Wednesday, 14 March, 15:30-17:00
Theater II, Hall E
Panel presentations on Machine Learning and practical implementations of its use in customer networks today. Industry early adopters and what they been able to deliver in saving of open as well and people resources by bringing modeling to bear on problem solving and making those models more intricate and interactive. Adding sensors to provide feedback and learn from this feedback that certain inputs derive an output A while other inputs derive an output B and reduce uncertainties of what happens when stimulus is received. These companies have worked with machine learning to manage a number of applications in Optical networks. They are here to tell you about those experiences. Much more than a mere tutorial on how to get things started but real examples of operational efficiencies delivered. They will be talking about experiences they have had implementing a model perfecting it and then using it in their operations and the results they have achieved so far in the areas of open saving and people resource saving and other efficiency gains.
Steve Plote, Optical Consulting Engineer, Nokia