AI in Action E74: Mark O’Neill, CTO at KeyMe
AI in Action, Podcast | March 3 2020 | JP Valentine
Welcome to episode 74 of AI in Action, the podcast that breaks down the hype and explores 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 Mark O’Neill, Chief Technology Officer at KeyMe. Founded in New York in 2012, KeyMe is North America’s most trusted full-service locksmith with guaranteed service quality. Their network of self-service kiosks are located thousands of retail locations across the country which supports the duplication of home, office and vehicle keys.
KeyMe’s kiosks are complemented by the KeyMe locksmiths who provide unrivalled service quality for emergency lockouts and other skilled access and home services. As KeyMe’s CTO, Mark brings two decades of experience in growing and leading multiple teams, as well as architecting and building systems to meet evolving eCommerce and media industry objectives.
In the show, Mark will discuss:
The services KeyMe offers to customers
Challenges they are solving using Machine Learning
Interesting Engineering and Data Analytics projects they are working on
Plans for further growth
Key traits they look for in the hiring process
Why he loves his role at KeyMe
Advice to academics on following your passion.
To find out more about Mark and the work at KeyMe, check out the website www.key.me. You can also follow them on Twitter @KeyMe or connect with Mark on Linkedin.
What did you make of Mark’s podcast? Where do you see the future of Artificial Intelligence and Robotics 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 74 of AI in Action, the podcast that breaks down the hype and explores 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 Mark O’Neill, Chief Technology Officer at KeyMe. Founded in New York in 2012, KeyMe is North America’s most trusted full-service locksmith with guaranteed service quality. Their network of self-service kiosks are located thousands of retail locations across the country which supports the duplication of home, office and vehicle keys.
KeyMe’s kiosks are complemented by the KeyMe locksmiths who provide unrivalled service quality for emergency lockouts and other skilled access and home services. As KeyMe’s CTO, Mark brings two decades of experience in growing and leading multiple teams, as well as architecting and building systems to meet evolving eCommerce and media industry objectives.
In the show, Mark will discuss:
The services KeyMe offers to customers
Challenges they are solving using Machine Learning
Interesting Engineering and Data Analytics projects they are working on
Plans for further growth
Key traits they look for in the hiring process
Why he loves his role at KeyMe
Advice to academics on following your passion.
To find out more about Mark and the work at KeyMe, check out the website www.key.me. You can also follow them on Twitter @KeyMe or connect with Mark on Linkedin.
What did you make of Mark’s podcast? Where do you see the future of Artificial Intelligence and Robotics 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:
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