Accern helps customers make better financial decisions with no-code AI

On average, the development of an AI model takes an IT team 12 to 18 months, meaning 80% of a data scientist’s time is spent finding, cleaning, and reorganizing the data. Accern’s no-code AI allows users to easily deploy and customize pre-trained financial services models that help extract insights from a vast amount of unstructured data (e.g. news articles or financial filings) more accurately and efficiently than before.

However, in their quest to empower customers with data, Accern found themselves limited in the customization they could offer customers. They did not have self-service access to data visualizations and were limited to the single dashboard provided to them.

Accern

Accern is a no-code AI platform that enables data teams at financial organizations to easily build AI models and uncover insights from unstructured data.

Accern empowers domain experts and business analysts to extract the most accurate insights from massive streams of unstructured data–including news, social media, industry reports, and internal documents—with the Accern NoCodeNLP Platform™, within minutes.

Accern was in need of an analytics solution that would allow their customers to get accurate, personalized, and granular insights, on newly structured sentiment data inclusive of categories such as ESG and Crypto. They chose ThoughtSpot Everywhere as the best solution for a seamless implementation with their existing data and technology stack, and for the growing adoption of analytics within their product.

The team began the deployment by building a new data model in Snowflake that would be optimized for scalable and repeatable growth for their customers. ThoughtSpot Everywhere’s developer-friendly platform helped Accern’s team embed in hours what would normally take other solutions several days. ThoughtSpot Modeling Language (TML) allowed for scriptable deployments and the re-use of Liveboard worksheets, giving Accern the ability to deliver personalized customer experiences at scale