From Reactive to Self-Driving: AI-Driven Networking Webinar

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From Reactive to Self-Driving: The Future of AI-Driven Networking

 

As networks grow more complex and user expectations rise, IT teams are stuck in reactive mode, managing outages, rising costs, and constant troubleshooting with limited resources, making it clear that traditional approaches no longer work and that a smarter, AI-driven model is needed to regain control and drive better outcomes.

 

Organisations using AI-driven networking are achieving:

 

  • Up to 90% reduction in trouble tickets

  • 85% fewer on-site visits

  • 9x faster deployments

  • 67% faster issue resolution

  • Lower total cost of ownership (up to 64%)

 

AGENDA

 

  • How AI-driven networks can predict and prevent issues before they impact users

  • Why some organisations are seeing dramatic drops in tickets and troubleshooting time

  • What “self-driving network” really means and how close you are to achieving it

  • Where traditional network management is holding you back (and how to move beyond it)

 

Join us to discover what your network could look like if it worked for you not against you.
Register now and take the first step toward AI-driven IT.

 
 

REGISTER TO THE WEBINAR

We would be honoured if you could join us.

 

Can’t make the live broadcast? Register anyway and we will automatically
send you the full on-demand recording right after the session ends.

 

 

Date & Time

Thursday, June 25, 2026
11:00 AM - 11:45 PM

 

Location

Virtual Event

 

SPEAKERS

Keith Cahoon – HPE - AI Networking Specialist
Jon Howell – HPE Aruba- Industry AI & Smart Spaces leader

What you’ll walk away with:

 

  • A clear understanding of how AI transforms network operations

  • Practical strategies to reduce downtime and user complaints

  • A framework for moving toward a self-driving network

  • Real-world insights you can apply immediately

If you would prefer to drop us a message, email us info@vohkus.com to confirm attendance or call vour Vohkus Account Director on 0345 647 3000

 

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