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INDUSTRY
Manufacturing
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Future-Ready Manufacturing: Partnering in your journey to a sustainable manufacturing enterprise
As the manufacturing value chain faces disruptions, know how TCS’ framework drives innovation and AI technology in manufacturing for better agility and growth.
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Generative AI enables finance leaders to make better decisions with predictive insights and improve cashflow, working capital management, and more. Learn how.
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JLR’s David Nesbitt talks about their collaboration with TCS and its role in designing software-defined vehicles, driving sustainability and enhancing CX.
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Highlights
- Manufacturers are changing their business models to focus more on value-added service propositions rather than exclusively selling a product.
- Predictive maintenance in field service enterprises is important to determine the remaining life cycle of components and ensure timely replacements.
- The podcast sheds light on how field service organizations can resolve equipment issues, reduce downtime in a manufacturing setup, boost productivity and efficiency, and reduce the cycle time to improve overall customer experience.
The role of predictive maintenance in servitization
The role of predictive maintenance in servitization
23:46 / 23:46
Manufacturers are shifting from a product-focused operation to a more customer and outcome-focused functional framework as the concept of product-as-a-service (PaaS) gains prominence in the industry.
The Speaking of Service podcast provides an ideal platform for manufacturing industry experts to share their perspectives on the industrial internet of things (IIoT) and various other aspects of service. The speakers cover ways in which IIoT can improve service and deliver value to an enterprise, including the need for remote condition monitoring, predictive maintenance, and optimizing maintenance costs, among others.
In this episode of Speaking of Service, we tune into a conversation between Mohan Gatta, Managing Partner, service lifecycle management, Tata Consultancy Services (TCS) and host Chris MacDonald, an artificial intelligence (AI) and analytics expert.
Mohan and Chris discuss the role of predictive maintenance in field service organizations. They talk about how manufacturers are building machine learning (ML) models to leverage sensor data to determine the remaining life of components and predict the need for equipment repair. Mohan, with his experience across the oil and gas, automotive, and aerospace sectors, shares his learnings on how to grow service revenue, control costs, and drive greater returns for customers.
Listen in to know more about why IIoT predictive maintenance is a crucial aspect for all field service enterprises and the greater ecosystem in an increasingly digitalized world.
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