**Session Abstract: ** Join Jason Mayes, Senior Developer Relations Engineer for TensorFlow.js (an open-source machine learning library written in JavaScript), at Google who will cover the state of Machine Learning in JavaScript, in 2021. Inspired by real-world business applications, in use today, Jason will share the APIs and libraries that practitioners can use to start building advanced web applications. This talk is ideal for those practitioners who wish to bring their next startup idea to life, or for those looking to use AI to create a competitive differentiator.

With the growing popularity of TensorFlow.js, which has seen 6x growth in developer usage since 2020, now is the time to take your first steps. This is also the time for key decision-makers to understand what is possible in JavaScript - it may surprise you! Did you know Node.js can run up to 2x faster than Python for end-to-end ML inference tasks? This demonstration-packed talk aims to educate, inspire, and enable you to rapidly prototype your next idea faster than ever. This talk is intended to be suitable for everyone, no matter what your background in AI or Web Technologies. Everybody is welcome!

** Speaker Bio: **Jason Mayes is the public face of TensorFlow.js, helping web engineers globally take their first steps with machine learning in JavaScript. He also combines his knowledge of the technical and creative worlds to develop innovative prototypes for Google's largest customers and internal teams with over 15 years of experience working within web engineering and investigating emerging technologies.

He holds an MEng in Computer Science, is a member of the British Computing Society, and is a certified information privacy technologist. Jason loves sharing knowledge online which has attracted a global following.