The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Live from TWIMLcon! You're not Facebook. Architecting MLOps for B2B Use Cases with Jacopo Tagliabue - #596
Oct 24, 2022
Jacopo Tagliabue, a former AI director at Coveo and member of South Park Commons, brings a fresh perspective on MLOps tailored for B2B companies. He discusses the practical challenges these smaller firms face compared to larger tech giants, emphasizing data quality, automation, and resource allocation. Jacopo also explores the balance between custom and off-the-shelf ML tools, the importance of end-to-end ML professionals, and how community engagement can enhance hiring. His insights make machine learning operations more accessible for diverse practitioners.
AI Snips
Chapters
Transcript
Episode notes
MLOps Evolution
- The MLOps landscape has evolved beyond the practices of large consumer internet companies.
- Smaller B2B companies now have more opportunities and diverse approaches to learn from.
B2B vs. B2C
- B2B companies face different data, modeling, and tooling challenges than B2C companies.
- They often serve narrower audiences and require specialized approaches to MLOps.
B2B Value Proposition
- Understand the different value propositions and ROI considerations in B2B.
- Measure success with proxies like robustness and maintenance efforts, not just direct revenue impact.