The Factory of the future has different names; some refer to it as Smart factory, Industry 4.0, or simply as Digital enterprises.
In recent times, industries have faced many challenges, mainly in acquiring skilled workers, improving inventory and supply chain management, customer satisfaction, high-grade manufacturing products, and affordability. The pandemic is like an added burden on top of it all.
The future of the factory of the future is the next industrial revolution as most of the major economies of the world are embracing it. Industry 4.0 or Smart factories will be automated and digitized, as the name implies. This will ensure faster production cycles, turnaround time, safer worksites, diligent distribution of products, high and precise quality checks, and much more. This revolution will also call for a highly educated and skilled workforce to operate and optimize the technology to its best use.
- What is factory of future?
- What is Smart manufacturing?
- What are the various processes to create smart manufacturing?
- How to apply the appropriate technology to get the desired business outcomes
- How can the industries come out of the impact of the pandemic?
- How we can use Microsoft technologies of today in all areas of business to derive value.
- What are the predictions for the future of the factory of future?
- Panel discussions about the predictions of the future of the factory of future
- Messages and queries from the Listeners
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Know our speakers
Marty Groover is a retired Naval officer and a partner in C5MI. He heads the functional and technical teams that help solve manufacturing business challenges by integrating people, process and technology to create C5MI’s Live Factory® and Digital Reliability Cantered Maintenance® solutions for Industry 4.0.
COO for Yash Technologies America and managing partner of C5MI
Don Young comes from a military background and is the COO for Yash Technologies America and managing partner of C5MI. He is passionate about the digitization of manufacturing and supply chain processes and the utilization of real or near-time data.