What is data centric AI and why is it important for industrial AI?
In the main part Peter and Stefan Suwelack discusses the data centric AI approach which is also often featured by Andrew Ng. Stefan explains us, why this approach helps industrial companies and describes some use cases.
We thank our new partner [Siemens ](https://new.siemens.com/global/en/products/automation/topic-areas/artificial-intelligence-in-industry.html)
Amazon Dataset [more](https://www.amazon.science/blog/amazon-releases-largest-dataset-for-training-pick-and-place-robots)
LeCun and Andrew Ng [more](https://www.youtube.com/watch?v=BY9KV8uCtj4)
Geoffrey Hinton interview [more](https://www.youtube.com/watch?v=qpoRO378qRY)
The Risk Classification Database [more ](https://appliedaiinitiative.notion.site/Risk-Classification-Database-2b58830bb7f54c9d8c869d37bdb27709)
Our guest: [Dr. Stefan Suwelack ](https://www.linkedin.com/in/stefansuwelack/)
Om Podcasten
The Industrial AI Podcast reports weekly on the latest developments in AI and machine learning for the engineering, robotics, automotive, process and automation industries. The podcast features industrial users, scientists, vendors and startups in the field of Industrial AI and machine learning. The podcast is hosted by Peter Seeberg, Industrial AI consultant and Robert Weber, tech journalist.Their mission: Demystify Industrial AI and machine learning, inspire industrial users.
The hosts:
Peter Seeberg is an Industrial AI and machine learning expert for the manufacturing industry. He worked over 25 years in IT (Intel) and 10 years in Automation. He co-initiated the Industrial Data Intelligence Startup (Softing) where he was responsible for managing machine learning projects in industrial environments. Today he advises companies when it comes to Industrial AI and machine learning. Together with Robert Weber, journalist for industrial topics, he discusses AI and ML applications, standards, and education topics, make or buy decisions as well as regulation for AI in manufacturing.