AI
The emergence of the web data infrastructure layer for AI
As enterprises seek to capitalize on AI, they face a critical bottleneck: traditional model training relies on static snapshots of information, whereas modern
Key takeaways
- 60% of AI projects not supported by AI-ready data will be abandoned by the end of the year.
- 97% of AI organizations depend on real-time web data infrastructure, but 90% feel boxed in by restrictions.
- A powerful intelligence layer sitting on top of a hollow knowledge layer is like a genius who knows nothing.
- 56% of AI practitioners believe businesses need access to real-time web data to improve trust in AI outputs.
As enterprises seek to capitalize on AI, they face a critical bottleneck: traditional model training relies on static snapshots of information, whereas modern applications require fresh, real-time web data to prevent hallucinations and maintain context. According to Gartner, 60% of AI projects lacking structured, AI-ready data will be abandoned by the end of the year. To address this, organizations are turning to specialized web data infrastructure layers, like those from Bright Data, which mimic human browsing behavior at scale to bypass technical blocks and deliver structured, compliant data feeds.
In their words
“Think of the trained model as intelligence and relevant data as knowledge. A powerful intelligence layer sitting on top of a hollow knowledge layer is like a genius who knows nothing - useless in practice.”
“You need to retrieve data at scale, but also in real time. Latency becomes an issue because of the end user who is waiting for the output.”
By the numbers
- 56%
- AI practitioners saying businesses need real-time web data to improve trust
- 60%
- AI projects not supported by AI-ready data that will be abandoned
- 97%
- AI organizations depending on real-time web data infrastructure
- 90%
- AI organizations feeling boxed in by restrictions
- 80B
- Daily simulated web user interactions needed at scale
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Common questions
- What happened with Bright Data?
- 60% of AI projects not supported by AI-ready data will be abandoned by the end of the year.
- Where can I read the original report?
- Read the full report at mit_tech_review.
