OT-AIAT 16

Beyond Chatbots: History and Hype Cycles of AI

Zielgruppe

Everyone is welcome who wants to understand the roots of AI and what is beyond generative AI.

This webinar is open and free of charge for all participants from academia, industry, and public administration fromEUand/orEuroHPC JUmember countries.

Inhalt und Ziele

Discover how Artificial Intelligence (AI) evolved since 1943, understand concepts and limitations of most important AI techniques, and explore what this means for AI use cases today.

AI has inevitably entered the general discussion throughout most fields of our daily lives. However, most people still believe that AI is this new technology that has been released with the launch of ChatGPT in 2022. What most people are not aware of is the fact that AI is actually a topic that organizations are working on for almost 100 years now, and spans far beyond generative AI tools such as ChatGPT.

In this webinar, we dig into the history of AI, and based on the historical background derive the actual scope of the term AI, underlying techniques and potentials, as well as driving forces that lead to multiple hype cycles surrounding the term AI throughout the last decades.

Agenda

14:00 Welcome & Presentation of AI Factory Austria AI:AT

14:05 The History and Hype Cycles of AI

• History of AI
• Different approaches of defining AI throughout history
• Overview of AI techniques and their popularity within the last decades
• Driving forces of AI adoption within the last decades

14:50 Questions & Discussion

Trainer

Zeit und Ort

Seminarnummer:

OT-AIAT 16

Trainingsform:

Online-Tr. / Webinar

Dauer:

1 Tag(e) (1 Stunden)

Termin:

04.11.2026

Stundenplan:

14:00 - 15:00

Ort:

Online

Anmerkungen

Entry level & prerequisites

Beginner – no prior AI knowledge is required.

Language

English

Speaker

Daniel Lehner (AI Factory Austria AI:AT)
Dr. Daniel Lehner works as expert in AI knowledge transfer at AI Factory Austria AI:AT. He also works as a consultant and trainer at TwinTech, helping companies to efficiently exploit the potential of digitalization through the use of artificial intelligence and digital twins. In addition to his work with various companies, he also draws on his many years of experience in researching digital twins and artificial intelligence at Johannes Kepler University in Linz.

Organisation

Seminarleitung:

Buchwinkler David BA MA

Sekretariat:

Fröhlich Elisabeth