Improving Passenger Experience By Implementing IoT Predictive Maintenance In Railways IoT CD V

Slide 1: This slide highlights the presentation title: Improving Passenger Experience by Implementing IoT Predictive Maintenance in Railways.
Slide 2: This slide states Agenda of the presentation.
Slide 3: This slide shows Table of Content for the presentation.
Slide 4: This slide highlights title for topics that are to be covered next in the template.
Slide 5: This slide provides an overview of predictive maintenance to analyze and process gathered data.
Slide 6: This slide provides an overview of the IoT predictive maintenance benefits to business.
Slide 7: This slide provides an overview of the IoT predictive maintenance need for optimizing operations management.
Slide 8: This slide provides an overview of the IoT-based predictive maintenance implementation process.
Slide 9: This slide provides an overview of the various types of maintenance for data collection and analysis along with their description and advantages.
Slide 10: This slide provides an overview of the essential IoT predictive maintenance components.
Slide 11: This slide provides an overview of the IoT predictive maintenance architecture to gather, analyze and store data.
Slide 12: This slide highlights title for topics that are to be covered next in the template.
Slide 13: This slide provides an overview of the predictive maintenance market.
Slide 14: This slide provides an overview of the predictive maintenance trends and technologies used for remote monitoring and improved working.
Slide 15: This slides provides an overview of the IoT predictive maintenance changing trends.
Slide 16: This slide provides an overview of the emerging trends of multiple technologies.
Slide 17: This is another slide continuing overview of the emerging trends of multiple technologies.
Slide 18: This slide highlights title for topics that are to be covered next in the template.
Slide 19: This slide provides an overview of the issues faced in implementing predictive maintenance along with their solutions.
Slide 20: This is another slide continuing overview of the issues faced in implementing predictive maintenance along with their solutions.
Slide 21: This slide highlights title for topics that are to be covered next in the template.
Slide 22: This slide provides an overview of the multiple technologies used to enhance efficiency, productivity and workplace safety.
Slide 23: This slide provides an overview of the big data technology used to optimize maintenance schedules.
Slide 24: This slide provides an overview of the cloud computing used to increase reliability and transparency.
Slide 25: This slide provides an overview of the edge computing used in IoT predictive maintenance to generate real-time results from gathered data.
Slide 26: This slide provides an overview of machine learning in IoT predictive maintenance to improve organizational performance by using historical data for forecasting.
Slide 27: This slide provides an overview of the AI used for equipment monitoring and management.
Slide 28: This slide highlights title for topics that are to be covered next in the template.
Slide 29: This slide showcases the use of predictive maintenance in the oil and gas industry with the help of sensors, algorithms, etc.
Slide 30: This slide provides an overview of the IoT technology adoption benefits to oil companies.
Slide 31: This slide provides an overview of the process followed to implement smart predictive maintenance.
Slide 32: This slide provides an overview of the IoT predictive maintenance conceptual framework regarding pipeline installation and working.
Slide 33: This slide highlights title for topics that are to be covered next in the template.
Slide 34: This slide provides an overview of the adoption of predictive maintenance by manufacturing firms to gain a competitive edge and optimize resources.
Slide 35: This slide provides an overview of the predictive maintenance architecture to describe the workflow.
Slide 36: This slide provides an overview of predictive maintenance to analyze and process gathered data.
Slide 37: This slide highlights title for topics that are to be covered next in the template.
Slide 38: This slide provides an overview of the predictive maintenance in railways to enhance passenger experience.
Slide 39: This slide provides an overview of the predictive maintenance benefits.
Slide 40: This slide provides an overview of the railway’s maintenance architecture.
Slide 41: This slide provides an overview of the issues faced in adopting IoT predictive maintenance along with the description.
Slide 42: This slide provides an overview of the IoT-enables predictive maintenance solution for the railway industry that ensures seamless workflow.
Slide 43: This slide highlights title for topics that are to be covered next in the template.
Slide 44: This slide provides an overview of the real-life example of a firm that used an IoT platform to optimize its HVAC systems with an aim to avoid service disruptions.
Slide 45: This slide provides an overview of the company that wanted an efficient platform for oil monitoring.
Slide 46: This slide provides an overview of the company that faced difficulty in production due to downtime and breakdowns.
Slide 47: This slide provides an overview of the company that faced difficulty due to long production downtime.
Slide 48: This slide highlights title for topics that are to be covered next in the template.
Slide 49: This slide provides an overview of the IoT predictive maintenance implementation’s positive impact on the firm.
Slide 50: This slide contains all the icons used in this presentation.
Slide 51: This slide is titled as Additional Slides for moving forward.
Slide 52: This slide shows Global predictive maintenance market size.
Slide 53: This slide presents Machine learning process to develop models.
Slide 54: This slide displays Working of machines using IoT predictive maintenance.
Slide 55: This slide represents Advantages of implementing IoT predictive maintenance.
Slide 56: This slide showcases Edge computing technology for various industries.
Slide 57: This slide contains Puzzle with related icons and text.
Slide 58: This slide shows SWOT describing- Strength, Weakness, Opportunity, and Threat.
Slide 59: This slide depicts Venn diagram with text boxes.
Slide 60: This slide presents Roadmap with additional textboxes.
Slide 61: This is Our Mission slide with related imagery and text.
Slide 62: This is a Thank You slide with address, contact numbers and email address.