Are your business decisions already founded on AI-based forecasts? Were you able to design more efficient processes and increase the output significantly through AI? You should keep reading to get to know more about this exciting topic – especially if you want to know, how you can benefit from the usage of AI in detail.
In general, Artificial Intelligence is the generic term for any application where computer systems simulate human-like intelligence. This includes learning, judgement and problem solving.
The term Artificial Intelligence (AI) is not new. It is subject to a constant change which depends on the latest trends and findings in research.
AI systems still reach their limits when interacting directly with people and performing complex tasks. But there already are some fields where AI is far ahead of human beings: In contrast to the human brain the performance of computers is growing enormously, so that over time new services and tasks can be performed and mastered.
itemis is your innovation partner for the development and implementation of artificial intelligence in your company. We have acquired our know-how in numerous customer and research projects.
AI systems can be divided into strong and weak artificial intelligence:
Weak artificial intelligence (also known as weak AI or narrow AI) is the term used to describe systems that master concrete areas of application of human thought.
It is about the simulation of intelligent behaviour on the basis of methods of mathematics and computer science. Such a system is able to optimize itself. But it is not about the creation of consciousness or a deep understanding of the respective problem solution.
Strong artificial intelligence represents the opposite. It is a matter of creating systems that have the same intellectual abilities as humans or even exceed them.
Such a system would work on its own initiative. To date, it has not been possible to build such a system. According to many experts, the development of a strong AI is not feasible in the near future. Consequently, all existing AI systems today can be classified as weak AIs.
Artificial intelligence is already clearly superior to humans in some areas. As AI experts, our task is to make this technology available to you so that you achieve your goals faster and more efficiently.
The potential of artificial intelligence is enormous and finds innovative fields of application in many areas. These include text and face recognition, for example. Chatbots are increasingly used on websites or in apps. A big advantage of today's systems is their ability to learn. The more examples the algorithm gets as input, the better it becomes.
As you can already see today, artificial intelligence has found its way into almost every industry:
Artificial intelligence can detect problems in machine and plant engineering before they occur. This makes it possible to plan repairs and maintenance efficiently and significantly reduce downtimes. AI is also particularly efficient and reliable in the quality assurance of produced goods.
In agriculture, machine learning is already being used to find out under which conditions certain plants grow best and bring the highest yield. Factors like taste are also given to the algorithm as input. In this way, resources can be conserved and the quality of the food can be increased.
The retail sector can use artificial intelligence to obtain daily forecasts of the ideal purchasing volume. Depending on vacation times, holidays, location, weather and other factors, KI can provide accurate forecasts of which products will find which sales on which days.
In customer support, AI can be found in many places in the form of intelligent chatbots. They receive complaints and offer help and solutions. Customers can be helped instantly because of the permanent availability around the clock. This increases customer satisfaction.
Let us be more specific at this point: Let's talk about your industry and your company! Register now for a free 60-minute phone call in which one of our AI experts will record your actual and target state and use this as a basis to provide you with a first idea for the profitable use of AI in your company.
In order for us humans to be able to react well to our environment, we need to use our senses. This is where our eye, our ability to see, plays a crucial role. The same applies to technical equipment.
Computer vision is about machine vision, the acquisition of visual information. This is done by cameras or sensors that transmit their recordings for analysis. On the basis of this data, the system derives and executes certain steps.
Machine vision already exists in many areas. It starts with scanning a barcode. But machine vision is also increasingly used for quality controls. For example, objects are checked for size, shape and color and automatically sorted out in the event of any deviations.
Another application is autonomous driving. Sensors and cameras register the car's environment and try to recognise objects in its environment, predict their behaviour and act accordingly.
Machine learning describes the ability of a system to learn independently without explicit programming. The system recognizes patterns in existing databases and develops solutions for problems on its own. Often surprising approaches to solutions arise that humans could not have developed themselves.
The discipline of machine learning is again divided into three categories:
In order for computer systems to be able to learn independently, it is necessary for a person to act in advance. In supervised learning, example models must be defined and specified in advance. Thus, the information can be assigned to the appropriate model groups of the algorithms. In unsupervised learning, however, the model groups are automatically constructed on the basis of independently developed patterns.
Reinforcement learning is about an "agent" learning correct behavior in an environment. The agent is a computer. The environment can, for example, be a video game. The agent learns by performing actions and observing the results that his actions trigger. Results can be positive or negative. This means that if the agent performs a desired action, he receives a positive reward. At the beginning, the agent will perform random actions and learn from the results over time. The more often he goes through this process, the better he will be.
The goal of Natural Language Processing (NLP) is to teach a computer natural language. The aim is to create the most far-reaching speech communication possible between humans and computers. On the one hand the computer should be able to understand speech, on the other hand it should be able to synthesize it.
NLP is already present in many areas. At the same time, NLP is also the subject of current research. The development in this AI-discipline is progressing rapidly. We give commands to language assistants like Siri or Alexa, ask for information and can have (simple) conversations with them.
Natural Language Processing is used, for instance, in systems that translate written and spoken language in real time or extract text from scanned documents. The use cases of this technology are versatile.
For example, the Google Duplex AI Assistant can have natural conversations with people, such as arranging a hairdresser appointment. Often, English language assistants sound much more natural than German ones, but this is only a matter of time.
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