We will discuss how building Data Science platform can help in Enterprise Digital Transformation, will cover several Hybrid Cloud Architectures, review approaches and challenges of deploying trained models to production environments. Will focus on several common problems like Anomaly Detection and Classification using different approaches, such as CNN, K-means and others. I’ll show how to train models with getting data from different data sources: Kafka, Cassandra, OLAP Cubes, Elasticsearch, Data Warehouses, Hadoop and deploy trained models to Enterprise Infrastructure Components like ESB, Message Buses and ETL. The presentation has lots of demos and samples from real
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