Top 10 Manufacturing AI Talks at NVIDIA GTC Conference 2021

This year, NVIDIA has made GTC free. If you’ve never visited the GTC Conference before — you should know that this is one of the biggest AI events, if not the biggest one.

This spring, they will have hundreds of online sessions, so it may be really difficult to find the most interesting one.

So, I did my own research on applying AI to manufacturing and prepared my top list that I would highly recommend you to watch. I hope this will save you some time.

I have added links so you can easily jump to a page with a description. Keep in mind that you will need to register to look through it.

German Suvorov from Data Monsters will share the secret sauce of implementing edge AI in a real manufacturing environment when the internet bandwidth is low, products are constantly changing, and there are no people to label data and train models (04/15/21, 9 am to 9:40 am PT). https://bit.ly/2SySjpq

Ameya Bhosle from Quantiphi will talk about using Computer Vision and Convolutional Neural Networks for defect detection. https://bit.ly/3eDwxcK

Konstantin Kiselev, CEO of Conundrum, is going to discuss Multidimensional Industrial Defect Inspection Challenges with Edge Computing. Conundrum is one of the pioneering start-ups in this field and is definitely worth a listen. https://bit.ly/3bkTuQ1

The session with Daniel Salz and Mehdi Maasoumy from c3.ai may be very interesting for data scientists, as this team is going to present you a novel transformer-based model for PDM and a comparison with VAE (04/13/21, 12:00 pm to 12:40 pm PT). https://bit.ly/3o67nqg

Bharath Bhushan Kowshik and Ritesh Jain from Drishti Technologies are going to present you with a solution on how to detect human actions on a manufacturing floor and get some valuable insights out of it. https://bit.ly/33Fnh1j

Mohammed Khan, CEO of Dezzex, is going to show you a vehicle inspection solution that can be used across multiple industries — insurance, car rentals, used cars, manufacturers, and salvages. https://bit.ly/3fdhbdU

Jean-Marc Alkazzi, Research Engineer within BMW Group has a very interesting topic on the intersection of robotics and computer vision. Learn how to use cameras with robotics arms and turn captured images into AI models (04/13/21, 12:00 pm to 12:20 pm PT). https://bit.ly/3tDhzYr

Fabian Bormann, AI Engineer in Volkswagen is going to share ideas on how NVIDIA Triton can be used to turn a slew of different ML systems into a scalable ecosystem (04/14/21, 5:00 am to 5:40 am PT). https://bit.ly/3y5dobc

Lisa Myers from NVIDIA will tell you how to organize data processing — from capturing raw signals to extracting insights from data. https://bit.ly/3o4RZKZ

Regarding myself, I will also do a couple of talks.

One of them will be “Getting started with AI in Manufacturing”, where I am going to talk about the basics of AI, cover multiple manufacturing use-cases, and give you a practical canvas to analyze your AI ideas and prioritize them in a clear pipeline. https://bit.ly/3fdvDTt

The second one is “AI for Product Managers”. This is a detailed deep dive into AI Product / Project Management, describing all phases of the AI solution development, all the way from spotting a good idea, on through to exploration to implementation and testing. https://bit.ly/3bjMvqj

Finally, my third talk is “AI for Innovation Directors”, and it explains how large companies may organize and improve their search for AI innovations. I share my experience on how to find internal business clients, how to evaluate external teams and vendors, how to assess ideas, and how to increase the pilot success rate. https://bit.ly/3ez227I

Don’t forget to get registered and book some time in your calendar.

All the best!

Artemy Malkov, PhD