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15.10.2023: Dr. Michael Haft performs @ML Week, Berlin

Mark your calendar: Xplain Data CEO takes stages at Machine Learning Week 2023 ML Week 2023 Talk: From Correlation to Causation – The Hunt for the Culprit Behind Machine Failures Let’s explore the realm of causality and expand our focus beyond manufacturing! Join us in Berlin to hear our CEO, Dr. Michael Haft, share his…

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Press Release: Xplain Data debuts autonomous Causal DiscoveryBOT @SPS 2023

Causal DiscoveryBot: AI Innovation at SPS 2023 Xplain Data introduces its autonomous Causal DiscoveryBot at SPS – smart production solutions 2023 in Nuremberg, Germany, November 14-16 Munich, October 10, 2023 – This groundbreaking bot works in the background of a plant and continuously analyzes the data from all production steps. The goal is to find…

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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 Data is excited to share a significant development that underscores software efficiency, particularly in its performance on compact hardware. The latest release, version 2.1 of ObjectAnalytics DB, brings forth an exciting capability: seamless operation on…

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Xplain Data recognized in AI Startup Landscape 2023

Xplain Data announces its inclusion in the prestigious AI Startup Landscape 2023, a comprehensive analysis of Germany’s thriving AI startup scene. Published annually by the appliedAI Institute for Europe, the report sheds light on the country’s AI startup ecosystem, driving the adoption of AI technologies and fostering new partnerships between startups and established companies. Being…

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Dr. Michael Haft on the Industrial AI Podcast

Dr. Michael Haft @Industrial AI Podcast Our CEO in conversation with AI expert Peter Seeberg on understanding causal relationships whether and how they can be proven using observational data what ObjectAnalytics is all about what it all means in terms of ML and AI how Causality can be applied in an industrial environment … and…