Developing Machine Learning for Impact

Explore the challenges and best practices of implementing machine learning for real-world impact in this conference talk from GOTO Amsterdam 2023. Delve into key topics such as using ML as a tool rather than a solution, the importance of data quality, managing uncertainty in ML projects, and the value of multidisciplinary teams. Learn from success stories and practical insights shared by Anna Via, a Machine Learning Product Manager at Adevinta Spain, as she discusses her experiences in developing ML initiatives for job boards and online recruitment platforms. Gain valuable knowledge on balancing complexity with effectiveness, measuring success, and creating ML solutions that drive tangible results in the competitive world of digital marketplaces.

Intro
Why this talk?
ML as a tool, not a solution
Less is often more
Without data quality, there is no ML
Surviving the ML uncertainty
The importance of multidisciplinary teams
What is not measured can't be improved
Success stories
Outro