Enabling GAN Based Model to Produce Strong Long-Range Forecast
- Using Generative Adversarial Network (GAN) based models for accurate long-range forecasting: How does it compare to other models?
- Quantifying the data needed to produce a robust forecast
- Striking the right balance: Synthesizing an approach between GenAI and conventional methods
Mohsin Afridi
Lead Communications / Network Engineer
Cox Communications
Enhancing ISP Network and Service Optimization through Causal Inference and Knowledge Base Development
- Understanding the limitations of current AI techniques to define cause-effect relationships
- Developing a two-step approach to pinpointing bottleneck links and identifying major causes within these links
- Applying a reinforcement learning-based model that can iteratively learn from experiment results to refine actions in resolving bottleneck issues
- Assessing the effectiveness of creating a simplified abstracted tandem model and exploring its limitations
- Developing a framework to empower ISPs in optimizing latency and enhancing network performance
Sebnem Ozer
Distinguished Engineer
Charter Communications
Moderator
Yvette Kanouff
Partner
JC2 Ventures
