– Climber Event –
Data Grand Prix: Accelerating AI with Clean, Reliable Data
September 24, 2024 • 09.00-14.00 • Mercedes-Benz World, Brooklands Dr, Weybridge KT13 0SL, UK
Get into the driver’s seat and experience the power of automation!
Harness the thrill of automation and take control from the driver’s seat
Are you a data expert or F1 fanatic interested in automation and AI acceleration? Join us for this one of a kind event.
Register your interest now for this hands-on workshop where you’ll learn a low-code approach to data modelling with Silverstone Circuit data and have fun on driving simulators.
What to expect:
- Hands-on experience with TimeXtender showcasing data management and analytics transformation.
- Unlock the power of data automation by seamlessly generating data pipelines, data lineage tracking, and effortless data cleansing and preparation.
- Immerse yourself in the world of racing analytics – analysing driver performance and leveraging data from the iconic Silverstone circuit.
- Experience the thrill of racing at Silverstone as you take the wheel of our state-of-the-art race car simulators.
Agenda
09:00-09:30 Arrival
09:30-12:30 Demo and Workshop
12:30 Networking Lunch
13:00 Race
14:00 Closing
*This is a BYOD event – laptops need to be able to connect to a Remote Desktop Protocol (RDP).
Do you have any questions? Contact us!
James Sharp
Managing Director
james.sharp@climberbi.co.uk
+44 203 858 0668
Kat Webster
Marketing Manager
katherine.webster@climberbi.co.uk
+44 203 858 0668
News archive
Qlik Cloud Training Day
Time to get back to school! Join our complimentary, in-person technical training delivered by Climber’s experts in Central London. Register your interest today.
>> Register now
Microsoft Fabric Training Day
Time to get back to school! Join our complimentary, in-person technical training delivered by Climber’s experts in Central London. Register your interest today.
>> Register now
Inside Microsoft Fabric: Why Companies Choose Fabric
Why are organisations choosing Microsoft Fabric? Often, it isn’t about chasing new features but more about simplifying an increasingly complex data estate and creating a trusted foundation for what comes next.
>> Read more