Blog

Numbers Station x dbt: built for analysts, on the tools engineers love

Available now, the Numbers Station Data Transformation Assistant democratizes the data transformation process to all skill levels with foundation model powered technology. This blog explains why we decided to invest in dbt, and how Numbers Station enables data analysts to create efficient and accurate analytics pipelines.

Ask Me Anything: A simple strategy for prompting foundation models

Foundation models, due to their size, can be prohibitively expensive to deploy and difficult to adapt to enterprise data tasks. This blog describes our recent research work, in collaboration with the Stanford AI lab, to deploy cost-effective, smaller foundation models that match or exceed the performance of 30x larger foundation models.

Can foundation models wrangle your data?

‍State-of-the-art data wrangling is not self-service, leading organizations to use legacy, slow-moving technology. Using cutting-edge foundation models, Numbers Station lowers the barrier to state-of-the-art data wrangling, accelerating existing wrangling processes and enabling data analysts to derive new insights from their toughest data.

Numbers Station: Automating the data-driven enterprise

Numbers Station is building Foundation Model-powered technology to bring automation in data-intensive enterprise workflows, automating tasks so data workers spend less time on mundane data tasks, and more time on the work that matters.