[00:00–00:08] Definition of AI inference: Explanation of AI inference as the phase where a trained AI model processes live input data to make real-time predictions or decisions
[00:08–00:19] Inference in operational workflows: Overview of how everyday enterprise workloads depend on AI inference behind the scenes whenever triggered
[00:19–00:33] Training vs. inference: Comparison highlighting that training builds the model using static lab data, whereas inference applies learned logic to dynamic live traffic
[00:33–00:46] Transition to production: Discussion on the importance of getting AI inference right when moving an application from prototype to production