Ritesh Agarwal, Computer Vision Lead at Globus Medical, presents the “Practical Strategies for Successful Implementation and Deployment of AI-based Solutions” tutorial at the May 2024 Embedded Vision Summit.
AI models that produce accurate results on test data are a necessary component of successful applications, but by themselves they are insufficient. In this talk, Agarwal delves into often-overlooked, but critical, elements required to create and sustain a robust application solution based on AI models.
Agarwal explores the need for deep understanding of model performance and highlights techniques for identification of specific hyperparameters that can be tuned to optimize real-world accuracy. He also examines the importance of pre- and post-processing and the advantages of using multiple models in concert to improve accuracy. Finally, at the organization level, he provides recommendations for improving product development via synergy between data engineers, application domain experts, machine learning engineers, data scientists, quality assurance engineers, DevOps specialists and software engineers.
See here for a PDF of the slides.
