Building software fast without sacrificing quality is difficult. Organizations that wish to develop and adapt technology face the “iron triangle” of balancing the trade-offs between building something good, fast, or inexpensive. As consultants, we turn to Retool for our clients because of its powerful combination of speed and flexibility. We
We’ve done multiple projects to automatically pull structured data from text, including: * Automatically parsing emails * Scanning research articles * Processing customer feedback reports This is called natural language processing, where we use computers to process information contained in unstructured text. This is increasingly done with large language models (LLMs) because
A disclaimer, this post is not about best practices or even prescribing a solution. This article will outline a unique challenge and the approach we took to get past the hurdle. So let's talk about what we faced! Over the last 3 years, we helped a client transition
Generative AI is touted as a tool for increasing revenue and reducing expenses. It is easy to get lost in the hype about the future and miss the amazing operational workflows that can be improved today. For over a year and a half with one of our clients we’ve
Listen, just taste the food before ordering $120,000 of it, okay?
🟧 🟥 🟧 Garbage In, Garbage Out You know the saying. When you use data in your organization—for anything from reporting, analytics, automation, etc.—you run the risk of building a giant trash pile. This isn’t your fault. Sometimes it just happens as the sources of data grow and as the