Corporate America's new data gold rush for AI training
The next breakthrough in artificial intelligence will not come from scraping the open web. Instead, companies across corporate America are racing to unlock new sources of training data, including personal data, drone footage, and proprietary corporate archives. This shift marks a significant change in how AI models are developed, moving away from publicly available internet data toward privately held, often sensitive datasets. The race to acquire unique data is intensifying as the limitations of web-scraped data become apparent, with concerns about quality, bias, and legal restrictions. Companies are now exploring partnerships and acquisitions to gain access to valuable data troves that can give them a competitive edge in AI development.
Key facts
- AI's next breakthrough won't come from scraping the web.
- Companies are racing to unlock new training data.
- New data sources include personal data, drones, and corporate archives.
- The shift moves away from publicly available internet data.
- Privately held and sensitive datasets are now targeted.
- Limitations of web-scraped data include quality, bias, and legal issues.
- Partnerships and acquisitions are being explored for data access.
- Unique data provides a competitive edge in AI development.
Entities
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Sources
- Quartz —