Data Challenges
Daniel Situnayake discusses the challenges of collecting and analyzing data specific to edge devices, as well as the difficulties of training models on streaming data. He emphasizes the importance of capturing representative data sets and analyzing model performance in context to ensure optimal results in real-world applications.In this clip
From this podcast
The Gradient
Daniel Situnayake: AI on the Edge
Related Questions
What are the challenges of deploying AI as discussed in the episode Daniel Situnayake: AI on the Edge and the clip Streamlining Embedded Machine Learning?
What problems do developers face when building AI applications as discussed in the episode Daniel Situnayake: AI on the Edge and the clip Streamlining Embedded Machine Learning?
What problems do developers face when building AI applications in the context of the episode Daniel Situnayake: AI on the Edge and the clip Streamlining Embedded Machine Learning?