Automated Model Tuning with SigOpt - #324

Scott Clark, Co-founder and CEO of SigOpt, dives into automated model tuning and its transformative potential for AI applications. He showcases SigOpt's platform with a live demo, highlighting how tailored solutions drive efficiency in enterprise modeling. The discussion covers the importance of customization, the need for effective experimentation platforms, and strategies to navigate machine learning optimization. Clark also explains Bayesian optimization techniques for parameter tuning, emphasizing a holistic approach to balancing multiple performance metrics.