Navigating the MLOps Journey: Key Considerations for Successful Implementations - Akanksha Malik

This talk was recorded at NDC Sydney in Sydney, Australia. #ndcsydney #ndcconferences #developer #softwaredeveloper Attend the next NDC conference near you: https://ndcconferences.com https://ndcsydney.com/ Subscribe to our YouTube channel and learn every day: / @N̈̇̃@NDC Follow our Social Media! https://www.facebook.com/ndcconferences https://twitter.com/NDC_Conferences https://www.instagram.com/ndc_conferences/ #machinelearning Embarking on the MLOps journey can be a game-changer for those seeking to unlock the full potential of their machine learning teams and solutions. As teams mature in the data and AI space, putting their solutions into production is the next big step. Explore the critical considerations required with an end to end overview of an MLOps implementation. In this session, we will delve into the essential components of MLOps and how it streamline the development, deployment, and maintenance of machine learning models. We will discuss key considerations such as infrastructure requirements, data management and model versioning as well as team roles and responsibilities that work best. Whether you're just starting your MLOps journey or looking to optimise your existing processes, see how MLOps can enhance model performance, improve productivity, ensure regulatory compliance, and foster a culture of collaboration and innovation within your team.