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b'As organizations increasingly introduce machine learning (ML) capabilities to their existing products, their artificial intelligence (AI) projects and operations complexity grows. As a result, they rapidly face challenges in managing complex ML workloads. MLOps is a growing field that addresses these challenges. But what is MLOps and how does Cisco support their customers by contributing to Kubeflow?\\n\\nListen in as Cisco Champions sit down with Cisco experts to discuss these challenges in Machine Learning operations and how Cisco has enabled solutions to help customers bridge the gaps in MLOPs and manage complex ML workloads with UCS and Kubeflow. \\n\\nLearn more: https://developer.cisco.com/kubeflow/?dtid=opdcsnc001469\\n\\nCisco Champion Hosts:\\nDaren Fulwell (twitter.com/darenfulwell), ANS Group, Technical Architect\\nPieter-Jan Nefkens (twitter.com/pjnef), Nefkens Advies, Network Consultant\\n\\nGuests: \\nDebo Dutta (twitter.com/dedutta), Cisco, Distinguished Engineer\\nElvira Dzhuraeva (twitter.com/elvirafortune), Cisco, Software Engineer \\n\\nModerator: \\nAmilee San Juan (twitter.com/amileesan1), Cisco, Technical Influencer Marketing and Cisco Champion Program'