{"slug":"kaizen-gaming-builds-real-time-betting-personalization-with-azure-databricks","url":"https://findausecase.com/use-cases/kaizen-gaming-builds-real-time-betting-personalization-with-azure-databricks","title":"Kaizen Gaming builds real-time betting personalization with Azure Databricks","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.","company":"Kaizen Gaming","industry":"Media & Entertainment","aiCapabilities":["Recommendation & Personalization","Machine Learning"],"businessFunctions":["Marketing"],"technology":["Azure Databricks","Delta Lake","MLflow"],"deployment":"Public Cloud","problemStatement":"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.","solutionApproach":"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.","businessValue":"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.","evidence":{"band":"high"},"sourceUrl":"https://www.databricks.com/customers/kaizen-gaming","dates":{"publishedAt":"2026-09-29T05:46:46.906Z","publishedAtSource":"pipeline","updatedAt":"2026-09-29T05:46:46.906Z"},"license":"Open for reading and citing with a link to https://findausecase.com/use-cases/kaizen-gaming-builds-real-time-betting-personalization-with-azure-databricks. Bulk republication requires permission."}