When Fei-Fei Li built ImageNet with limited resources, she catalyzed an entire AI revolution. High quality data was necessary to start the innovation process, and she put in the effort.

In a horse-drawn carriage you have time to correct course. But in a rocket you need millisecond-precise data. That's the AI landscape where our rate of acceleration itself is increasing. I call this the Paradigm of Jolting Technologies, and is the reason why high quality data is crucial today.

As autonomous systems multiply beyond the limit of merely 8 billion humans, we'll see an explosion of new data sources. This is going to provide an open-ended, positive-sum economic opportunity for unbounded innovation.

Watch the video of the supercut of my remarks at the 9th Quality Conference in Riyadh

When Fei-Fei Li built ImageNet with limited resources, she catalyzed an entire AI revolution. High quality data was necessary to start the innovation process, and she put in the effort.

In a horse-drawn carriage you have time to correct course. But in a rocket you need millisecond-precise data. That's the AI landscape where our rate of acceleration itself is increasing. I call this the Paradigm of Jolting Technologies, and is the reason why high quality data is crucial today.

As autonomous systems multiply beyond the limit of merely 8 billion humans, we'll see an explosion of new data sources. This is going to provide an open-ended, positive-sum economic opportunity for unbounded innovation.

Watch the video of the supercut of my remarks at the 9th Quality Conference in Riyadh https://www.youtube.com/watch?v=RZx5DWTC2P8