What artificial intelligence does or will do in the future in the area of corporate communications naturally depends heavily on the situation of the individual company and its culture. However, companies today absolutely have to deal with certain developments, as already explained in the previous two episodes of this series.
Artificial intelligence is a key tool when it comes to data collection and rapid evaluation. But it's not just the speed, but also a significantly improved level of detail that will allow us to communicate even faster and differently. Never before have companies had such comprehensive opportunities to develop and improve their communication (not only) in digital media, marketing and sales on a strong data basis. But usually only a fraction of the possibilities are exploited. However, it can be assumed that all communication that takes place in the context of the company will be strongly influenced by the improved situation regarding real-time data evaluation.
Meetings as we know them today will be enhanced with so-called bc data augmented reality . We will feel the augmented reality in our communication. We will be able to be anywhere virtually and incorporate these new insights directly into our decisions. Our decision-making processes will be significantly shortened overall, as AI will be there to advise us and support us without emotion.
AI-based bots are getting better and better at answering customer queries in detail and like a human. Call centers as we know them today will soon be a thing of the past.
AI and Machine Learning series
How can German companies still become digital masters? How can this be initiated and driven forward using the means of corporate communications? Why do we need less rather than more information? How can decision-makers and experts develop pragmatic approaches that are actually feasible? - These are the questions of my focus on digitalization this autumn here at PR-Doktor. In dealing with the topic, I realized how much catching up I still had to do in terms of knowledge. That's why I asked a machine learning expert to answer my most burning questions. The huge amount of answers, information and examples has resulted in this three-part series. - Kerstin Hoffmann