

Big Data & AI World 2023
- This event has passed.
10. May 2023 @ 9:00 am – 11. May 2023 @ 5:00 pm CEST
Data Dexterity
We Maximize the Value of Your Data
Everybody is talking about the business potential of well-handled data. However, not all organizations are skilled at mastering the challenges when it comes to creating real business value from it. Join us at Big Data & AI World, Germany’s leading event for big data and AI technology, and find out how to become dextrous at turning data into value.
Camelot’s big data & AI skill masters will show you how to move data dexterity in your organization to the next level.
Visit us at the Camelot booth #J097 and learn from our skill masters how to achieve mastery in the following skills:
- Data-Driven Business Decisions
Next-level planning with SAP Analytics Cloud. Make decisions based on trustful data. - Data Value Chain
How to measure the value of your data across your data landscape and get the maximum out of it? - Artificial Intelligence
When you achieve data dexterity, astonishing use cases can be created to fuel business value. From data extraction to data infusion – from past to prescription. - From Data Monoliths to Mesh
Don’t just move your data to a future-proof scalable environment. Establish a culture of decision-making through robust data governance, collaboration structures, and good processes. - Data Integration
Data producers are everywhere, but how to manage the data flows in a sustainable, governed, and transparent way? - Hyperautomation
From robotic automation to end-to-end process automation. Simplify your processes and let the machine do the work.
Don’t miss Nils Hocke’s presentation “Make your business planning intuitive, fast, and reliable” on May 10, 2 pm in the Data Strategy and Data Driven Business Theatre.
Interested in an inspiring exchange about data dexterity?
Contact our Camelot skill masters to book your personal demo or meeting today!

Thorsten Warnecke
Cloud Data Lakehouse & Data Science

Andreas Staudenecker
Data Intelligence & Integration

André Richter
Hyperautomation

Nils Hocke
Analytics & Planning