ServiceNow: Enhancing Uptime with AI-Native Networks
Las Vegas Leads the Way in AI-Native Urban Solutions
John Bollen, an Industry Solutions Leader at ServiceNow, discusses the innovative integration between Juniper's AI-Native network infrastructure and ServiceNow's asset management capabilities. The collaboration aims to automate the provisioning, deployment, and maintenance of network equipment, significantly reducing the need for human intervention. By leveraging Juniper's AI to detect network degradation and ServiceNow's system of action to manage and resolve issues, the integration ensures improved uptime and a seamless user experience. The discussion also touches on the future potential of AI in enhancing data center configurations and response times for queries and support agents.
1. Introduction and Speaker Introduction
- John Bollen introduces himself and his role at ServiceNow. 0:00
2. Customer Success and Transformation
- Discussion on the focus of the customer success organization and transformation for customers like Juniper and ServiceNow. 0:03
3. Customer Integration Request
- A customer using Juniper infrastructure and missed APS seeks integration with ServiceNow. 0:15
4. Goals of Integration
- Goals include reducing time to provision equipment, deployment, and supporting Juniper native AI networks. 0:21
5. Data Ingestion and Asset Management
- ServiceNow's role in managing, provisioning, and maintaining assets, enhancing user experience, and enabling self-healing. 0:36
6. Juniper and ServiceNow Collaboration
- Juniper's network degradation detection and ServiceNow's system of action capabilities. 0:55
7. Automation and Uptime
- Achieving 100% automated uptime without human intervention through ServiceNow's ticketing and change control. 0:57
8. Future of AI and Integration
- Future evolution of Juniper and ServiceNow as AI grows, impacting data center configurations and response times. 1:16
You’ll learn
How ServiceNow helps manage assets and improve user experience by reducing physical contact and enabling self-healing capabilities
The role of AI in evolving and enhancing data center configurations and response times for queries and agents
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Transcript
John Bollen introduces himself and his role at ServiceNow.
0:00 [Applause]
0:00 [Music]
0:00 [Applause]
Discussion on the focus of the customer success organization and transformation for customers like Juniper and ServiceNow.
0:06 my name is John Bollen i'm an industry
0:08 solutions leader at Service Now i work
0:10 in our customer success organization
0:12 which uh focus on transformation for our
A customer using Juniper infrastructure and missed APS seeks integration with ServiceNow.
0:15 customers juniper and Service Now we
0:18 have some similar customers and so one
0:20 of our customers uh came to us they used
Goals include reducing time to provision equipment, deployment, and supporting Juniper native AI networks.
0:22 the infrastructure for Juniper and the
0:24 mistaps and they wanted to integrate
0:27 with service now but the goal was to
0:29 reduce time to provision equipment um
0:31 deploy and then also to support with the
0:34 juniper native AI networks we're able to
ServiceNow's role in managing, provisioning, and maintaining assets, enhancing user experience, and enabling self-healing.
0:37 take that data ingest it into service
0:39 now that helps manage the assets that
0:42 the company has it helps provision those
0:44 assets it helps maintain those assets
0:46 and it actually creates a much better
0:49 user experience because you've taken
0:51 away all the physical contact and uh
0:54 you're also able to
Juniper's network degradation detection and ServiceNow's system of action capabilities.
0:56 self-heal juniper does a great job of
Future evolution of Juniper and ServiceNow as AI grows, impacting data center configurations and response times.
1:18 and there becomes a unique fabric in
1:21 terms of how the data centers are
1:22 configured and clustered we'll see more
1:24 of these integrations but we'll also see
1:26 what's going on with AI and the response
1:28 times and it takes for queries and for
1:30 our agents and our chat bots to come
1:32 back to give us answers