Machine Learning, an established field for many years, has witnessed significant investments from organisations. Many of these companies embarked on building machine learning solutions with the belief that artificial intelligence would solve all their problems. However, a lack of understanding regarding the lifecycle of a data science project was evident, even among those proficient in software development.

In this captivating presentation, we will delve into the realm of MLOps.
We will explore a range of popular solutions available on AWS that can enhance and streamline your ML workflows, helping you navigate the decision-making process effectively.

Furthermore, you will have the valuable opportunity to witness a live demonstration showcasing the seamless implementation of a collaborative MLOps solution. By leveraging the power of AWS Step Functions, this solution will unite your Data Science and DevOps teams, allowing for efficient collaboration and enhanced productivity.

By the end of this presentation, you will gain valuable insights and practical knowledge to navigate the MLOps landscape, avoiding common pitfalls and maximising the potential of your machine learning initiatives.