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Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.
Abstract
Hosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.
This week on Making Data Simple, we have Dr. Kayla Lee Growth Product Manager, Community Partnerships at IBM Quantum & Qiskit. Dr. Kayla Lee works with innovation teams across industries to understand how they can using new and emerging technologies to solve their business challenges. In her role, she serves as a bridge between business and science to help drive value for enterprise clients. Her primary focus is the new model of computation, quantum computing, working with clients to understand potential applications, prioritize use cases, and build a business strategy to prepare for the future of computing.
Al and Dr. Lee try and help us understand Quantum Computing as a new technology.
Show Notes
3:03 - Dr. Lee talks about her day to day job
4:40 – The challenge
6:12 - Dr. Lee describes quantum
8:03 – What is quantum computing going to do for us that we can’t do today?
9:30 – How does this work?
17:50 – What kind of problem is quantum computing suited to answer?
19:40 – Will quantum computing replace traditional computing?
23:36 – Who can use quantum computing?
32:30 – Security and quantum
33:50 – Dr. Lee’s team
Dr. Kayla Lee - LinkedIn
IBM Quantum Computing
Qiskit
HBCU Center Driving Diversity and Inclusion in Quantum Computing
IBM’s Roadmap For Scaling Quantum Technology
Connect with the Team
Producer Kate Brown - LinkedIn.
Producer Steve Templeton - LinkedIn.
Host Al Martin - LinkedIn and Twitter.
Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
4.9
88 ratings
Send us a text
Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.
Abstract
Hosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.
This week on Making Data Simple, we have Dr. Kayla Lee Growth Product Manager, Community Partnerships at IBM Quantum & Qiskit. Dr. Kayla Lee works with innovation teams across industries to understand how they can using new and emerging technologies to solve their business challenges. In her role, she serves as a bridge between business and science to help drive value for enterprise clients. Her primary focus is the new model of computation, quantum computing, working with clients to understand potential applications, prioritize use cases, and build a business strategy to prepare for the future of computing.
Al and Dr. Lee try and help us understand Quantum Computing as a new technology.
Show Notes
3:03 - Dr. Lee talks about her day to day job
4:40 – The challenge
6:12 - Dr. Lee describes quantum
8:03 – What is quantum computing going to do for us that we can’t do today?
9:30 – How does this work?
17:50 – What kind of problem is quantum computing suited to answer?
19:40 – Will quantum computing replace traditional computing?
23:36 – Who can use quantum computing?
32:30 – Security and quantum
33:50 – Dr. Lee’s team
Dr. Kayla Lee - LinkedIn
IBM Quantum Computing
Qiskit
HBCU Center Driving Diversity and Inclusion in Quantum Computing
IBM’s Roadmap For Scaling Quantum Technology
Connect with the Team
Producer Kate Brown - LinkedIn.
Producer Steve Templeton - LinkedIn.
Host Al Martin - LinkedIn and Twitter.
Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
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