Remove Customer Analytics Remove Data Analytics Remove Data Governance Remove Forecasting
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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. With Amazon Redshift ML , you can embed ML on top of the data stored in the data warehouse with minimum development overhead.

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Data virtualization unifies data for seamless AI and analytics

IBM Big Data Hub

Data virtualization empowers businesses to unlock the hidden potential of their data, delivering real-time AI insights for cutting-edge applications like predictive maintenance, fraud detection and demand forecasting. This layer acts as a shield, hiding the complexities of data storage management.