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Title
Kaizen Gaming builds real-time betting personalization with Azure Databricks
…9 encourage consumers online to place their bets. In this high-growth industry, Kaizen’s mission is to use technology to offer a differentiated and personalized entertainment space for players to enjoy online gambling and betting safely. But with 65,000 concurrent custome…
Description
Kaizen Gaming, a European game-tech company handling up to 4,000 transactions per second, used Azure Databricks with Delta Lake and MLflow to move ML model training off local PCs onto a scalable cloud platform, cutting data set creation time from 240 hours to 20, and building a sportsbook recommendation engine that achieves 75%-85% precision across its top 100 events.
…oy online gambling and betting safely. But with 65,000 concurrent customers and transactions topping 4,000 per second at peak times, it’s no easy task. Kaizen handles this volume by employing Azure Databricks to…
Company
Kaizen Gaming
…rity and Trust Ready to get started? Get a Demo Login Contact Us Try Databricks Customer Stories / Kaizen Gaming CUSTOMER STORY Differentiated and innovative online gaming with data + AI 12x Q…
Industry
Media & Entertainment
…re. Azure Databricks is a massive acceleration factor.” Share this post Details Industry : Media & Entertainment Use Case : Data Science , Data Engineering Cloud : Azure Product : Delta Lake ,…
Problem
Kaizen's model training ran on local PCs that couldn't cope with data volumes, limiting personalization training to just six days of data, and the lack of collaborative functionality held back innovation; manual bonus and reward processing via CRM could take up to two weeks, by which time customers had disengaged.
…wanted to offer players a top 10. “We had already started a training model, but it was running on local PCs, which just couldn’t cope with the volumes of data and wouldn’t scale. We had to use just six days of data – not enough to generate meaningful personalization of the sportsbook. Plus, th…
Solution
Kaizen adopted Azure Databricks with Delta Lake to move machine learning off local PCs onto a scalable cloud platform with a common workspace for models, notebooks and data, and used MLflow for model training, experiment tracking and deployment to build a sportsbook recommendation engine that proposes a daily top-10 list of events.
…orming predictions it’s CPU.” And now, at last, Kaizen teams can work together. The use of a common space for all components, models, notebooks, experiments and data allows for better coordination and instant reference. ML engineers can work closely with big-data architects to build streaming funct…
Technology
Azure Databricks, Delta Lake, MLflow
…tabricks has transformed machine learning development and deployment at Kaizen. They now use MLflow for ML development, training models, data analysis and model deployment, experiment tracking and model registry. “Now we can see model metrics during experimentation. We can keep track of diff…
Use case type
Personalisation
…month, but suddenly in just a few days we had 365 days of data to train with.” Kaizen now uses Databricks to generate predictions and propose the top 10 events on a daily basis. In testing, predictions and recommendations were compared with actual play and…
Headline outcome
…iated and innovative online gaming with data + AI 12x Quicker data set creation 75% Recommendation accuracy Forget the image of a high roller in a tux standing at a clicking roulette whee…
Business value
Kaizen cut data set creation time from 240 hours to just 20 (and in some cases to a few hours), expanded training data from 6 days to 365 days, moved its sportsbook personalization use case to Databricks in just four days, and its recommendation engine hit 75%-85% precision across the top 100 events.
…abricks means more data and more detail. Creating data sets is fast and simple: What had taken 240 hours, now takes just 20. “In the past we waited for 10 days for the data set creation to complete. Now,…
AI capabilities
Recommendation & Personalization, Machine Learning
…month, but suddenly in just a few days we had 365 days of data to train with.” Kaizen now uses Databricks to generate predictions and propose the top 10 events on a daily basis. In testing, predictions and recommendations were compared with actual play and…
Business functions
Marketing
…now understands interactions by customer segments and time of day, which means they can be more effective with advertising and bonus campaigns and promote offers that are of maximum interest. “We are close to delivering real-time bonus award payments,” said Liapis. “Dat…
Deployment options
cloud
…ils Industry : Media & Entertainment Use Case : Data Science , Data Engineering Cloud : Azure Product : Delta Lake , Agent Bricks Ready to get started? Try Databricks for fr…
