In this crossover episode, we flashback to some of our favorite moments from Alter Everything and Data Science Mixer.

As one of the first data scientists at Peloton, Ibby Syed has a passion for enabling others to access powerful data science tools and techniques in order to drive insights and learning.

Do children interacting with AI-enabled systems need special protections? Steven Vosloo, policy specialist in digital connectivity at UNICEF, shares what data scientists should keep in mind to ensure the rights of children in digital spaces.

Ria Cheruvu, AI Ethics Lead Architect for Intel’s Internet of Things engineering group, is passionate about making sure IoT and AI systems are created ethically and used fairly. She shares her tips for how to stay in touch with trends in this space, and how data scientists can research and engage with groundbreaking technologies and techniques.

What’s next for AutoML systems? We’re joined by Kalyan Veeramachaneni, who is a principal research scientist and faculty member in computer science at MIT, as well as an Alteryx fellow working with the Innovation Labs team. Kalyan shares exciting possibilities for AutoML systems, and explains that the future for these systems is right around the corner.

Australia's Nikita Atkins joins us to share how GHD uses Alteryx Intelligence Suite and Machine Learning to find creative solutions and efficiencies in supply chain and infrastructure investment.

Join us behind the scenes of the trucking industry to learn how data science keeps the supply chain moving.

Specializing in the scientific study of frightening leisure activities, Mathias Clasen, director of the Recreational Fear Lab at Aarhus University, dials in from Denmark to share how fear can be quantified and data used creatively to understand our ability to adapt to real-world danger.

Data science, satellite imagery, and ... penguins? Dr. Heather Lynch, professor at Stony Brook University, joins us to share how she uses data science to study penguins and other species in Antarctica, with surprising connections to business and other fields.

Samsung’s Charity Wilson joins us to share how her early aptitude for statistics has led her to a rewarding career in HR analytics, and how causal inference strategies fuel her work.