AI Engineering Insights
Chris and Daniel delve into the evolving landscape of AI engineering, emphasizing the shift towards edge computing for model deployment. They highlight the importance of adapting engineering practices to accommodate real-time data processing on diverse devices, underscoring the critical role of AI engineering in making AI solutions operational in various domains.In this clip
From this podcast
Practical AI
Roles to play in the AI dev workflow
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 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 is the role of AI in data engineering?