AI as an assistance system for management decision-makers
Like the reliable co-pilot in a car that navigates safely through traffic using navigation systems and lane departure warning systems, AI could help overworked managers to keep their own company on a trouble-free course.
What managers can learn from the lane departure warning system
A navigation system that avoids traffic jams or a lane departure warning system that compensates for inattentive moments are examples of Kl that processes complex data in real time and thus becomes a valuable companion in the hectic everyday commute. The number of assistance systems in cars has increased steadily in recent years and this trend is likely to continue, as Kl will help these comfort and assistance functions to reach a new level of maturity. In the car, too, it is all about the additional level of early detection, smart pattern recognition, drawing the right conclusions from countless data as well as adaptivity and the ability to learn. Access to ChatGPT, which the OEMs are now planning, should help to accept even complicated commands from the driver. Managers also need to recognize patterns in the data noise in their own decision-making process, react early and learn from past decisions, and this is precisely where Kl comes in as a digital assistant.
In purchasing: Kl can replace an entire team as a global risk watchdog and market trend analyst. For example, a Kl-based platform could scan data from international news sources, weather reports and political analysis in real time to identify potential supply chain disruptions.
In planning and controlling: The AI assistant can correlate immense data sets from accounting, sales and external sources to identify hidden patterns. For example, it could uncover unusual spending patterns that indicate fraud or waste, or extrapolate sales forecasts in the non-linear range.
In product and software development: Kl can run complex simulations to evaluate how design changes affect performance and user experience. Prototypes can be created faster as design variations can be simulated to find the optimal balance between safety, efficiency and cost.
In service and sales: AI chatbots can not only answer standard customer queries, but also learn to make personalized recommendations. In scenarios where a customer asks for a specific product, the chatbot could suggest similar products or offer upselling options.
Kl as an assistant for the managerial elite
In future, managers will have to solve more and more complex problems faster and be provided with more and more data input. Similar to a consigliere, who acts as a whisperer to challenge one's own opinion, point out perspectives and, as an advisor, broaden horizons and serve as a source of inspiration. Such a Kl assistant can now be carried in your jacket pocket on your smartphone.
Successful case studies
At our Munich Management Colloquium on March 5 and 6, 2024, the following speakers will show how Kl can influence management decisions:
Dr. Marianne Janik, Chairwoman of the Management Board, Microsoft Germany
Lecture title: „Lead in AI! Seizing opportunities & mastering challenges„
Natalia Oropeza, Global Chief Cybersecurity Officer and Chief Diversity, Inclusion & Equity Officer, Siemens AG
Lecture title: "Take the risk. Manage it. Speed up Digitalization."
Dr. Johannes Bussmann, Chairman of the Management Board, TÜV SÜD AG
Lecture title: „Innovate, Connect, Thrive: Europe as a driver of technology and AI - on the path to a sustainable revolution"
Dr.-Ing. Sami Atiya, Member of the Group Executive Board ABB Ltd, Head of the Robotics and Factory Automation Division
Lecture title: „AI and robotics - innovation drivers for the industry„
Claudia Willvonseder, Member of the International Management Board, Dr. August Oetker Nahrungsmittel KG
Lecture title: "Data-fueled transformation - the journey to become a data and tech-enabled company"
Dr. Olga Nevska, Managing Director, Telekom MobilitySolutions
Lecture title: "Collaborate & scale for good: Mobility as a blueprint for the new together"
Dominic Kurtaz, Managing Director EuroCentral, Dassault Systemes Deutschland GmbH
Lecture title: "Data Driven Intelligence and Collaboration: What, Why and How to do it"
Prof. Dr. Peter Laier, Member of the Board of Management, Production, India Region, Commercial Vehicle Solutions, Industrial Technology, ZF Friedrichshafen
Lecture title: „Development of Powertrain Concepts for commercial and Off-Highway verhicles"
Carlo Ruiz, Senior Director AI Solutions, NVIDIA Middle East, Europe and Africa
Lecture title: "Harnessing Generative AI for Global Industry Transformation"
Peter Bosch, Chief Executive Officer, CARIAD
Lecture title: "Software as a competitive advantage for the Volkswagen Group"
Prof. Dr. Dr. h. c. mult. Horst Wildemann is a professor at the Technical University of Munich and heads the management consultancy TCW. On March 5 and 6, 2024, he will be hosting the Munich Management Colloquium for the 31st time with over 80 speakers from leading companies