Connect your firm stack to Digits—New partnerships with: Ignition, Karbon, Reach Reporting.
When everyone can build with AI, the bottleneck shifts. Here's how Digits built the infrastructure that turned ideas into trusted internal software.
AI-enabled, AI-native, and agentic accounting software aren’t the same—understanding the difference determines whether software reduces work or just reshuffles it.
In the world of machine learning, the allure often lies in the dazzling advancements: the latest models, cutting-edge techniques, and breakthrough success stories. It's comparable to admiring the tip of an iceberg without recognizing the substantial structure beneath the surface that keeps it afloat.
Using a machine learning model to classify an object (be it text, image, tabular data) with a label that the model has never seen before, Zero-Shot Classification, seems like an impossible task.
In our previous blog post, we introduced how we use similarity-based machine learning for accounting use cases. In this blog post, we will focus on how we use generative machine learning at Digits.
