2025-07-17 –, South Hall 2B
Transitioning machine learning models from development to production can be challenging. This talk demystifies the deployment process, offering a comprehensive guide to getting your models into production environments securely and efficiently. We'll explore various deployment strategies, including containers, serverless architectures, and dedicated ML platforms. Learn about best practices for monitoring, scaling, and maintaining your models post-deployment. By the end of this session, you'll be equipped with actionable insights and tools to deploy your models confidently and ensure they deliver real-world value.
Intermediate
Hii, You can call her Ariane or Arya.
Ariane is a ML Engineer, Project Manager from Cameroon, with a passion for Community Building and Diversity & Inclusion in the STEM ecosystem.
She's also serves as Community Manager and ML Tutor at a non-profit organization, whose works focus on empowering underrepresented groups in AI and demystify AI for all.
Ariane is an active open source contributor, and enjoys teaching during her free time.