project management Archives

Managing Machine Learning Projects: From design to deployment by Simon Thompson.

Simon holds a Phd in Philosophy from the University of Oxford UK. His is the former Director of AI research at BT Labs. Today he serves as the Head of Data Science at GFT Technologies.

Simon is revealing that managing ML projects to production can seem like navigating uncharted waters.

By revealing the challenges of accounting for large data resources to tracking multiple models, machine learning has very different requirements when compared to building traditional software applications. Simon does acknowledge this challenge and asks readers to execute this on a more even scale.

Managing Machine Learning Projects is an end-to-end guide for delivering ML applications on time and under budget. Simon is revealing the tools, approaches, and processes designed to handle the challenges of machine learning project management. To help readers Simon is deploying a full case study.

HBR’s 10 Must Reads on Managing Projects and Initiatives by Harvard Business Review.

This book is a valuable read since all of us will be leading projects or initiatives sooner than we realize. So, why not learn how to manage them more effectively. This book is a collection of articles on project management and positioned a a resource for anyone working in project based work roles or even project leadership.

I found this to be a valuable read for my own projects. Yet I also realize “Keep Your AI Projects on Track” by Iavor Bojinov as a most interesting chapter since the number of AI Project Management services must be already on the horizon. Managing projects and initiatives often involve multiple stakeholders, competing internal priorities, and resources.

The book reveals key topics to understanding to ensure successful project execution. They include: Navigating Complexity, Managing Change, Resource Allocation, Maintaining Alignment, Measuring Success, Dealing with Uncertainty, and Fostering Collaboration. All truly key elements to understand and perhaps master along your project lifecycles.