Arthur AI
Sophia Swiderski is a Solutions Engineer at Arthur since December 2023, with prior experience as an AI/ML Ops Tech Lead at Subconscious.ai where prototypes for AI-augmented research were developed utilizing GPT's API. A background in consultancy includes roles at Global Partners, LLC, focusing on control procedures for a global bank and fiscal analysis for a custody bank. At Xandr, contributions spanned from Senior Integration Engineer to capability specialist, facilitating integrations with major clients like Verizon and enhancing internal tools for improved efficiency. Educational credentials include a Master of Science in Computer Science and a Bachelor's degree in Psychology from Northwestern University.
Arthur AI
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Arthur is a proactive model monitoring solution that gives you the confidence that your AI deployments are performing as expected, and the peace of mind that you can catch and fix issues before they derail your models. With advanced performance monitoring, bias detection, and customizable alerts, you’ll never miss an issue; and Arthur’s explainability engine makes runtime debugging a breeze with prediction-level explanations, even for black box models. No matter where your models are deployed, Arthur brings them all into view in a centralized platform. Give your data science team the freedom to use whichever deployment frameworks and engines they want, with the knowledge that you’ll be able to monitor models anywhere with just a single line of code.