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Join us for a 3-day Data Challenge!!

Join us for a 3-day Data Challenge!!

Join us for a 3-day challenge bringing together data teams. Participants will have the opportunity to leverage Microsoft & Databricks’ teams' expertise. The teams will be challenged on demonstrating the technicality but also the business impact of the predictive solution they implement. 

Clients will choose a challenge from the following three topics:

• Demand Forecasting, perform fine-grained forecasting at scale with causal factors
• Anomaly Detection, analyze geospatial behaviors at scale to identify outliers such as device failures or anomalous card transactions.
• Churn Detection, identify customers most at risk of leaving and retain the most valuable to drive faster revenue growth.

During the challenge, the teams will be supported by a dedicated coach to drive them in their work. At the end of the 3 days, all the teams will be asked to submit their final work to [email protected].

The judges will review the presentations and will announce the results on the 13th February.

Participants

Register your team today!

We recommend a team of 3 members. Each member of the team needs to register through the form on this page before the 6th January.

We will present the three topics in details on the 9th January so no need to choose right now.

Agenda of the Datathon

DAY 1

Monday 23 January 

Let's meet in person, our teams will welcome you at the Microsoft Technology Centre in London Paddington.

10:00am: Welcome

10:10am:  Discovering the Lakehouse

10:40am: Challenge presentation & use cases showcase [Databricks & Arreoblue]

11:25am: Tech Deep-dive

12:00pm: Q&A 

12:15pm: Lunch

1.15pm: Breakout sessions per use cases

4pm: Wrap-up of the day

DAY 2

Tuesday 24 January 

Virtual

Teams will connect remotely and will interact with the experts and coaches.

DAY 3 

Wednesday 25 January

Virtual or in-person

Teams will connect remotely or in-person in the afternoon and will interact with their coach to finalise their projects.

Event Sponsor: Databricks (Databricks Privacy Policy) 

Event Co-Sponsor: Microsoft (Microsoft Privacy Policy)

Speakers