Yasir Sheikh

In this kickoff keynote session, Yasir is speaking to the speed of AI adoption within Honeywell. The service industry has seen significant improvement in adopting AI solutions across different service functions. The speed of adopting, implementing, and measuring results has become a reality for AI solutions. With almost two decades of experience at Honeywell, Yasir is a forward-thinking service leader who is passionate about innovation and transformation. His expertise spans digital transformation, leadership strategies, and business growth which foster a mindset of improvement and agility.  In this session, you will explore how Honeywell is turning AI promises into measurable outcomes.

Key takeaways:

• Implementing strategies for enhancing customer experience through AI-powered self-service options and real-time communication.
• Learning techniques for cost reduction and increased profitability through AI-optimized resource allocation and proactive maintenance.
• Developing frameworks for successful AI integration, emphasizing the importance of a phased approach that aligns with business objectives.

Join Salesforce and Honeywell as they discuss how AI agents can play a role in every pillar of a field service operation, from asset management to scheduling & dispatch to management and of course, to the field itself. Learn tips from Honeywell on their approach to implementing AI, including their change management and roll out strategy.

Join panelists, as they demonstrate how to transform legacy data into actionable insights for modern field service analytics. This session will explore strategies to migrate, cleanse, and harmonize decades-old operational data with AI-driven tools, enabling predictive maintenance, optimized resource allocation, and cost-effective service models. Attendees will learn how to bridge historical datasets with real-time IoT platforms to forecast equipment failures, reduce downtime, and elevate customer satisfaction through data-driven decision-making.

Key Takeaways:

• Modernize legacy data through migration and cleansing to enable predictive analytics and AI integration.
• Leverage historical insights to forecast equipment failures and optimize technician dispatch processes.
• Transform field service operations by aligning legacy data with real-time IoT platforms for proactive decision-making.