Data is the fuel that makes artificial intelligence run.
Training machine learning and AI systems requires data. And the quality of datasets has a big impact on the systems’ results.
But compiling quality real-world data for AI and ML can be difficult and expensive.
That’s where synthetic data comes in.
The guest for this week’s AI Podcast episode, Nathan Kundtz, is founder and CEO of Rendered.ai, a platform as a service for creating synthetic data to train AI models. The company is also a member of NVIDIA Inception, a free, global program that nurtures cutting-edge startups.
Kundtz is a physicist by training, holds a Ph.D. from Duke University and previously founded Cometa, a hybrid satellite cellular network company.
Our host, Noah Kravitz, spoke to Kundtz about how AI can be used to generate the data needed to create better AI.
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