ON-DEMAND WEBINAR

Vision in Action

Artificial Intelligence

AI is weaving its way into our daily lives, and learning should be no exception. Using AI-powered tools in Degreed just got better, easier, and more advanced with the introduction of Degreed Maestro. See the potential efficiencies and impact of virtual AI coaching in action during this full-length demo.
Vision in Action AI

   

   

   

About your speakers

Nagabhushan Chandrashekar

Nag Chandrashekar

Chief Product and Platform Officer at Degreed

Nag is currently the Chief Product and Platform Officer at Degreed, a leader in the Enterprise Learning Experience market. In the current role, he leads all of product, technology, DevOps and design teams in Degreed.

He is a results oriented Product leader with twenty plus years of strong product development and management experience in Enterprise and Cloud applications, with a proven ability to create and manage roadmaps designed for long term success.

Previously, Nag was Chief Product Officer at Atheer Inc, a leader in the enterprise Augmented Reality Space. Before that, Nag co-founded Flype, an innovative startup that aimed to create compelling customer experiences that was acquired by Atheer.

Before that, he led a team of product managers at Saba software focused on building world class learning, talent and collaboration management products using the Agile development framework on both web and mobile platforms. His primary focus was to provide an excellent user experience and enable learning anywhere anytime, while providing people managers and admins rich prescriptive tools and analytical capabilities required to manage enterprise compliance and learning needs.

Sha Fei

Fei Sha

VP, Data Science & Engineering at Degreed

A versatile leader in data science and AI with a Ph.D. in Econometrics, Fei currently oversees AI and platform engineering at Degreed. Her background in econometrics, which combines economics, mathematics, and statistical modeling, fuels a passion for creating accessible learning tools and platforms that empower individuals to achieve their full potential through learning. With experience developing AI strategies and data-driven products, she has successfully led the implementation of machine learning models and centralized analytics systems across sectors such as eCommerce, EdTech, HRTech, finance, and insurance. This unique blend of quantitative expertise and cross-industry experience enables her to lead AI development from concept to execution, driving growth, operational efficiency, and alignment with strategic business goals.