The world is changing around us. Shifting patterns and behaviors on such a massive scale, can cause deployed Artificial Intelligence & Machine Learning models to make predictions based on previously unseen conditions. Data Scientists and tech leaders across industries are wondering how they should adapt during these uncertain times.
Experts from Google, Twitter and Vertica share their insights for evolving your processes and navigating some of the unprecedented challenges of COVID-19.
Elijah Young is a highly engaging communicator, culture catalyst, and growth executive, who helps organizations navigate the complexities of innovation from deployable strategy to project development and organizational impact. With 18 years of B2B experience in sales, marketing and training, Elijah serves as a liaison between tech teams and the business to help catalyze outcomes which move client efforts from cool science projects to scalable ROI.
Dr. Elizabeth Owen is a Data Science Consultant at Google, and Founder / Chief Data Scientist of Learning Data Discovery, LLC. Her work focuses on optimizing data-driven design of immersive learning systems through integrated machine learning. Most recently, she headed the analytics platform for adaptive, game-based learning systems as Director of Learning Data Science at Age of Learning.
Alexis Roos is the Senior Manager of Data Science at Twitter where he is managing a team of Data Scientists and Engineers working on information integrity. He has been innovating in software for over twenty years building systems ranging from smart email, chatbot, customer services and more. For the last seven years, he has been focusing on AI using data science, graph, machine learning and deep learning.
