
Prof. Dr. Artinger at Decision Intelligence Summit
Prof. Dr. Florian Artinger, Professor at the Faculty of Business Administration at Berlin International, will participate in the Decision Intelligence Summit 2022, which is taking place in Berlin on November 22nd, 2022.
In his keynote address, he will talk about the most important findings with regards to his research project “Decision Intelligence: How can human and artificial intelligence be effectively combined?”. His address will take place at 10:00 AM (CEST).
Click here to view the agenda.
Decision Intelligence Summit 2022
The young discipline of decision intelligence - one of the most important technology trends in 2022 according to market researcher Gartner - is moving decisions into the focus of industry and business as a strategic instrument for success. It combines traditional decision making with AI technologies to make complex decision-making processes controllable and future-proof throughout the entire company.
With the trade/off Summit, a forum is created to enable exchange and further education to rethink organizational decision-making processes and equip leading managers and executives for the increasingly complex business and marketing requirements of the networked business world. This will be explored from different business, technological, psychological and practical perspectives.
Together with leaders and visionaries from industry and the digital economy, Decision-Making will be rethought to help companies make better decisions.
An exciting line-up of experts from the AI and data scene, leading industry minds, digital visionaries and decision-making professionals await the Decision Intelligence Summit 2022.
About the research project
Decision Intelligence: How can human and artificial intelligence be effectively combined?
Despite increasing digitization, two-thirds of managers also rely on their intuition. Are they wrong here (as a survey by The Economist suggests)? The presentation shows that this is by no means the case. Often, good decision-making requires both human intuition and artificial intelligence. Three use cases show which factors can be used to deduce when it is worth combining human and artificial intelligence and how this can be done most effectively. And they shed light on the question of whether and when complex problems in an uncertain world call for radically simple solutions.