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- MLOps Live
- Publisher |
- neptune.ai
- Media Type |
- audio
- Categories Via RSS |
- Technology
- Publication Date |
- Mar 29, 2023
- Episode Duration |
- 00:49:48
In this episode of MLOps Live, Stephen and Sabine speak with Andreas Malekos, Head of Artificial Intelligence at Continuum Industries, and Ivan Chon-Hon Chan, AI Engineer at the same company. This week’s episode is centered around leveraging MLOps technologies and principles at non-ML companies. They delve into the chasm between their research science and engineering teams and how they solve it, the process of choosing the right MLOps tools, and how MLOps has significantly changed the structure of their teams.
In this episode of MLOps Live, Stephen and Sabine speak with Andreas Malekos, Head of Artificial Intelligence at Continuum Industries, and Ivan Chon-Hon Chan, AI Engineer at the same company. This week’s episode is centered around leveraging MLOps technologies and principles at non-ML companies. They delve into the chasm between their research science and engineering teams and how they solve it, the process of choosing the right MLOps tools, and how MLOps has significantly changed the structure of their teams.
Subscribe to our YouTube channel to watch this episode!Learn more about Andreas and Ivan:
Episode Resources:
- Continuum Industries
- Hyp-ED
- Study of physical properties and microstructure of aerogel-cement mortars for improving the fire safety of high-performance concrete linings in tunnels
- Using COMSOL® for the Development of the UK’s Second Hyperloop Prototype
- Quantum Computing Project
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Previous guests include: Andy McMahon of NatWest Group, Jacopo Tagliabue of Coveo, Adam Sroka of Origami, Amber Roberts of Arize AI, Michal Tadeusiak of deepsense.ai, Danny Leybzon of WhyLabs, Kyle Morris of Banana ML, Federico Bianchi of Università Bocconi, Mateusz Opala of Brainly, Kuba Cieslik of tuul.ai, Adam Becker of Telepath.io and Fernando Rejon & Jakub Zavrel of Zeta Alpha Vector. Check out our three most downloaded episodes:
- Your First MLOps System: What Does Good Look Like? with Andy McMahon
- MLOps at a Reasonable Scale: Approaches & Challenges with Jacopo Tagliabue
- Solving the Model Serving Component of the MLOps Stack with Chaoyu Yang
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