MongoDB has released a new artificial intelligence-powered feature that transforms natural language queries into data visualisations, developed by its Sydney-based engineering team.
Called Natural Language Mode for MongoDB Atlas Charts, the feature allows users to create visualisations by simply typing requests like "use a line chart to display trends in quarterly sales data".
It aims to streamline the data visualisation process for developers and analysts.
The NLM for Atlas Charts announcement came during the MongoDB.local Sydney conference, which brought together hundreds of developers for educational sessions and customer presentations.
Simon Eid, the Asia-Pacific senior vice president of MongoDB, expressed pride in the Australian engineering team's achievements.
"They continue to deliver innovative, AI-powered solutions within MongoDB Atlas that are focused on helping developers take control of their data and to transform their organisations," Eid said.
The Sydney-based engineering team at MongoDB has been instrumental in developing key components of the company's developer data platform for over a decade.
Their work includes the core storage engine, server, Charts visualisation tool, and Relational Migrator.
The Natural Language Mode for MongoDB Charts is now available to all customers.
The conference also showcased how organisations leverage the MongoDB Atlas multi-cloud database plafform to drive innovation.
Andrew Cresp, chief information officer at Bendigo and Adelaide Bank, said that generative AI helped reduce development time for migrating a core banking application to MongoDB Atlas by up to 90 per cent.
Pathfinder Labs, a company using AI to combat crime, demonstrated how their product Paradigm utilises MongoDB Vector Search and AI to manage information overload in complex global criminal investigations.
Tourism company thi Digital presented their successful migration from a separate search engine to an integrated data platform using MongoDB and Atlas Search.
The move simplified thi Digital's codebase and reduced costs for the company.
-1.jpg&w=100&c=1&s=0)
.png&w=100&c=1&s=0)
