Tracking Business Value with Data Science Portfolio Management
Data Science Leaders | 37:32 | October 13, 2021
You may not have a formal “portfolio management” function within your data science team, but in all likelihood, you’re executing some of its key components already.
But being more intentional around portfolio management can pay big dividends. Without it, you could be missing out on a powerful and holistic way of demonstrating the value your team provides to the business.
In this episode, Katya Hall, Director of Enterprise Analytics at McKesson, explains how the portfolio management process sets the groundwork for defining KPIs that track the actual value derived from predictive models and insights. Plus, she shares her thoughts on a process for validating model accuracy and managing risk.
- Tips for working with business counterparts
- Data science portfolio management
- Model risk management
- Supply chain analytics
Global Chief Data Officer at Legal & General Investment Management (LGIM)
EPISODE 60November 23, 2023
CDOs: Changing the Operating Model for Data & AI TransformationListen Now | 38:56
President of Active Learning Sciences and Founder and Chief Academic Officer of Foundry College
EPISODE 59November 09, 2023
Transforming Education with Generative AI and Active LearningListen Now | 41:26
SVP of Product at Domino Data Lab
EPISODE 58October 26, 2023