From the course: AI for Telecom: Network Optimization and Security in 5G/Edge Systems
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AI stack design
From the course: AI for Telecom: Network Optimization and Security in 5G/Edge Systems
AI stack design
- [Instructor] Designing AI for telecom isn't just about models. It's about making the network smarter end to end. In this session, we'll explore how to build AI systems that fits the real demand of telecom operations. But wait, I want you to imagine if your telecom network could explain why latency is spiking. With AI, it can by analyzing patterns, pinpointing root causes, and suggesting real-time fixes before users can even notice. Now, how do you set up the right design for your AI applications? It all starts from problem scoping. Then you need to think about data processing, data architectures, as well as setting up the right framework is important. And lastly, security design is what will give you a competitive edge. Let's start by defining the use case. An example could be a network fault prediction in which the objective is to forecast failures and outages. The outcome can be a smarter preventive maintenance. Remember always, your use case has to be aligned with your business…
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