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Daniel O'Sullivan is a leading figure in the field of Machine Learning Operations (MLOps) and Artificial Intelligence. He is the co-founder and CEO of Seldon, a company dedicated to helping organizations deploy, monitor, and manage machine learning models at scale. With a PhD in AI and extensive experience in building and scaling AI-driven products, Daniel is passionate about open-source technology, responsible AI, and enabling businesses to harness the power of machine learning effectively. He is a frequent speaker at industry events and a thought leader in the MLOps community, advocating for best practices in AI deployment and governance.
Daniel O'Sullivan's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Successfully co-founded Seldon in 2014, growing it into a leading open-source MLOps platform used by enterprises worldwide to manage and deploy machine learning models in production environments.
Spearheaded the development of Seldon Core, an open-source framework for machine learning model serving, orchestration, and monitoring, which has become a CNCF incubating project.
A prominent voice in the AI community, promoting ethical AI development, robust MLOps practices, and the importance of explainability and governance in machine learning systems through talks, articles, and community engagement.
Holds a PhD in Artificial Intelligence from University College London (UCL), providing a strong academic foundation for his work in applied AI and MLOps.
NYU Tandon School of Engineering
Technological University Dublin
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Gyst was a personal productivity and organization application designed to integrate and manage contacts, calendars, tasks, and notes. Aimed at being a central hub for personal information management, it was often described as a 'digital life assistant.' Gyst was acquired by CommonGround (which became Groupspark, then Name TBA) in 2010, effectively ceasing independent operations.
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