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How OLAP and AI can enable better business

IBM Big Data Hub

Online analytical processing (OLAP) database systems and artificial intelligence (AI) complement each other and can help enhance data analysis and decision-making when used in tandem. As AI techniques continue to evolve, innovative applications in the OLAP domain are anticipated.

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Accelerating revenue growth with real-time analytics: Poshmark’s journey

AWS Big Data

Other use cases – Additional use cases relating to aggregations and machine learning (ML) inference use cases such as authorization to operate, listing spam detection, and avoiding account takeovers (ATOs), among others. About the authors Mahesh Pasupuleti is a VP of Data & Machine Learning Engineering at Poshmark.

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What Is Embedded Analytics?

Jet Global

Interactivity can include dropdowns and filters for users to slice and dice data. OLAP cubes Used for multi-dimensional analysis Strategic Objective When a vendor-specific connector is not available, generic connectors provide flexibility with data. Mobile Capabilities are made available to users through their mobile devices.