Consistency in customer service is one of those things that is just as basic as it is hard to achieve. For one thing, because every detail matters. For another, because consistency doesn't stand alone. It depends on the overall quality of service, on the right use of technology, on your data infrastructure, on your agents. It all melds into one big picture when your customer engages you’re your customer service. It's not said for nothing that the three C's of customer experience (CX) are consistency, consistency, and consistency.
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.
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.
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?