Easwaran Krishnamurthy, VP & CIO of Building Solutions at Johnson Controls, discusses implementing AI in field service operations, improving data infrastructure, challenges in field service operations, enhancing service delivery with AI, leveraging the entire product lifecycle for revenue generation, and translating physical workflows into data.
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Quick takeaways
Field service leaders need consistent and cleansed data sets to effectively leverage AI models for improved service capabilities.
Augmented and virtual reality technologies, along with digital twin concepts, enhance technician training and bridge the gap between the real and virtual worlds, improving service efficiency.
Deep dives
Challenges faced by field service leaders in adopting AI
The biggest challenges for field service leaders in adopting AI are centered around data. They need consistent and cleansed data sets to leverage AI models effectively. Another challenge is providing field service technicians with access to relevant and rich data during customer interactions to enhance their service capabilities and enable them to solve problems efficiently.
The role of augmented reality and virtual reality in field service
Augmented and virtual reality technologies offer significant benefits to field service technicians, particularly in employee training. These technologies enable technicians to quickly gain expertise in various machines and equipment, ensuring safer and more efficient servicing. The concept of digital twin is also crucial, as it allows technicians to access a digital version of equipment and observe its functioning and data. These technologies enhance training, improve service efficiency, and bridge the gap between the real and virtual worlds.
How data tools help heavy industry leaders and ensure standard processes
Data tools are instrumental in heavy industry for various use cases, such as providing smart guidance to field service technicians before they arrive at a customer site. AI-powered tools like Janae AI can analyze service tickets, offering technicians advice based on previous data, streamlining problem resolution. Additionally, data tools help determine optimal service timelines and ensure standard processes by analyzing the product lifecycle and suggesting necessary actions based on historical data. These tools empower technicians, improve customer satisfaction, and drive revenue growth.
Today’s guest is Easwaran Krishnamurthy, VP & CIO of Building Solutions for North American and Global Field Operations at Johnson Controls. Johnson Controls is a major producer of fire, HVAC and security infrastructure for buildings. Easwaran, or “EK” for short, joins us on today’s podcast to discuss the practicality of putting AI in the hands of field technicians across heavy industry and B2B customer-facing workflows. Together with Emerj Senior Editor Matthew DeMello, EK brings a practical perspective to these challenges - outlining precisely where leaders will need to level up their data infrastructure at their organizations to leverage a future of copilot-empowered technicians helping customers and machines in the field. Today’s episode is sponsored by Aquant. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.
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