
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.
- Dienstag
11.06. - Mittwoch
12.06. - Donnerstag
13.06.
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,…
Our unit has the opportunity to move to the AWS Cloud with its platforms and data. The main challenges we faced were/are:
- Getting buy-in from all colleagues
- Dealing with complexity
- Re-skilling
- Giving people a sense of belonging and psychological safety in a complex, hybrid and changing environment.
Find out more about how we dealt with these challenges, using lots of practical hacks, and the newest findings of Neuroscience. You might be surprised which measures worked best and also by how we…
Real-world experience navigating a modern data architecture landscape. Thomas Mager will reflect on the initial motivations that sparked this journey, the structure of his contemporary data architecture, the value he could generate, and the obstacles he faced along the way. Additionally, he will offer valuable insights into his current and future endeavors, incl. leveraging SaaS, advancing AI initiatives, and rapidly developing new regulatory reports, all facilitated by the robust framework of…
This session looks at how adoption of open table formats by data warehouse database management vendors and advances in SQL are making it possible to merge siloed analytical systems into a new federated data architecture supporting multiple analytical workloads.
Target Audience: Data architect, enterprise architect, CDO, data engineer
Prerequisites: Basic understanding of data architecture & databases
Level: Advanced
Extended Abstract:
In the last 12-18 months we have seen many different…
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…
Data Mesh is a decentralized approach to enterprise data management. A Data Mesh consists of Data Products, which can be composed to form higher-order Data Products. In order for a Data Mesh to scale, this composition needs to be safe and efficient, which calls for automated testing. In the Microservices architecture, scalably testing the interaction between services is sometimes achieved by an approach called Consumer-Driven Contract Testing. This session explores how this approach can be…
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.
…
Genieße kühle Drinks und kleine Snacks, während du wertvolle Kontakte knüpfst und den ersten Messetag Revue passieren lässt!
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…
Supporting analytics and data science in an enterprise involves more than installing open source or using cloud services. Too often the focus is on technology when it should be on data. The goal is to build multi-purpose infrastructure that can support both past uses and new requirements. This session discusses architecture principles, design assumptions, and the data architecture and data governance needed to build good infrastructure.
Target Audience: BI and analytics leaders and managers;…
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…
The ELM approach is a new way to get the business requirements analysis for your data warehouse and data architecture and a perfect fit to model your Data Vault.
This presentation will mimic the 6 steps needed to guide Samen- und Pflanzenhandel Willibald from their business case towards an Ensemble Logical Model – the ELM approach. Each of the 6 steps can be seen as a small part of the combined journey of business and IT as described in the ELM approach. When the Willibald case came available,…
The successful establishment of low-code and self-service platforms in enterprises is not a guaranteed. Seamless collaboration among departments, management, IT, and security is crucial. The Müller Service Group has effectively tackled this challenge through the implementation of a governance framework. In this session, we will share best practices and insights from our journey towards successful governance. We will use the Microsoft Power Platform as a case study within the presentation as an…
This talk introduces the basics of Generative AI (GenAI) capabilities in Snowflake's Data Cloud, showing how it can improve how we interact with data. We will cover three practical examples through live demos: First, using Snowflake Copilot, we'll see how to chat with data in natural language. Next, we'll look at how integrating Hugging Face models with Snowflake's Model Registry can expand its capabilities. Lastly, we will demonstrate building advanced chatbots that can search and use…
FINMA Circular 2023/01, which comes into force on January 1, 2024, requires banks to define, identify and monitor the data elements that are considered critical for the successful and sustainable provision of the institution's services or for regulatory purposes. In this presentation the CDO of Banca Stato will outline how the bank as utilized Collibra to build an effective data governance framework and achieved following benefits:
- Improved data quality
- Increased data security
- Enhanced…
The landscape of Data Warehousing (DWH) is evolving, influenced by pivotal trends in GenAI and Data Products/Data Mesh. At Databricks, we believe that AI is a catalyst for simplification, enabling every user in the organization to easily interact with data. As many organizations move to decentralize their data domain, we see a high potential for data products to build the integration layer of different autonomous domains. Join this session to learn how our Data Intelligence Platform combines AI…
This presentation gives an overview on the concept of Boehringer Ingelheims Data Science Academy. The Academy aims at providing data literacy to all data users and leaders. It also provides upskilling opportunities for experts in the domain. Besides the general setup, I will give an overview on the founding of the Academy. Furthermore important learnings and our further development are shown.
Target Audience: Anyone who wants to increase data literacy in their company and learn and discuss about…
As more and more organizations experiment with Generative AI and deploy it in production, a crucial question emerges: Can these applications be both safe and scalable in an enterprise context?
Cost Control, Auditing, Data protection, PII Detection, Retrieval Augmented Generation… the obstacles to deploying LLM in production are many.
In this session, you’ll find out how LLM Mesh is helping the Enterprise to overcome these obstacles.
Prerequisites: None
Lasst den Konferenztag bei einem erfrischenden Getränk in lockerer Atmosphäre ausklingen. Trefft Branchenkolleg:innen, knüpft neue Kontakte und genießt einen entspannten Abend voller Networking & anregender Gespräche. Der perfekte Mix aus Fachwissen, Austausch und geselligem Beisammensein – wir freuen uns auf euch!
How can Data Cataloguing, Modelling, DQ and other streams join forces to create business value? The speaker shares experience from a data vendor and a manufacturing business.
Target Audience: Data Professionals and decision makers with stakes in the value chain big picture
Prerequisites: Familiarity with Data Governance concepts (Catalogue, Quality, Integration etc.)
Level: Advanced
Extended Abstract:
Data Governance can contribute local optimizations to a company's value chain, such as better…
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…
Within this session colleagues from Siemens Financial Services and b.telligent present how they are building jointly an intelligence data integration framework based on Azure Services leveraging the unique advantages of concepts such as generic loading, automated schema evolution to magnify flexibility and how they fine-tune workloads, to ensure a smooth performance and to cost-efficient workload management at the same time.
Target Audience: Technical Experts in Data Warehousing, Data & Cloud…
In this talk, we delve into the emerging field of applying large language models in the industry with focus on different techniques of augmenting large language models while preserving confidentiality of data that is used for additional context.
In this talk we will explore the fundamentals of RAG, its implications for privacy-preserving data handling, and practical considerations for its implementation on a real usecase.
Target Audience: machine learning engineers, data scientists, data…
In this session Marcel will talk about how organizations are realizing a data shopping process with the correct technology, organization and business processes. The session will unveil the role of each technology component from data catalogs and data marketplaces to data virtualization and data pipelining. Furthermore, the role of data governance and organizational change management will be explored and customer reference architectures will be provided to illustrate an exemplary end to end data…
Zum Abschluss der TDWI München 2024 laden wir euch zu einer interaktiven Wrap-Up-Session ein, um die wichtigsten Erkenntnisse und Highlights der vergangenen drei Tage gemeinsam Revue passieren zu lassen. In dieser abschließenden Runde werden Klaus-Dieter Schulze und Philipp Loringhoven ihre persönlichen Highlights und Key Takeaways aus den zahlreichen Vorträgen, Workshops und Diskussionen teilen.
Wir freuen uns darauf, gemeinsam mit euch die TDWI München 2024 abzuschließen und wertvolle…