At Machine Learning Week 2024 in Munich, Xplain Data’s CEO, Dr. Michel Haft, joined Siemens’ Erik Schwulera to present an exciting use case on how Causal AI is transforming printed circuit board production. By leveraging our innovative Causal DiscoveryBot and ObjectAnalytics, Siemens is uncovering previously hidden error causes and driving unprecedented efficiency gains—an important step…
Xplain Data has been honored with the prestigious ChampI4.0ns Award 2024 at the Global Data Spaces Connect 2024 (GDSC24) in Vienna. The award recognizes our groundbreaking project on PCB production optimization using Causal AI, which is celebrated for its innovative approach and significant industry impact. The event brought together over 250 global experts, decision-makers, and…
IDC Innovator 2024: Xplain Data has been named an IDC Innovator in: “Industrial AI Applications and Solutions, 2024”. IDC Innovators are emerging vendors with annual revenues under $100 million that have demonstrated either a groundbreaking business model or an innovative new technology — or both. The IDC Innovators report profiles vendors that provide innovative artificial…
Xplain Data Honored in Seventh Annual German AI Startup Landscape (2024) Xplain Data is proud to announce its inclusion for the second consecutive year in the Seventh Annual German AI Startup Landscape (2024) report, published by the renowned appliedAI Institute for Europe. This prestigious recognition highlights Xplain Data’s commitment to advancing the field of Applied…
The Gartner AI Hype Cycle ´24 is out, and Causal AI continues its steady ascent! Causal AI is no longer a brand-new concept – it’s been gaining momentum as an innovation hype over the past two years confirming its growing importance and potential to revolutionize decision-making. Xplain Data and a select few others are pioneering…
Art, agencies, and AI: A vibrant mix at the House of Communication in Munich’s trendy Werksviertel – and a perfect new home for the Siemens AI with Purpose Summit! We were thrilled to be part of the Siemens AI with Purpose Summit 2024 (powered by Siemens AI Lab) in this vibrant new location. Over two…
How can we support health innovation through data sharing and AI? The future of healthcare in Germany was passionately discussed in the venerable rooms of the Bavarian Academy of Sciences and Humanities (BAdW). Two topics took center stage: the solution to the German data protection dilemma and the importance of Causal AI for quickly gaining…
9th Rockwell Smart Manufacturing Report How does the future of Smart Manufacturing look? In its largest report to date, Rockwell Automation surveyed more than 1,500 decision-makers from 17 of the top manufacturing countries. The Rockwell Smart Manufacturing Report provides insights into trends, challenges and their strategies for future-proofing their operations. The report’s findings underscore a…
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…
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…
You are currently viewing a placeholder content from Facebook. To access the actual content, click the button below. Please note that doing so will share data with third-party providers.
More InformationYou need to load content from reCAPTCHA to submit the form. Please note that doing so will share data with third-party providers.
More InformationYou are currently viewing a placeholder content from Instagram. To access the actual content, click the button below. Please note that doing so will share data with third-party providers.
More InformationYou are currently viewing a placeholder content from X. To access the actual content, click the button below. Please note that doing so will share data with third-party providers.
More Information