AI/ML in Networking

The Good, the Bad, and the Ugly

If you want to learn about the self-driving network, or about autonomous networks, or self-healing networks, or self-configuring networks… don't bother with this webinar. We will not talk about that. While it is fair to oversell a bit certain product capabilities to capture attention (and do keep in mind that the webinar author happens to be a product manager at the moment), the first priority should always be to create valuable products that deliver tangible value, and set the right expectations around them.

Artificial Intelligence (AI) and Machine Learning (ML) represents a real opportunity in networking, and has some tangible use cases. We will mention them and evaluate the good parts of AI/ML and the opportunities it brings. We will also analyze the (sometimes not so nice) reality, the bad aspects and the most ugly ones. The goal of this webinar is to give you tools and decision points to help you explore the applicability of AI/ML in your context, understand the challenges and constraints, but also identify the opportunities, and set the basis for you to start this journey, either building your own tools or using commercial ones.


This webinar is part of Networking Fundamentals roadmap and accessible with free or standard subscription

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The Author

Javier AntichJavier Antich (46) has been in the Networking Industry for 23 years. He is currently responsible for Nokia NSP product strategy and product management lead for NSP Platform, Mediation, and Automation frameworks. Before joining Nokia he was Sr. Director PLM in the Automated WAN Solutions team at Juniper CPO organization, focused on Automation, Programmability, Telemetry & Analytics. Previous to that, he participated in the raise of the Carrier/Metro Ethernet market at Riverstone Networks.

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