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How AI Services Can Save You Time, Money, and Energy with Jay Hsueh, CEO and Founder of Roby

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Manage episode 302942990 series 2802477
Content provided by Greg Owens. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Greg Owens or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

Jay Hsueh is the CEO and Founder of Roby, a conversational AI service that streamlines the modern office. Roby’s mission is to create an engaged, productive workplace by making customer operations efficient, simple, and personalized. Before Roby, Jay served as the Analog Design Engineer for NXP Semiconductors and participated in Techstars’ Alexa Accelerator program. He has also founded two other companies, LiWi LLC and Room2music. Jay attended the National Cheng Kung University and the University of Southern California.

In this episode…

Are you getting distracted in your work environment because the room is too hot or too cold? Is your company spending too much time, energy, and money on employee requests and facilities management calls? We may have the solution for you: Roby.

The AI service hub, Roby, is transforming businesses across all industries. The platform automates employee requests and uses energy-saving equipment and data analytics to keep everyone in the office comfortable, happy, and productive — while saving your business money. So, how exactly does this service work, and how can you implement the software into your company today?

In this episode of Watching Paint Dry, Greg Owens and Katrina Stephenson sit down with Jay Hsueh, the CEO and Founder of Roby, to talk about how the platform is helping companies become more efficient. Jay breaks down the Roby process, shares examples of how the software is supporting innovation for both legacy companies and small businesses, and talks about his predictions for the future of AI. Stay tuned!

  continue reading

73 episoade

Artwork
iconDistribuie
 
Manage episode 302942990 series 2802477
Content provided by Greg Owens. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Greg Owens or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

Jay Hsueh is the CEO and Founder of Roby, a conversational AI service that streamlines the modern office. Roby’s mission is to create an engaged, productive workplace by making customer operations efficient, simple, and personalized. Before Roby, Jay served as the Analog Design Engineer for NXP Semiconductors and participated in Techstars’ Alexa Accelerator program. He has also founded two other companies, LiWi LLC and Room2music. Jay attended the National Cheng Kung University and the University of Southern California.

In this episode…

Are you getting distracted in your work environment because the room is too hot or too cold? Is your company spending too much time, energy, and money on employee requests and facilities management calls? We may have the solution for you: Roby.

The AI service hub, Roby, is transforming businesses across all industries. The platform automates employee requests and uses energy-saving equipment and data analytics to keep everyone in the office comfortable, happy, and productive — while saving your business money. So, how exactly does this service work, and how can you implement the software into your company today?

In this episode of Watching Paint Dry, Greg Owens and Katrina Stephenson sit down with Jay Hsueh, the CEO and Founder of Roby, to talk about how the platform is helping companies become more efficient. Jay breaks down the Roby process, shares examples of how the software is supporting innovation for both legacy companies and small businesses, and talks about his predictions for the future of AI. Stay tuned!

  continue reading

73 episoade

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