From Watson to Wireless: How machine learning has evolved
Wireless networking isn’t new. But new devices and applications have changed the wireless game, making it more business critical than ever – and harder to manage.
Enter machine learning, which has emerged as a predominate technology for taking wireless into the smart device era. By automating mundane tasks and providing predictive recommendations, machine learning simplifies wireless operations while ensuring a consistent and reliable mobile experience.
This session will discuss the role of machine learning in wireless networks. More specifically, it will discuss:
- Basic machine learning principles and how they are applied to wireless networking
- Specific use cases for machine learning in wireless, such as event correlation, predictive recommendation, and location tracking
- Where machine learning is going, and how you can take advantage of it now
Presenter Name: Sudheer Matta
Presenter Bio: Extensive Product Management and Business Development experience, with a keen customer focused business sense. A very capable leader, with proven ability to motivate teams, for higher productivity and synergistic chemistry. The perfect mix of technical depth and market understanding for the Wi- Fi business. Proven ability to develop successful strategy based on the business need and market analysis. Strong analytical and planning skills, to execute to a set strategy.