Enterprises are generating vast amounts of information, but can they unlock the value of this data if most of it remains hidden? 

Traditional databases only capture a fraction of corporate knowledge. In the AI era, unstructured “dark data” such as audio files, video recordings, meeting notes, and PDFs make up at least 100x the volume of structured data. 

Managing large amounts of unstructured data with fragmented tools creates an overwhelmed “data kitchen” where teams struggle just to keep operations running. This friction makes it difficult to build effective AI solutions.

In this video, Ethan Yu, co-founder and CEO of Singdata, explains how an AI-native data platform serves as “step zero” to help organizations transition from disjointed pipelines to a single source of truth. 

Discover how Singdata’s unified engine and intelligent data agents enable business users to query complex datasets using natural language. By automating data integration and analytics, Singdata not only generates highly accurate “super insights” but also empowers human teams to increase their productivity and focus on creative work.

Singdata is part of the IMDA Accreditation program, which was launched in 2014 to accelerate the growth of promising Singapore-based enterprise tech firms. The program also aims to help such companies establish their credentials, build business traction, compete in the global market, and gain more opportunities to showcase their solutions to spur adoption.

To learn how an AI-native data platform can modernize enterprise data infrastructure, visit Singdata’s website.

This content was produced by Tech in Asia Studios, which connects brands with Asia’s tech community. Learn more about partnering with Tech in Asia Studios.