Speaker "Prateek Joshi" Details Back



Deep Learning for IoT


When people talk about Artificial Intelligence, they usually tend to think about self driving cars, robots, and drones. There has been a lot of debate on how we are building super-intelligent machines that will take over the world soon. Basically, the discussion has been limited to first world problems! Deep Learning is a paradigm within Artificial Intelligence that deals with extracting wisdom from data using neural networks. Given the recent advances in computing, Deep Learning now has a chance to play an extremely important role in solving some of the most pressing problems faced by our society today. With the evolution of technologies centered on Internet of Things and connected sensors, we have the power to reach every corner of the world. Within Deep Learning, we will be focusing on Sequence Learning that enables computers to think and learn on their own based on sequential measurements obtained from internet-connected sensors. It can be used to solve some of the most challenging problems like water wastage, energy consumption, or infrastructure breakdown that's impacting billions of people around the world.


Prateek Joshi is an Artificial Intelligence researcher, a published author of 5 books, and a TEDx speaker. He is the founder of Pluto AI, a venture-funded Silicon Valley startup building an analytics platform for water resource management powered by Deep Learning. His work in this field has led to patents, tech demos, and research papers at major IEEE conferences. He has been an invited speaker at technology and entrepreneurship conferences including TEDx, AT&T Foundry, Silicon Valley Deep Learning, and Open Silicon Valley. He has also been featured as a guest author in prominent tech magazines. His tech blog ( has received more than 1.2M+ page views from 200+ countries and has 6,600+ followers. He frequently writes on topics such as Artificial Intelligence, Python programming, and abstract mathematics. He is an avid coder and has won many hackathons utilizing a wide variety of technologies. He graduated from University of Southern California with a Masters degree specializing in Artificial Intelligence. He has worked at companies such as Nvidia and Microsoft Research. You can learn more about him on his personal website at