Supply chain optimization with analytics and low-code: a use case
Applying artificial intelligence to optimize your supply chain comes with many time-consuming challenges such as model development, model deployment, a user-friendly interface for business users and required organizational change. This article explains how analytics is applied and developed for a client in minimal time. Situation The case concerns a customer in the logistics industry with […]
Aiden and UbiOps bring AI and low-code together
Many low-code applications exist that could significantly benefit from machine learning. However, only a fraction of those cases currently have ML models running in the background. Therefore they’re missing out on the advantages of using data analytics and machine learning to gain a competitive edge over their competitors. One of the reasons AI and Machine […]
Set up a connection between a low-code app and your Python or R model.
Set up a connection between a low-code app and your Python or R model #4 Integrate UbiOps with Betty Blocks. It can be hard and complicated to turn a Python or R model into an end-to-end application. You need to develop a front-end and a connection between the front-end and the model before the application […]
Powering your low-code app with AI. Integrate UbiOps with Appian
Powering your low-code app with AI #3 Integrate UbiOps with Appian. If you know Python or R and wish to make an AI powered app, or simply apply more advanced analytics to existing BI apps, this is the guide for you. In this case we explain how to integrate UbiOps with an Appian app specifically. […]