Precise forecasts with SAP Databricks
Data & Cloud Services
Modern forecasting methods with machine learning
The integration of Databricks into the SAP Business Data Cloud heralds a new era in data management. The partnership combines SAP's expertise in business-critical processes with Databricks' powerful data engineering and machine learning capabilities to seamlessly bring together data from multiple sources, regardless of format or location.
In our webinar, we will show you how the interaction of both technologies also paves the way for more precise forecasting models. Using our forecasting framework as an example, you will see how you can take the accuracy of your forecasts to the next level with machine learning in SAP Databricks.
In the focus of the live demo:
- Seamless data integration:How Databricks enables SAP and third-party data to be merged regardless of format, storage location or source.
- Powerful AI and ML capabilities:What machine learning tools does Databricks offer directly through the SAP Business Data Cloud?
- Prefabricated forecasting framework: How pre-built forecasting logic can be brought in and reused in the BDC.
- Best practices: Experiences and tips for using Databricks with SAP data.
Take the opportunity to find out how you can implement modern forecasting by combining SAP and Databricks directly in the BDC. Sounds exciting? Then watch the free webinar now:
Webinar contributors
Julian Schütt has been advising our customers for over 15 years, from the conception to the implementation of smart data architectures. As head of the Data & Cloud Services business unit, he is involved in the use of innovative technologies, from agile cloud environments to the efficient use of artificial intelligence.
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Djauschan Fedaie has been working as a data scientist for over three years and supports data-driven projects from analysis to implementation. His focus is on generative AI - in particular RAG applications and agents for the automation of complex tasks. He has experience in forecasting, data engineering and data architecture and combines technical understanding with a clear focus on business value.
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