1. We will be starting our talk with how user can corelate frontend and backend traces with OpenTelemetry's header based approach i.e. b3, tracecontext etc.

2. As many users are already comfortable with the 1st part, We will be talking next about the usecases of this corelation in businesses. For example, how user can ....

a. Detect a slow page load due to backend latency
b. Identify if the E-commerce site is working slowly in a particular region

3. The 2nd part of talk focuses more on the rule based issue identification, which is limited by the number of prebuilt rules we can determine. So, In the last section, we will talk about how we can feed this data to LLM models and let AI to come up with possible root causes of any problem at hand.