Open Data Access Consortium for AI Applications

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Open Data Access Consortium for AI Applications

Inspired by a conversation on:

The Information's TITV

The Information's TITV

EA’s $55B Buyout, Snowflake’s AI Data Strategy, Humanoid Robots Learning Dexterity | Sep 29, 2025

Host: Akash Paswitcha

Timestamp: 00:09:25 - 00:12:18

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Direct Quote

"This consortium, the way I understand it, is Snowflake and this group of companies' way of saying, hey, you know, open access, there are no walls here."

Market Gap

AI applications struggle with data access due to proprietary barriers.

AI applications often fail to deliver desired results because they are restricted by data access limitations. Many software companies, like Salesforce, have implemented walls that prevent AI tools from accessing necessary data. This lack of open data access hinders the development and effectiveness of AI applications, resulting in a high failure rate for AI projects. For instance, a recent MIT report highlighted that 95% of AI projects fail, often due to insufficient or inaccessible data. This presents a significant challenge for companies looking to leverage AI, as they require comprehensive datasets to train their models effectively.

Summary

The idea is to create an open data access consortium, similar to the initiative mentioned by Snowflake, which would allow AI applications to freely access data across multiple platforms without proprietary barriers. This consortium would involve collaboration among major data platform providers to establish common standards for data access and usage, enabling AI applications to utilize diverse datasets seamlessly. By facilitating this open access, companies can develop more robust AI solutions that leverage comprehensive data inputs, ultimately increasing the success rate of AI projects. The target audience for this initiative would include AI developers, data scientists, and companies looking to integrate AI into their operations.

Categorization

Business Model
Platform
Target Founder
Technical
Difficulty
High
Time to Revenue
> 1 year
Initial Investment
> $10,000

Potential MRR (18-24 months)

Conservative
$5,000 - $10,000 MRR
Moderate (Most Likely)
$15,000 - $30,000 MRR
Optimistic
$50,000 - $100,000 MRR

* Estimates assume solo founder/bootstrap scenario with competent execution

Scores

Clarity
8/10
Novelty
7/10
Feasibility
6/10
Market Potential
9/10
Evidence
8/10
Overall
7.6/10
Found on September 30, 2025 • Analyzed on September 30, 2025 12:08 AM

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