Xplain Data has been named a Sample Vendor for Causal AI in Banking in Gartner’s newly published “Hype Cycle for AI-Driven Trade Finance Transformation in Banking, 2026.” Causal AI in Banking appears on the Hype Cycle for the first time this year, with a “High” benefit rating at an “Emerging” maturity stage. Unlike correlation-based AI,…
We are pleased to announce that our CEO, Dr. Michael Haft, will participate in a panel discussion at ISPOR Europe 2026, the leading European conference for Health Economics and Outcomes Research (HEOR), taking place November 8–11, 2026, in Vienna, Austria. The panel, “The Future of Causal Inference: How Large (or Small) Role Will AI Play?”,…
Our CEO, Dr. Michael Haft, is featured in Issue #13 of Data & AI Magazine on “Understanding Cause and Effect: Is Causal Discovery the Missing Layer in Artificial Intelligence?” While generative AI continues to dominate the conversation, Causal AI focuses on a different question: not just what will happen, but why it happens. Understanding cause-and-effect…
We are proud to be featured in the new book “Industrial AI: from Pilot to Profit” by Boris Scharinger, Senior Innovation Manager and AI Strategist at Siemens Digital Industries. The book presents leading Industrial AI concepts, success factors, and real-world applications across manufacturing and industrial operations, and includes a Solution Brief on Xplain Data’s Causal…
Xplain Data, together with academic partners from the United States, presented new research at ISPOR 2026 in Philadelphia. The project,“Object-Centric Causal Discovery in MIMIC-IV: A Paradigm Shift for Identifying Risk Factors for Hospital-Acquired Pressure Injuries in Real-World Clinical Data,”has been accepted as a poster presentation. The work was developed in collaboration with Andy Wilson (University…
Our CEO, Dr Michael Haft, was recently featured on the Data Science Conversations podcast, where he discussed the growing importance of causal AI in modern data science. In the episode, Dr. Haft explains why predictive models alone are no longer enough. While traditional machine learning can forecast outcomes, it often fails to reveal the underlying…
At Xplain Data, we closely follow the latest breakthroughs in Causal AI — not only because they inspire our work, but because they define the future of reliable, explainable, and truly intelligent systems. One of the leading voices shaping this future is Prof. Elias Bareinboim, a renowned computer science professor at Columbia University and Director…
We are thrilled to announce that Xplain Data has won the productronica Innovation Award 2025 in the Future Markets Cluster with our breakthrough solution CausalDiscoverer YieldPro! 🏆 CausalDiscoverer YieldPro takes yield improvement to a new level. By analyzing all quality-related factors across process and design, it automatically identifies the true root causes of yield and…
Xplain Data GmbH is proud to announce it will be showcasing its cutting-edge Causal AI solutions at productronica 2025 in Munich (November 18–21, Hall B2, Booth 369/3). The company will demonstrate how its patented technology helps electronics manufacturers significantly increase efficiency, stability, and transparency by moving beyond symptoms to identify the root causes of production…
Xplain Data to present at GetReal Conference 2025 in Utrecht, Netherlands We are excited to share that Xplain Data has been selected to present at the GetReal Conference 2025, taking place 1–2 October 2025 at the Crowne Plaza Hotel in Utrecht, The Netherlands. Our abstract, “Advancing Real-World Evidence with Causal AI: A Scalable Framework for…
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