Algorithms accompany our lives and our workdays, but most of us do not really know what they actually are. It is all the more important to find out what the term stands for, and where algorithms come into play.

https://blog.solvatio.com/en/business-targets-challenges-in-first-machine-learning-projects 

In the course of technical development, data is considered the key factor for the economic success of a company. It is seen as more valuable than gold – you might say data is the mineral oil of the 21st century. This is evident from the Top 5 most valuable companies, measured by their stock exchange value: It is the data that makes them so valuable. But collecting and storing data is no warranty for growth and profit. So, what makes data powerful?

Companies are increasingly on the look-out for solutions that use artificial intelligence – and thus also for AI experts to implement them. The results of this development are sky-high salaries, brain drain to other countries, and frustration on the side of companies and research institutes.

There are many ways of finding new ideas or problem solutions. But many of them omit the major component: the user. User Story Mapping puts the focus on the users and their requirements in the product or the service. Before and during product development, the method helps to take the user’s requirements into consideration.

Many see the capability of chatbots to engage in dialog as their biggest potential in customer service applications. To this day, however, smooth communication with a machine via free text without loss of context is not possible. Nevertheless, bots already now provide added value for customers if their existing dialog skills are combined with technical processes carried out autonomously by the bots to solve customers’ issues. Telecommunication companies can benefit from this option to generate a positive customer experience outside of call center business hours.

Design Thinking is a popular method for developing solutions to problems and finding new ideas. However, the approach can also be helpful in the identification of use cases, for example when you intend to introduce AI in your company. But how does the method work, and how does it help you to identify use cases?