ME1674:  Extracting Intelligence from IoT Data using Deep Neural Networks
Day 04/26/17
Time 14:05-14:30
Company Pluto AI
Abstract With the evolution of technologies centered on IoT and connected sensors, Artificial Intelligence now has the power to reach every corner of the world. Most of the data generated in the IoT ecosystem is sequential in nature, so we need to use a learning model that can specifically take advantage of its characteristics. Sequence Learning is a paradigm within Artificial Intelligence that deals with extracting meaningful insights from sequences. It enables computers to think and learn on their own based on sequential measurements obtained from sensors. In order to achieve this, we use deep neural networks to extract wisdom from IoT data. It can be used to solve some of the most challenging problems like water leakage or energy wastage that's impacting billions of people around the world.



Prateek Joshi
Founder, Pluto AI

Prateek Joshi is an Artificial Intelligence researcher, a published author of 6 books, and a TEDx speaker. He is the founder of Pluto AI, a venture-funded Silicon Valley startup building an analytics platform for smart water management powered by Deep Learning. He has been an invited speaker at technology and entrepreneurship conferences including TEDx, AT&T Foundry, Silicon Valley Deep Learning, and Open Silicon Valley. His tech blog ( has received 1.2M+ page views from 200+ countries and has 6,600+ followers. He is an avid coder and has won many hackathon prizes, including at Facebook. He graduated from USC with a Masters degree in Artificial Intelligence. He was previously at Nvidia and Microsoft Research. You can learn more about him at