Data Dialogues: Mastering Data Science Leadership in the AI Era
Topics
Managing rapid change in data science and AI technologies
Adapting data science teams and processes to AI advancements
Strategies for effective decision-making in an AI-driven landscape
Ethical considerations and responsible AI leadership
Who Should Attend
Data Science Directors | Principal Data Scientists | ML Engineering Leaders | AI Strategy Decision Makers | Tech Executives
What to Expect
Curated discussion on pressing challenges in data science leadership
Insights from industry-leading guest speakers on navigating the AI era
Peer-to-peer knowledge sharing on adapting to rapid technological changes
Actionable strategies for leading data science teams in an AI-driven world
Attendance is by application only. To maintain an environment of open exchange, we are operating under Chatham House Rules and recording is not permitted. Approved participants will receive a confirmation email with event details and access information.
Featured Speaker
We are excited to welcome Lilei Xu, a distinguished leader in data science with extensive experience navigating the evolving AI landscape. Lilei's career exemplifies the journey of adapting leadership styles to meet the challenges of the AI era.
As a former Director of Data Science at Faire, Lilei led cutting-edge initiatives in applying AI to brand acquisition and lifecycle management. Her tenure at Airbnb saw her successfully guide data science teams through rapid technological changes, particularly in search and marketing optimization.
Currently, Lilei has transitioned into a role as a career and life coach, specializing in helping data science leaders adapt to the AI era. Her unique perspective combines deep technical knowledge with insights into the personal and organizational challenges of leading in a rapidly evolving field.
Lilei's expertise includes:
Strategies for data science leadership in AI-driven environments
Adapting organizational structures to leverage AI advancements
Balancing innovation with ethical considerations in AI development
Your Hosts
Duncan Gilchrist
Duncan is an entrepreneur and data scientist passionate about making data and AI work for businesses and for the world. He was previously Director of Data Science for Uber Eats Marketplace and VP Data Science and Engineering at Gopuff.
Hugo Bowne-Anderson
Hugo is a data science and AI consultant who loves community building. He led Developer Relations at Outerbounds and Coiled, hosts the industry podcast Vanishing Gradients, and developed over 30 courses on the DataCamp platform that have reached more than 3 million learners worldwide.