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Dharmesh Shah: Internal company data access is crucial for AI development

Dharmesh Shah: Internal company data access is crucial for AI development
Dharmesh Shah urges better data access

Dharmesh Shah, sharing views aligned with his colleague Brian, emphasized the importance of making internal company data more accessible and organized. According to Shah, clear and structured internal data is not only foundational for successful artificial intelligence initiatives but also improves overall business efficiency. He encouraged companies to adopt better data practices beyond just AI applications, suggesting a broader impact on organizational effectiveness.

Shah has previously pointed to the value of rapid prototyping and early user feedback in product development cycles, noting that building the wrong product can reveal what users actually need (details). He has also said that AI agents should operate within existing enterprise platforms rather than developing independent systems (more here). The comments build on Shah’s ongoing focus on optimizing internal tools and workflows.

This material may contain third-party opinions, none of the data and information on this webpage constitutes investment advice according to our Disclaimer. While we adhere to strict Editorial Integrity, this post may contain references to products from our partners.

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