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I spoke with Abhijit Bose, Head of Enterprise Machine Learning and AI Engineering at Capital One, about how to optimize a machine learning deployment, from handling typical challenges to preparing for the future of MLOps.
Among the topics we covered:
- First let’s briefly define MLOps, machine learning to enhance operations. What’s your nutshell definition?
- As you survey the business market, how would you describe the current MLOps adoption? In its infancy? Moving toward mainstream?
- What are the most typical challenges that company face as they deploy MLOps?
- A few best practices for MLOps?
- The future of MLOps? What are some key milestones we can expect in the years ahead?
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