Press Release: Xplain ObjectAnalytics Database now running on Raspberry Pi 4 8 GB
Xplain Data´s ObjectAnalytics Database demonstrates scalability from the smallest computers to servers with 256 cores and TB of RAM Xplain…
Xplain Data´s ObjectAnalytics Database demonstrates scalability from the smallest computers to servers with 256 cores and TB of RAM Xplain…
Xplain Data announces its inclusion in the prestigious AI Startup Landscape 2023, a comprehensive analysis of Germany’s thriving AI startup…
July 19 marked a momentous occasion for the AI industry as Gartner released its highly anticipated 2023 AI report. Xplain…
Xplain Data, a leading provider of Causal AI solutions, is pleased to announce its successful participation in the Siemens AI…
84 % less scrap: cost reduction in cylinder head cover production thanks to AI algorithms from Munich-based startup Munich, Dec.…
The Gartner AI Hype Cycle™ 2022 outlines the key innovations in AI technology and techniques that go beyond the everyday…
Causality cannot be proven from observation data. However: with comprehensive data you can get close to proof! The more comprehensive your data, the less likely you are to misinterpret correlation as causation. Comprehensive data means a multi-layered data model.
Our ObjectAnalytics Database is designed to store such complex data – like millions of patients with billions of events (diagnoses, prescriptions, genomic data, etc.). Our Causal Discovery algorithms utilize this object-oriented data storage to efficiently search for direct and indirect explanations for a target event, thereby uncovering potential cause and effect relationships.
Why not develop next generation intelligent algorithms by operating on entire objects instead of tables, rows, and columns?
Unleash your creativity to build analytical applications with whole objects at your fingertips!
Easily understand causation beyond correlation, based on a holistic view of your business objects.