<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>kwantis news: Anomaly detection solutions</title><description>Kwantis news about Anomaly detection solutions.</description><link>https://kwantis.com/</link><item><title>SPE Europe: AI-Based Anomaly Detection in Logging Data</title><link>https://kwantis.com/2025/06/18/spe-europe-ai-based-anomaly-detection-in-logging-data/</link><guid isPermaLink="true">https://kwantis.com/2025/06/18/spe-europe-ai-based-anomaly-detection-in-logging-data/</guid><description>At the 2025 SPE Europe Energy Conference and Exhibition in Vienna, Fabio Concina from Kwantis presented an innovative AI-based solution aimed at enhancing the quality of surface logging data. His work, titled “Detecting Low-Quality Intervals in Surface Logging Data Using AI-Based Anomaly Detection,” demonstrates how advanced machine learning techniques can effectively identify and address…</description><pubDate>Wed, 18 Jun 2025 08:36:05 GMT</pubDate></item><item><title>AI4Energy Workshop: Anomaly Detection Pipeline for Surface Logging Data</title><link>https://kwantis.com/2024/10/09/ai4energy-workshop-anomaly-detection-pipeline-for-surface-logging-data/</link><guid isPermaLink="true">https://kwantis.com/2024/10/09/ai4energy-workshop-anomaly-detection-pipeline-for-surface-logging-data/</guid><description>The SPE DSEA AI 4 Energy Workshop is a one-day event hosted by the Society of Petroleum Engineers (SPE) Aberdeen Section in collaboration with the SPE London Section. It focuses on practical applications of Artificial Intelligence (AI) in the energy industry, specifically in Data Science and Engineering Analytics (DSEA).</description><pubDate>Wed, 09 Oct 2024 08:56:09 GMT</pubDate></item><item><title>Kwantis Implements AI Techniques for Data Quality Assessment</title><link>https://kwantis.com/2024/04/10/kwantis-implements-ai-techniques-for-data-quality-assessment/</link><guid isPermaLink="true">https://kwantis.com/2024/04/10/kwantis-implements-ai-techniques-for-data-quality-assessment/</guid><description>Kwantis’ Digital Lab is making use of Artificial Intelligence (AI) to enhance Data Quality evaluation. Our Data Quality pipeline for time-series data is a 2 step process, starting from non-AI based univariate anomaly detection methodologies and ending with more complex AI models.</description><pubDate>Wed, 10 Apr 2024 10:51:56 GMT</pubDate></item></channel></rss>