AI in Action E188: Lou Zhang, Director of Data Science at MachineMetrics

,  | March 26 2021 | JP Valentine

Welcome to episode 188 of the AI in Action podcast, the show where we break down the hype and explore the impact that Data Science, Machine Learning and Artificial Intelligence are making on our everyday lives.

Powered by Alldus International, our goal is to share with you the insights of technologists and data science enthusiasts to showcase the excellent work that is being done within AI in the United States and Europe.

Today’s guest is Lou Zhang, Director of Data Science at MachineMetrics. Founded in 2014, MachineMetrics is manufacturing’s first Industrial IoT Platform for Machines. They transform analytics into action through universal machine connectivity, cloud data Infrastructure and communication workflows that optimize machine operation. Extensible both in the cloud and at the edge, the platform is powering vertically-focused use cases for manufacturers to digitize legacy manufacturing processes and drive more profitability with their machines.

Lou is responsible for driving data science strategy, technical leadership and revenue from predictive machining products. They develop patented and novel approaches to solving open-ended problems in manufacturing using machine learning, data mining and statistical modeling, specifically in regards to predictive technology involving embedded sensors. It is their mission to conceptualize and bring-to-market predictive machining solutions for Industry 4.0.

In the episode, Lou will tell you about:

The interesting roles he has held over the years

MachineMetrics impact in the Manufacturing sector

The benefits that their IoT Platform brings to the industry

How their Data Science team has evolved

Why we should embrace Industrial Automation

To find out more about Lou and all the great work at MachineMetrics, check out the website www.machinemetrics.com or follow them on Twitter @MachineMetrics. You can also connect with Lou on Linkedin

What did you think of Lou’s podcast? Where do you see the future of AI and Data Science in the Manufacturing sector heading in the next few years? We would love to hear your thoughts on this episode, so please leave a comment below.

If you would like to hear more from AI in Action then please subscribe and don’t forget to like and share with your friends on social media.

Subscribe to The Alldus Podcast: 

     

Welcome to episode 188 of the AI in Action podcast, the show where we break down the hype and explore the impact that Data Science, Machine Learning and Artificial Intelligence are making on our everyday lives.

Powered by Alldus International, our goal is to share with you the insights of technologists and data science enthusiasts to showcase the excellent work that is being done within AI in the United States and Europe.

Today’s guest is Lou Zhang, Director of Data Science at MachineMetrics. Founded in 2014, MachineMetrics is manufacturing’s first Industrial IoT Platform for Machines. They transform analytics into action through universal machine connectivity, cloud data Infrastructure and communication workflows that optimize machine operation. Extensible both in the cloud and at the edge, the platform is powering vertically-focused use cases for manufacturers to digitize legacy manufacturing processes and drive more profitability with their machines.

Lou is responsible for driving data science strategy, technical leadership and revenue from predictive machining products. They develop patented and novel approaches to solving open-ended problems in manufacturing using machine learning, data mining and statistical modeling, specifically in regards to predictive technology involving embedded sensors. It is their mission to conceptualize and bring-to-market predictive machining solutions for Industry 4.0.

In the episode, Lou will tell you about:

The interesting roles he has held over the years

MachineMetrics impact in the Manufacturing sector

The benefits that their IoT Platform brings to the industry

How their Data Science team has evolved

Why we should embrace Industrial Automation

To find out more about Lou and all the great work at MachineMetrics, check out the website www.machinemetrics.com or follow them on Twitter @MachineMetrics. You can also connect with Lou on Linkedin

What did you think of Lou’s podcast? Where do you see the future of AI and Data Science in the Manufacturing sector heading in the next few years? We would love to hear your thoughts on this episode, so please leave a comment below.

If you would like to hear more from AI in Action then please subscribe and don’t forget to like and share with your friends on social media.

Subscribe to The Alldus Podcast: 

     

related podcasts

ServiceNow Series E154: Shannon Chapman, Director of IT Service Delivery at Norwegian Cruise Line Holdings Ltd.

 Welcome to episode 154 in our Digital Transformation series of the Alldus podcast, the show where we highlight the brightest talent and technical leadership within the ServiceNow ecosystem. Powered by Alldus International, our goal is to share with you the insights of leaders in the field to showcase the excellent work that is being…

Read More

AI in Action E506: Nilanjan Chakravorty, Chief Data Officer at EmpiRx Health

 Welcome to episode 506 of the AI in Action podcast, the show where we break down the hype and explore the impact that Data Science, Machine Learning and Artificial Intelligence are making on our everyday lives. Powered by Alldus International, our goal is to share with you the insights of technologists and data science…

Read More

ServiceNow Series E153: Amy Giovannucci, Platforms Capability Lead & Managing Director at Accenture Federal Services

 Welcome to episode 153 in our Digital Transformation series of the Alldus podcast, the show where we highlight the brightest talent and technical leadership within the ServiceNow ecosystem. Powered by Alldus International, our goal is to share with you the insights of leaders in the field to showcase the excellent work that is being…

Read More