Lessons Learned from Big Data and AI/ML Collaboration for Giant Hogweed Eradication
Explore a conference talk detailing the application of deep learning and big data technologies in eradicating giant hogweed. Dive into the project overview, challenges faced, and architectural design of a system combining various specialties and large data volumes. Learn about data preparation, inference processing with Apache Spark, and data analysis phases. Gain insights into scaled machine learning systems, the balance between model development and operation, and strategies for creating dev-friendly and ops-friendly environments. Discover real-world use cases from Uber and Twitter, and examine patterns for selecting toolsets and software choices. Acquire valuable tips on function abstraction and detecting confidence deterioration in applications.