AIOps for Networks: The Impact of AI on the Future of IT Networking Operations

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Artificial Intelligence for IT networking operations, or AIOps, has landed. But how will AIOps impact the daily lives of network engineers and IT networking practitioners? Jussi Kiviniemi (@JussiKiviniemi) hosts a discussion with Ed Henry (@EdHenry_), Ed Horley (@ehorley), and Marcel Hild (@durandom) to discuss the impact of AI on the future of networking operations. What is AIOps? Will AI require new skills? How does AI improve network operations? How do I get started with AIOps? Find answers to these and many more questions addressed in this roundtable discussion.

2:56 Will AI take away my job?
8:00 What is AI? How is machine learning different from traditional programming?
12:25 What are forms of intelligence?
16:00 Understanding and assessing AI systems
18:22 Understanding data, human priors, and representations
21:30 Training AI
27:00 Applying learnings from computer vision to networking
28:00 A grand theory of networking
30:45 Breaking with traditional networking approaches
32:00 Modeling the network
33:00 Demo of Juniper's Marvis Virtual Network Assistant
34:10 Other tangible examples of AIOps
37:25 Starting the journey of AIOps
41:45 Building a data sciences practice
55:55 Recommendations for resources
1:02:00 Where do we go next with AIOps?

For more resources on AIOps:
Why AI?: https://www.juniper.net/us/en/dm/why-ai.html
What is AIOps?: https://www.juniper.net/us/en/research-topics/what-is-aiops.html
What is AI for networking?: https://www.juniper.net/us/en/research-topics/what-is-ai-for-networking.html
Juniper Networks AIOps solution page: https://www.juniper.net/us/en/solutions/artificial-intelligence-for-it-operations-aiops.html
Category
Juniper Networks
Tags
AIOps, AI, Explainable AI
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