CONFERENCE PROGRAM

Please note:
Here you can find the English speaking sessions of the TDWI München 2024. You can find all conference sessions, including the German speaking ones, here.

Thema: AI

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  • Dienstag
    11.06.
  • Mittwoch
    12.06.
  • Donnerstag
    13.06.
, (Dienstag, 11.Juni 2024)
10:40 - 11:25
Di 1.1
Augmented Analytics – the path to become insight-driven

Embarking on analytics transformation reveals a pivotal challenge: not all can be data-driven. Thus, we shift to Augmented Analytics, seamlessly integrating insights into workflows, bypassing the need for universal data literacy. This approach, elevates decision-making quality, operational efficiency and adoption, highlighting the journey towards a culture of insight-driven innovation. We'll explore the essence of Augmented Analytics as the cornerstone for the next analytics maturity level,…

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Willi Weber
F111
16:00 - 16:45
Di 2.4
Don't focus on the AI hype – focus on value with ChatGPT

Mit mehr als 1000 Nutzern auf der Cloud-Datenplattform muss DKV Mobility den nächsten Evolutionsschritt zur Data Driven Company gehen.

DKV Mobility nutzt Frosty von Snowflake, um Business Value für Non-Developer zu generieren, statt dem AI-Hype zu folgen.

Der Use Case erläutert den Why/How/What-Ansatz von DKV Mobility auf dem Weg zur Implementierung von Business-Modellen, die Generative AI enthalten. Abschließend wird auf die Do's & Don'ts eingegangen.

Zielpublikum: Entscheider, Interessierte an…

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Sönke Iwersen
K4
Vortrag: Di 2.4
17:15 - 18:00
Di 2.5
Building an AI Center of Excellence at Austrian Power Grid

In this presentation, Pascal will provide a comprehensive overview of the foundational strategies deployed in establishing the AI Center of Excellence at APG. He will give practical insights into the many challenges and the strategic solutions implemented to ensure the Center's success. Further, the session will delve into the intricate interdependencies among AI, analytics, coding, and data excellence - critical components that surface during the development of robust AI and data capabilities.

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Pascal Plank
K4
Vortrag: Di 2.5
Themen: AI
Strategy
, (Mittwoch, 12.Juni 2024)
09:00 - 10:00
Mi 1.1
Creating Data Transparency with the Support of LLMs and AI

Data Transparency is a basic need of every data worker. It is crucial to find the right data in a limited amount of time to keep the time-to-market of data and analytical products short. However, documenting and classifying data manually can be cumbersome due to the vast amount of data. In this session, we present the approach MediaMarktSaturn has taken to use LLMs and other AI models in combination with a data catalog to establish a high level of data transparency in a semi-automated way.

Targe…

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Dieter Berwald, Christian Fürber, Nitin Vashisth
E119
09:00 - 10:00
Mi 4.1
Rocking the World of Airline Operations using Data, AI & OR

Learn how Lufthansa Group is leveraging AI in the sky - and how you could apply the same concepts to your business. Lufthansa Group and Google Cloud developed a cloud native application that pulls data from operational systems to the cloud for analysis by artificial intelligence and operations research for optimizing flight operations. It balances crew availability, passenger demand, aircraft maintenance status etc. Recommendations are given to Operations Control for final checks and…

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Christian Most, Andreas Ribbrock
E101/102
Vortrag: Mi 4.1
, (Donnerstag, 13.Juni 2024)
11:10 - 12:10
Do 2.3
Agile AI Architectures: Azure MLOps for Dynamic Usecases

Explore the future of MLOps as we delve into building Azure ML pipelines using OOP. Discover how a generic and reusable MLOps pipeline streamlines new use case initiation. We utilize MLflow for managing the ML lifecycle and model deployments. We leverage OOP and dependency injection to build an MLOps framework, eliminating all the boilerplate and making it easy for our customers to start new use cases. Developers can reuse, inject, or utilize AutoML for training modules. This solution is an…

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Saurabh Nawalgaria, Mustafa Tok
E101/102
Vortrag: Do 2.3

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