Build. Experiment. Scale. Now With Open-Source AI Evaluation.NEW YORK, March 31, 2025 /PRNewswire/ -- AI is evolving fast—but making it work at scale remains a challenge. Today, Arthur is launching the Arthur Engine, the first open-source, real-time AI evaluation engine designed to help teams monitor, debug, and improve Generative AI and traditional ML models. No black-box monitoring

Generally available today, Recommender System Support vastly improves AI-driven recommender systems, resulting in elevated customer satisfaction levels and increased revenue growth for online businessesNEW YORK, Jan. 23, 2024 /PRNewswire/ -- Arthur , an AI performance platform trusted by some of the largest organizations in the world to ensure that their AI systems are well-managed and safely deployed, today introduced a powerful addition to its suite of AI monitoring tools: Recommender System Support. This new technology is set to revolutionize the way online businesses utilize recommender systems in the digital economy, enabling them to drive customer satisfaction levels and increase revenue growth.A vast portion of the modern internet economy is driven by AI-based recommender systems. For example, recommender systems are the engine behind the songs that play on Spotify, the movies that are suggested on Netflix, and what products are recommended on the Amazon homepage. Every advertising email delivered to an inbox, every social media post in a feed, and even which news articles are featured on a homepage are impacted by a recommender system. These systems, which analyze extensive data to predict and offer tailored product recommendations, can significantly boost customer satisfaction and revenue growth for e-commerce platforms, as well as engagement for streaming services and content providers.A major issue that exists for companies that rely on recommender systems without a good monitoring solution in place is that these systems are prone to performance problems as well as an incredible amount of data drift