Timezone: »

Deploying Machine Learning Models in a Developing Country
Ernest Mwebaze

Fri Jul 17 05:10 AM -- 05:55 AM (PDT) @

Successful deployment of ML models tends to result from a good fit of the technology and the context. In this talk I will focus on the African context which is synonymous with developing context but I want to argue there is a difference. I will expound on the opportunities and challenges that this unique context provides and the assumptions made in deploying in such a context and how well they fit. Another angle of the talk will be on deployment with a view to influence societal good which may be different from deployment in a production system. I will also draw insights from some projects I have been engaged in towards this end.

Live presentation

Author Information

Ernest Mwebaze (Google AI)

More from the Same Authors

  • 2020 Workshop: Machine Learning for Global Health »
    Danielle Belgrave · Danielle Belgrave · Stephanie Hyland · Charles Onu · Nicholas Furnham · Ernest Mwebaze · Neil Lawrence
  • 2020 : Panel discussion »
    Neil Lawrence · Mohammad Ghavamzadeh · Leilani Gilpin · Huyen Nguyen · Ernest Mwebaze · Nevena Lalic