No fear of evil (ro) offered

Already the 1982 movie appeared Blade Runner outlines with regard to artificial intelligence (AI) a not very enticing future perspective. In the movie, the task of so-called replicants is to open up other planets for a better life, as the earth is almost destroyed and completely overpopulated. These highly intelligent, but artificial replicants are hardly distinguishable from us humans – the conflict is inevitable. Fortunately, our reality still looks different. Why AI is still indispensable for our daily work and why companies should not miss the leap into the new age.

1. KI ≠ robot

Many people at KI think of robots that are planning to seize world domination – not least because of films. Fortunately, we do not (yet) have anything to do with such beings. In fact, AI is not necessarily something physical. Strictly speaking, AI is a paradigm that differs from the normal approaches to tackling computer science. Usually, a programmer breaks down a problem into small subproblems and solves them. KI, however, takes a different approach: to provide a system with examples of ready-made solutions. From this it learns how to solve unknown problems. This can give the machine the opportunity to independently develop new solutions.


This works through the principle of so-called supervised learning, ie supervised learning. As part of a training set you show the system how it has to look at the solution. The neural networks of a system work best here. These networks should recognize the tasks from the data they receive and process them. But even if artificial intelligence learns by itself, that does not mean that it is really “intelligent”. There is a significant difference between AI and actual human intelligence. The power of AI is currently based on computational power and algorithms designed to solve narrowly defined problems. On this basis, AI is actually able to evaluate data as fast as it would never be possible for us humans.

2. Intelligent systems have long been part of our everyday lives

KI are not highly intelligent robots that are a step ahead of us humans in many abilities. Unfortunately, this is due to the assumption that we humans are rather skeptical about AI. Nevertheless, we should not fool ourselves: The new technologies have long arrived in our everyday lives! In Germany, AI and machine learning are not yet so strong on the rise as it is in other countries already commonplace. This is also shown by a recent study by the Association of German Engineers (VDI).

Nevertheless, companies are already benefiting from the use of new technologies, for example in the CRM area. Systems can draw conclusions about a person’s future buying behavior based on data from previous purchases. Companies benefit from these possibilities of “predictive analytics” when dealing with similar groups of buyers. The same applies to project management tools that are already able to think and learn based on the data entered by the user. Such tools can easily detect the duration of working hours and independently suggest an assignment to specific projects. In principle, new technologies can and will support us in a variety of life situations and perform complex and, above all, repetitive tasks without problems, which otherwise would only cost us unnecessary time and effort.

3. We lag behind – but AI will continue to evolve

Even if Germany has a lot of catching up to do in terms of AI: Through AI, companies will change a lot over time. Already, companies with data can tap into completely new business areas: the new technologies have a scope comparable to the revolution that triggered the Internet. Comparable fears, as they exist today against AI, there was also in the wake of the Internet age: decades ago, many people expressed concern and suffered job loss fears. But also in the area of ​​the Internet of Things there were and are a multitude of new employment opportunities – and so it will be in the topic environment AI and machine learning as well.

The fear of losing their job through AI is not entirely unfounded, but new business models are creating new opportunities. KI will rarely completely replace jobs, processes, or business models. Rather, it can succeed in meaningfully supplementing human activities and thus even creating added value for people. While computers take on a lot of tedious tasks and perform them automatically, employees have more freedom for more relevant, meaningful activities.

For example, if an employee is involved in the project business, his day-to-day work is generally about planning and executing projects. Of course, he has to coordinate with colleagues and, if necessary, record working hours in order to get an overview of how successful a project has been. All of these aspects are based on data – and these must be managed accordingly. And every company knows: Administrative processes around project planning and analysis of data are very costly. This is exactly where the properties of KI come in handy. Smart business software can help to improve an employee’s activities. On the basis of data on working hours or exceeded budget, she is able to compare one project with another – if one of them went badly, the software will inform automatically and automatically offer suggestions for improvement for future projects.

Many companies have already set the course for these new technologies. For the others, it is important to jump on the AI ​​train as quickly as possible in order to really benefit from the new opportunities.

To the author:Anna Schüler is Chief Trend Scout at and advises online marketing companies. As a cycle actress, she is responsible, among other things, for the magazine, in which she reports on AI trends, new work and the automation of business processes.

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