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Technical Levels are defined as:

High Advanced/Expert level: Technology concepts and implementation will be discussed in detail. Assumes fluency with the technology being discussed. Most likely to appeal to practitioners responsible for technology on a day-to-day basis
Medium Intermediate level. Technology concepts and implementation will be discussed, but the focus will be on decision-making and trends around the technology, rather than on the detailed working of the technology itself. Assumes familiarity with technical concepts but not necessarily detailed, hands-on knowledge.
Low Introductory or Business level. Technology concepts and implementation are addressed from a high level if at all, with the focus instead being on markets, industry trends, or leadership strategies in which the technology plays a role. No prior knowledge of the technology is required to understand the discussion.

Will Automation Break My Network Faster than I Can Fix It?

Terry Slattery (Principal Architect, NetCraftsmen)

Date: Thursday, March 21

Time: 8:00am - 8:45am

Pass Type: Entire Event, Tue-Thu Conference - Get your pass now!

Track: Management & Security

Technical Level: Medium

Vault Recording: TBD

Audience Level: Medium

Machine Learning (ML) and Artificial Intelligence (AI) are among the hottest topics throughout enterprise communications, and the impact of these technologies is being felt within the world of network management tools. ML promises better predictive analysis and troubleshooting, resulting in faster fixes and more efficient use of staff’s time. But how far have ML and AI progressed into product form, and what’s still on the drawing board? In this session, a leading network management expert walks you through the tools that are leveraging ML and AI, as well as reviewing the emerging field of "intent-based" management tools, and helps you understand what’s real today.

* How exactly can Machine Learning and Artificial Intelligence be applied to network management problems, and what specific benefits are gained?
* Who are the leading players in this space, and how do their offerings fit in with the tools and tactics you already have in place?
* Do ML and AI add significant cost to network management tools? How do you cost-justify them?
* How much do you have to know about ML and AI in order to understand your choices in ML/AI-enabled network management tools?