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Opendatasoft Launches AI-Powered Semantic Search Engine

Improves data portal user experience and accelerates data discovery.

Note: TDWI's editors carefully choose vendor-issued press releases about new or upgraded products and services. We have edited and/or condensed this release to highlight key features but make no claims as to the accuracy of the vendor's statements.

Opendatasoft has launched its advanced AI-powered semantic search engine. Based on a vector model, this new search engine makes it easier and faster for data portal users to find relevant data assets, increasing usage and driving greater data democratization.

Organizations today understand the importance of data to their success. However, given the enormous variety and volume of data they generate and collect, it can be difficult for users to find relevant data assets, even when they are centralized in a data portal. Traditional keyword-based search engines make discovering the right data asset difficult, often returning irrelevant or excessive results. This limits the use of data -- particularly by non-specialists -- which prevents the industrialization of data sharing and holds back value creation.

Opendatasoft’s focus is on delivering a data portal user experience that makes sharing, finding, and reusing data simple and seamless for all. Its new AI-powered search engine therefore goes beyond literal keyword search matches, providing results based on a deep understanding of the intent and contextual meaning of search terms. For example, a query on the word “gasoline” may return results with terms such as “fuel.”

The search engine also analyzes terms present in metadata, increasing the possibility of finding relevant results for each query. It further accelerates discovery by suggesting results in real time as users type, just as on consumer e-commerce websites. All of this delivers faster, more accurate results to users, increasing confidence that data assets are relevant and meet their needs.

Users benefit in multiple ways:

  • Increased productivity thanks to faster and more efficient searches that deliver more relevant results, reducing the number of queries required
  • Simplified content discovery, regardless of the volume of data available on the portal or any technical terms used to describe it

Data portal administrators also benefit with:

  • Increased use of data portals thanks to better data discoverability and a more intuitive user experience
  • Easier, faster data management because data producers can describe data sets naturally within metadata rather than spending time adding multiple synonym keywords -- a time-consuming and potentially overwhelming-to-users process -- to improve data set visibility

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