OT-AIAT 17
 Beyond Chatbots: Applications and Foundations of Machine Learning

Zielgruppe

Everyone is welcome who wants to get to know different machine learning techniques and their application in different industry sectors.

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

Inhalt und Ziele

Get to know different machine learning techniques like supervised, unsupervised, and reinforcement learning and discover how they are applied in different industry sectors.

When people talk about Artificial Intelligence (AI) today, Large Language Models (LLMs) such as ChatGPT and Claude are often the first that come to mind. But AI goes far beyond LLMs.

In this webinar, we explore machine learning, the technique at the core of LLMs, and uncover how it powers innovation across industries, beyond AI chatbots. Through simple examples, we introduce key machine learning and deep learning methods, then show how these techniques create real value in fields like manufacturing, healthcare, tourism, and smart farming.

Agenda

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

14:05 Applications and Foundations of Machine Learning

  • Foundations of different machine learning techniques using very simple examples
    • Supervised Machine Learning
    • Unsupervised Machine Learning
    • Reinforcement Learning
  • Application Scenarios of machine learning in different areas
    • Manufacturing
    • Smart Farming
    • E-Health
    • Gastronomy and Tourism

14:50 Questions & Discussion

Trainer

Zeit und Ort

Seminarnummer:
OT-AIAT 17
Trainingsform:
Online-Tr. / Webinar
Dauer:
1 Tag(e) (1 Stunden)
Termin:
05.11.2027
Stundenplan:
14:00 - 15:00
Ort:
Online

Anmerkungen

Entry level & prerequisites

Beginner – no prior AI or technical 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