Why Businesses Shouldn’t Treat LLMs as Databases

Microsoft chief Satya Nadella recently said that traditional SaaS companies will collapse in the AI agent era. 
Image by Nalini Nirad
Despite the rise of AI, SaaS companies continue to play a crucial role, as large language models (LLMs) cannot function as databases. Sridhar Vembu, founder of Indian SaaS company Zoho, recently explained that neural networks “absorb” data in a way that makes it impossible to update, delete, or retrieve specific information accurately. According to Vembu, this is not just a technological challenge but a fundamental mathematical and scientific limitation of the current AI approach. He explained that if a business trains an LLM using its customer data, the model cannot update itself when a customer modifies or deletes their data. This is because there is no clear mapping between the original data and the trained parameters. Even if the model is dedicated to a single customer, there
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Siddharth Jindal
Siddharth is a media graduate who loves to explore tech through journalism and putting forward ideas worth pondering about in the era of artificial intelligence.
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