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Kyndryl at ServiceNow Knowledge 2025

May 6-8, 2025
Booth #3512
Las Vegas, NV

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Kyndryl at Knowledge 2025

Kyndryl is a Gold sponsor at Knowledge 2025, the premier event for ServiceNow customers and partners worldwide. At this event, we will showcase our joint capabilities with ServiceNow and help unite people, processes, data and platforms through AI and automation.


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Networking Event
Kyndryl Networking Reception

When: Wednesday, May 7, 2025, 6pm - 8pm PST
 

Join us for a high-level thought leadership discussion and peer networking event.

Register now Learn more about our partnership
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Featured session
AI transformation journey to achieve high availability

When:  Tuesday, May 6, 2025, 12pm - 12:20pm PST 
Moderator: Venkat Ram, ServiceNow Certified Master Architect


Improve availability and reduce operational risks and costs with Kyndryl’s AIOps. Our solution better understands strategy and IT management platforms to provide strategic insights. AIOps can interpret patterns and anomalies using ServiceNow AI and use Now Assist to recommend solutions while automating actions and resolving issues with Agentic AI.

Key Topics: AIOps | Agentic AI | Now Assist 

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Featured session
Kyndryl leading the way - ServiceNow HRSD on Microsoft Azure

When: Tuesday, May 6, 2025, 2pm - 2:30pm PST
Speakers: Naren Mudumbi, Associate Director – Hyperscalar Business Development

 

Kyndryl used Microsoft Azure’s scale and integration with its own infrastructure to implement ServiceNow HR service delivery. This enabled seamless HR case and knowledge management, elevating employee experience and streamlining processes.

Key Topics: HR service delivery | Microsoft Azure | Employee experience | Process improvement

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Featured session
Your roadmap to mature data, workflow and AI - Q&A with customers

When: Tuesday, May 6, 2025, 4:15pm - 4:45pm PST           
            Wednesday, May 7, 2025, 4pm - 4:30pm PST
Speaker: Tanya Wall Martin, Director, Alliances
 

A comprehensive plan for advancing data workflow and AI involves a multi-phased roadmap, assessing current capabilities, prioritizing data quality, streamlining workflows for automation and implementing AI solutions for business needs, with key components being data governance and adoption.

Key Topics: Data workflow | AI | Automation

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