On June 10, TU Wien ACE hosted a highly informative panel discussion on "Data & AI Literacy."
Leaders from the tech and business sectors shared their insights and strategies for the successful use of data and artificial intelligence (AI). The event was moderated by Alin Kalam from UNIQA and featured
One of the main discussion points was the transformative power of data. Julia Newland from Microsoft emphasized the importance of correctly interpreting data and turning it into actionable decisions. She explained that data-driven insights enable companies to identify market trends, analyze customer behavior, and ultimately gain competitive advantages. An example of this is the use of big data in market research, allowing companies to make more accurate predictions and develop personalized marketing strategies.
Another focus was the integration of AI in business leadership. Helmut Petritsch from Iteratec explained how AI technologies can automate and optimize business processes. AI can help analyze vast amounts of data, recognize patterns, and make predictions essential for strategic planning. A notable example is the use of AI in the finance sector, where algorithms for high-frequency trading and risk assessment are employed to improve efficiency and accuracy.
The importance of data competence was a central theme. Lisa Hoellbacher from Unbuzz/Nexyo highlighted the need to develop a culture of data competence within companies. She stressed that continuous learning and further education are key to strengthening data competence. This includes training and workshops aimed at providing employees at all levels with the necessary skills to effectively use data.
Tips for promoting Data Competence:
Effective communication strategies play a crucial role in supporting a data-driven culture. Stefan Hahnenkamp from Burgenland Energie emphasized that all levels of a company need to be included and informed to foster a data-driven culture. This creates transparency and allows for a better understanding and implementation of data-driven decisions.
The panelists also addressed the challenges leaders face in data interpretation. They provided practical tips for integrating AI into decision-making processes and fostering a data-driven culture. One of the challenges is ensuring data quality and adhering to data protection regulations. Companies must develop robust data management strategies to ensure data is accurate, up-to-date, and secure.
Recommendations:
The event concluded with a lively Q&A session, allowing participants to interact directly with the experts. This provided a valuable opportunity to delve deeper into the discussed topics and clarify individual questions. The experts emphasized that the implementation of data and AI strategies is a continuous process that requires commitment and adaptability.
This panel discussion was not only informative but also a perfect introduction to the "Data Literacy & AI Essentials" compact program for executives offered by TU Wien ACE. This specially designed program aims to improve the understanding and application of data and AI in business. It provides leaders with the tools and knowledge needed to succeed in a data-driven world.
![[Translate to English:] Panel Expert Talk Data Literacy & AI Essentials](/fileadmin/_processed_/f/a/csm_2024-07-data-literacy-01_d97efa4a52.jpg)
F. l. t. r.: Helmut Petritsch, Stefan Hahnenkamp, Lisa Hoellbacher, Julia Newland, Alin Kalam
The program covers critical aspects of data and AI competencies and integrates communication strategies essential for continuous professional development. Participants learn how to use data and AI to make informed decisions, develop innovative solutions, and successfully lead their organizations through digital transformation.
For more information and details on how to register, visit the program website:
>> Compact Program "Data Literacy & AI Essentials"
Equip yourself with the knowledge and skills necessary to lead successfully in the digital age and leverage the strategic advantages of data and AI!