
Re-Architecting Data Science at iRobot with Angela Bassa - TWIML Talk #294
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Navigating Robotics Platforms and Data Management
This chapter explores the interplay of hardware, software, and cloud solutions in robotics, emphasizing the significance of a DevOps approach in enhancing code ownership and data handling. It details the integration challenges faced at iRobot while developing cloud operations and highlights the need for a centralized data lake to facilitate uniform data access for researchers. Additionally, the chapter discusses architectural considerations for machine learning models and the tools used to optimize data management within a robotics context.
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