Keynote speeches on data and AI

Data contains knowledge. Strategic knowledge that can be your key to increased revenue, reduced costs, or improved processes. That's why it's our stated goal to enable you to use your data to your best advantage. Learn how to get the most out of your data with the right approach and the right tools and methods.

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We provide inspiration for digital pioneers

In our keynote speeches, workshops, and expert panel discussions, we provide you with new ideas and recommendations for your own digital success story. Are you planning an event or internal meeting and looking for experienced and recognized experts in data science and AI? Then we can provide you with the inspiration you need – from keynotes to hands-on workshops, tailored to your target audience and requirements.

Data Science & AI in focus - possible topics at a glance:

Data Science, AI and Machine Learning: How do I unlock the treasure trove of data?

Data science, artificial intelligence, and machine learning: The extraction of knowledge from data is currently circulating under many different terms. This topic not only concerns companies in all industries but also engages social discourse. This presentation explains the background, provides insights into cross-industry use cases, and shows how analytics can become a crucial building block for your company.

The content at a glance:

The background of data science: What can analytics really do? What are the key success factors?
No analysis without data: What requirements must the data meet?
The optimal introduction: How can you find the right data science use case? How can your company benefit from it across departments? Which skills are essential?
From requirements to the data product: The process model in analysis projects
Challenges, solutions, and insightful results: Insights into specific analysis projects

More than just ChatGPT and Co.: How companies can really benefit from AI

A rewarding vision of the future or an opaque threat, a sustainable success factor or a short-term trend: Artificial intelligence, at least since ChatGPT, is occupying companies across all industries. In this presentation, Oliver Bracht explains the background of AI, highlights its strengths and weaknesses, and shows in which use cases it offers real added value for companies – far beyond the traditional areas of application of generative AI.

Above all, however, Oliver Bracht, based on years of experience, shows why the right combination of artificial and human intelligence offers great potential, especially for German companies.

The content at a glance:

The background of artificial intelligence: What can AI really do? What are its strengths and weaknesses?
The origins of artificial intelligence: How do algorithm developers work?
A practical look: In which areas is the use of AI worthwhile?
The perfect mix: How can self-learning algorithms be combined with human knowledge and experience?
The optimal introduction: How can companies benefit from AI?

Data Science Operational: How do I create the right IT infrastructure for the requirements of the Big Data era?

To sustainably unlock the potential of data science, you need a seamless implementation of analytics solutions into your business processes. In this presentation, you will gain valuable insights into the technical requirements of data science, the key building blocks of your IT landscape, and, based on practical reference scenarios, a deep understanding of the right tool and technology decisions.

The content at a glance:

Development environment: Which environment is best for which user?
Source code management: How can version control help make source code traceable and transparent?
Testing: How can I increase the quality of analyses through systematic testing?
Staging architecture: How do I create suitable environments for the different maturity levels of analyses?
Documentation: What does documentation look like that promotes collaboration and efficiency within the analytics team?
Access management: What requirements do cross-departmental workflows have for the authorization concept?
Security: How can you reconcile analytics and IT security?
Infrastructure sizing: What computing capacity do you need to implement data science projects?
Reporting: Whether static PDFs, HTML documents, or interactive web applications – how do I implement the optimal toolset for my reporting?
Package management: What requirements are there for the use of packages regarding dependency management or update deployment?

A selection of our experts

Oliver Bracht

As CEO and co-founder of eoda GmbH since 2010, Oliver Bracht has seen the challenges facing companies today on a daily basis. But he also sees the opportunities that arise from innovative ideas and the courage to embrace change. His goal: to help companies get more out of their data. In his lectures, the trained rhetorician provides inspiration and motivation for this.

Martin Schneider

As a data scientist and project manager since 2012, Martin Schneider has been identifying the opportunities, but also the pitfalls, of implementing data and AI projects. As Chief Data Scientist, he supports companies in the strategic implementation of AI technologies.

As a speaker and expert, he provides inspiration for launching transformation processes and leveraging data potential.

Dr. Nico Frieß

As a senior data scientist and consultant, he has been supporting companies end-to-end for many years, from determining technological maturity to the productive deployment of data-driven solutions.

He shares this experience in workshops and as a speaker to spark new digital success stories.

Matthias Henneke

As a speaker, the economist and political scientist makes complex data science and AI methods and technologies tangible.

From agentic AI to time series analysis, he provides insights into the successful implementation of data science projects.

Our references at a glance (mostly german)

Keynote speeches at conferences and events

IHK Conference – AI in Business: AI – more than "just" ChatGPT
Digital Forum: AI in Practice – from Data Acquisition to Productive Use
AI Rocks: AI in Industrial Production
Swissmig Conference: Digital Treasure Hunt – How to Find the Right AI Use Case
data2day & M3 Conference: Federated Learning – The Solution for Data Protection, Data Sovereignty, and Performance
Business Analytics Day: From PoC to Scalable Data Product
Women Resource 4.0: AI and ML – Opportunities and Limitations
HPI Industry 4.0 Conference: Enabling IoT – Success Factors of Data Science in Industry
B. Braun AI Barcamp: AI Use Cases from Other Industries
VDMA Experience Exchange: Use Case Identification, Data Strategy & Federated Learning, etc.