Lessons Learnt from building ML Products for enterprise SaaS:
Having spent the last 4+ years productizing ML powered enterprise products, we have learnt a lot! Join us to hear the stories of our stumbles (ahem learnings) in applying machine learning to solve business problems for Fortune 500 companies. Our hands-on experience has shaped our product strategy, ML platform design and organization’s operational principles. And the investments we made based on our learnings have helped us drastically improve our time to market for ML products. Come on by to hear the technical and organizational challenges (and some solutions) in building ML products for enterprise SaaS. Hopefully our learnings will be useful in your journey.
Session Summary
Lessons Learnt from building ML Products for enterprise SaaS
MLconf 2017 San Francisco
LN Renganarayana
Workday
Architect, ML Platform and Services
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Madhura Dudhgaonkar
Workday
Head of Engineering, Search, Data Science and Machine Learning
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