leads to better traffic planning and coordination. It’s clear then that AI plays a crucial role in traffic regulation.