Скачать или смотреть DataEngBytes 2023 - SYD-T2-03 - Akanksha Malik

NAVIGATING THE MLOps JOURNEY: KEY CONSIDERATIONS FOR SUCCESSFUL IMPLEMENTATIONS

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. 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 they streamline the development, deployment, and maintenance of machine learning models. We will discuss key considerations such as infrastructure requirements, data management and model versioning and 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.

Akanksha Malik
Data Consultant and Microsoft AI MVP

Akanksha is a Data Consultant, a Microsoft AI MVP and an international speaker. After studying Financial Maths and Actuarial Science at UCC, Ireland, she realised she wanted to work with people as well as numbers. As a consultant, she works with clients to help them solve problems by making more informed decisions with data.

She is a firm believer of diversity and inclusivity. She loves machine learning, and that it is becoming more accessible to everyone. She is an avid advocate for women in STEM and is currently the network director of Women Who Code Melbourne and advisory board member for Tech Diversity Lab.