Data Dialogs
A forum for data science leaders shaping the future of data science, ML, and AI
Biweekly Thursdays at 4:00 PM PT
What to Expect
- Curated discussion on pressing data science challenges
- Insights from industry-leading guest speakers
- Peer-to-peer knowledge sharing and problem solving
- Actionable strategies to implement in your initiatives
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.
Upcoming session: Navigating the AI revolution... where's the data science?
Thursday, August 22, 2023, 4:00 PM - 5:00 PM Pacific Time
Featured Speaker
We are excited to welcome Brad Klingenberg, a distinguished leader in data science and machine learning. Brad’s impressive career includes serving as the former Chief Algorithms Officer at Stitch Fix, where he led a team of over 150 data scientists and engineers. His leadership at Stitch Fix was instrumental in advancing the company’s core capabilities in recommendations and personalization, measurement and experimentation, human-in-the-loop machine learning, and merchandising algorithms for inventory management, operations, and marketing.
In addition to his role at Stitch Fix, Brad is an active start-up advisor, currently working with companies like CloudTrucks, Flagship RTL, Literati, and Trendsi. His previous advisory and consulting roles include impactful contributions to Candidate Labs, Opendoor, Netflix, and Daily Harvest.
Topics
- What's happened to traditional ML in the age of GenAI?
- Exploring GenAI applications for time series analysis
- Leveraging GenAI for in-context learning
- Debating the 95% rule: Are XGBoost and scikit-learn still driving most of the value?
- Practical tips for implementing and optimizing GenAI in your organization
- What's happened to traditional ML in the age of GenAI?
- Exploring GenAI applications for time series analysis
- Leveraging GenAI for in-context learning
- Debating the 95% rule: Are XGBoost and scikit-learn still driving most of the value?
- Practical tips for implementing and optimizing GenAI in your organization
Who Should Attend
Data Science Directors | Principal Data Scientists | ML Engineering Leaders | AI Strategy Decision Makers
Data Science Directors | Principal Data Scientists | ML Engineering Leaders | AI Strategy Decision Makers
Your Hosts
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.
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.
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 at Uber.
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 at Uber.