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Overview of topics
- Learn how to centralize data and analytics workloads, and optimize the creation of AI and analytics applications as well as ML models on a lake-based architecture.
- Discover how an open and managed lakehouse foundation as well as unified hybrid and multi-hybrid environments are key to creating value and democratizing access to insights.
- Learn about end-to-end analytics solutions, and how to incorporate AI and machine learning into new analytics models to drive growth.
Management Consultant
Matthias is a consultant with a focus on cloud platform & data analytics in the Microsoft environment, data-warehouse architecture and performance optimization; for over 15 years, he has advised clients from various sectors such as automotive, manufacturing, financial and pharmaceutical on topics involving data analytics in the cloud. His project experience encompasses the complete value-creation process of analysis, planning, conception and implementation of cross-industry projects with a focus on developing new integration and analysis concepts as well as innovative data structures. The integration concepts mainly comprise hybrid cloud data-platform architectures which deliver sustainable added value to clients. His strengths, in addition to professional and methodical know-how, include competence in the areas of problem-solving, strategic and client-oriented thinking as well as presentation.
Agenda
08:30–09:00 | Registration |
09:00–09:15 | Welcome and introduction |
09:15–09:30 | Current situation |
09:30–10:00 | Unification of a multi-cloud and hybrid data inventory |
10:00–10:15 | Break |
10:15–10:30 | Development of suitable analytics models for AI and advanced analytics |
10:30–11:00 | Scaling of innovative analytics applications |
11:00–11:30 | Responsible democratization of analytics based on data governance |
11:30–12:00 | Conclusion and Q&A session |
12:00–12:30 | Lunch |
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