Predictive Maintenance Webinar Presented by Microsoft and Happiest Minds
LIVE WEBINAR:1/11/2018 AT 10:00 AM PST
Join us as we discuss Predictive Maintenance for Equipment Manufacturers. During the webinar we will show you how AI and IoT, connected and smart ecosystem can ensure equipment uptime and maintenance schedules using historical data. Register now for the upcoming 60 minute webinar!
Learn and Apply:
Prevent costly equipment failures. Avoid unscheduled downtime by analyzing streaming data to assess conditions, recognize warning signs, and service your equipment—before it fails.
Learn from machine behavior to improve products. Capture and analyze data with machine-learning algorithms and use it to fine-tune processes and make modifications that improve product quality and increase customer satisfaction.
Maximize uptime. Increase the efficiency of your fleet and factories by using machine learning to proactively and strategically schedule maintenance when assets aren’t in use.
Director Business Development, Partnerships & Alliances, HappiestMinds
Sudhama is a business development leader in the Internet of Things (IoT) domain. With more than 17 years of experience in sales, new market development, account management in product engineering, smart energy and IoT, Sudhama has varied experience across large organizations like Wipro and NEC as well as IoT start-ups like Altiux Innovations and Cupola. He currently heads the partnerships and alliances for the IoT ecosystem at Happiest Minds.
Sr. Industry Manager for Manufacturing & Resources Industry, Microsoft
Neal is currently working as a Senior Industry Solutions Manager with the WW Discrete Manufacturing Group where he is responsible for Remote Monitoring and Predictive Maintenance scale solutions and industry Pod community management. He brings with him 20 years of experience in the Industrial Automation industry focusing on product development, application engineering, program management and cloud-based remote connectivity solutions. Neal enjoys the hands-on experience of developing and deploying IoT solutions using a variety of Microsoft technologies.
General Manager OEM Embedded, Microsoft
Tom O’Reilly is a General Manager of the IoT Device Experience team globally at Microsoft. Tom leads the global field marketing and breadth sales teams that work with our IoT ecosystem to help OEM’s, ISV’s, SI’s, Distributors and Aggregators learn about and build devices, services and implement cloud solutions on the Azure platform. His management responsibilities include business development, sales, channels and alliances. Tom has extensive experience in the information technology industry. Prior to joining Microsoft, Tom held a variety of global and regional senior executive positions including sales, marketing, business operations, business transformation and application development within multinational companies such as Amazon Web Services, Dell and Lenovo. Originally from Sydney Australia, Tom has lived and worked in China, Singapore and the US for more than 15 years.