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Siddharth Shetty
Sr Director Analyst
Gartner
Speaker Topics
- Generative AI, Agentic AI and AI
- I&O Automation
- IT Service Management (ITSM)
Speaker Bio
Siddharth Shetty is a Sr. Director, Analyst working in Gartner's IT Service Management team. Mr. Shetty's research focuses on IT service support management, IT service management (ITSM), ITSM assessment, service desk, incident management, problem management, IT change management, request management, service catalog management, service level management, frameworks such as ITIL and standards such as ISO 20000. He also specializes in the development of service management offices, enterprise service management (ESM), using AI for ITSM and IT service desk and IT Score maturity assessments.
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Sessions
Monday, 01 June, 2026 12:30 PM - 01:00 PM IST
AI Use Cases for IT Support That Will Transform Your IT Service Desk
Siddharth Shetty,
Sr Director Analyst, Gartner
Identify the AI use cases relevant to IT support in infrastructure and operations and reveal which of these will transform tomorrow. I&O leaders can use this information to identify the best AI for ITSM use cases for their IT service desk organizations, based on use case feasibility and business value.
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Tuesday, 02 June, 2026 11:00 AM - 11:20 AM IST
Magic Quadrant for AI Applications in IT Service Management
Siddharth Shetty,
Sr Director Analyst, Gartner
AI applications in IT service management are tools that use AI to augment and extend ITSM workflows, offering intelligent advice and actions for I&O leaders and their IT support teams. This session will provide valuable market insights and guidance on critical capabilities that can be leveraged to optimize service desk practices.
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Tuesday, 02 June, 2026 12:30 PM - 01:15 PM IST
Ask the Expert: How Do You Deploy AI at Your Service Desk?
Siddharth Shetty,
Sr Director Analyst, Gartner
Join this lightly facilitated discussion to exchange best practices and challenges with defining and deploying AI at your service desk. Share your experiences (both good and bad!) and learn from your peers on what worked for them and what they would do differently next time.
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