Ready to start building an autonomous network that is self-aware and self-healing? The technology is already here, so there’s really nothing stopping you. In fact, here’s the webinar that will show you how it’s done.
SD-WAN and AI are two of the hottest technologies in IT today, but they’re even stronger when they work together. Integrate them and you’ve got a technology mashup deemed “AI-WAN” that has the potential to pave the way for the fully automated networks of the future. Zeus Kerravala, Principal Analyst at ZK Research and I will introduce you to the tools and techniques forward-leaning companies are using to build autonomous networks. Don’t miss our ondemand webinar.
If you’re one of the IT leaders still brooding over SD-WAN’s abilities to dynamically steer traffic across a mixed pool of connectivity types and move security to the network edge, you might be missing the bigger picture. SD-WAN’s hybrid networking capabilities are just the beginning. When you add AI technologies to the mix that’s when the far-reaching opportunities become more visible. That’s when you can see and understand how networks are becoming automated, creating a more transformative impact not just on the data transport–but on the IT operations.
While many IT leaders are fearful of automating their employees out of a job by replacing network engineers with machines, the truth is the human brain is less effective when it comes to analyzing the performance of today’s complex network environments:
Machine learning and behavioral analytics are highly effective tools for analyzing mountains of data and identifying subtle patterns into a simple report with suggested action plans. Companies that acknowledge these realities are using AI to promote their employees, elevating them from network administrators to strategic contributors.
We live in a world where more IT decisions are being assisted by machines, and the competitive edge is being defined by speed-to-evaluation and speed-to-change. How will you compete?
The sooner you learn how to apply AI in your network, the faster your organization will be able to fine tune an AI-WAN engine to deliver on your specific business needs. Network automation requires a carefully crafted AI-WAN ruleset and playbook as well as system coaching. You will need time to explore how AI-WAN evaluates your network environment and time to give it feedback, learning to trust the machine. The sooner you get started developing this trust the sooner you can recognize results.
Here’s your chance to learn from the experts, discovering the solutions on the market today and what is possible tomorrow. Attendees will learn:
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