Your Guide to Quality Data Science Products

Have you considered adding AI/ML to your organization's operations? AI models can significantly reduce costs when they are implemented properly, but can end up in "purgatory" with the wrong approach. Here's how to properly implement AI models.

We'll show you how to import the proper libraries, set up a dashboard, add UI components, and more!

Appsilon engineers Paweł and Pedro share their perspective on rstudio::conf 2020, especially news and updates about R packages...

RStudio::conf 2020 is a wrap!

We recently took part in Hakuna-ma Data, a competition organised by DrivenData in partnership with Microsoft’s AI for Earth, which asked participants to build an algorithm for wildlife detection that would generalise well across time and locations...

rstudio::conf 2020 is here! Appsilon Data Science is proud to be a co-sponsor of the conference. Here is some information about the presentations we are doing and others that we hope to attend.

"So we sat down with the project manager on the client side, re-ordered the priorities, estimated additional work and were able to start coding on the very same day."

Appsilon is an RStudio Certified Partner offering R Shiny dashboards, Managed Services, and RStudio product implementations.

Many AI projects languish in pilot purgatory. Filip Stachura points out known risks in deploying and maintaining AI models. The question becomes, do you have the right people in place to respond to potential and likely issues?

Why stick to Excel and risk poorly maintained data or serious miscalculations? Discover efficiency gains brought by R Shiny and Python Dash

Building Deep Learning vision models satellite imagery to assist in identifying and labeling property damage from natural disasters.

Learn to create R apps with this R Shiny Dashboard Tutorial! We'll go from simple R Shiny to Bootstrap, Semantic UI, and then cover the custom version.