Instantly scale AI and machine learning workloads on GPU on-demand
Blog Functionality Technology
February 11, 2022 / January 5, 2024 by [email protected]
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 […]
Read more »
Tagged
February 7, 2022 / July 26, 2023 by [email protected]
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. […]
Blog Functionality Usage
January 12, 2022 / January 5, 2024 by [email protected]
Powering your low-code app with AI By hosting a Python script and integrating it via a simple API endpoint. 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 […]
Blog Collaborations
June 7, 2021 / January 5, 2024 by [email protected]
UbiOps and Arize UbiOps is the easy-to-use serving and hosting layer for data science code. UbiOps stands out for its ease of use, freedom to write any code you want while eliminating the need for in-depth IT knowledge. It is a serving, hosting and management layer on top of your preferred infrastructure. Accessible via the […]
May 25, 2021 / January 5, 2024 by [email protected]
Making ML Ops observable and explainable: serving, hosting and monitoring combined. Maximizing performance and minimizing risk are at the heart of model monitoring. In mission-critical AI models, real-time visibility is crucial. Respond quickly by retraining your model, replacing the current version or tweaking the pipelines. Additionally, setting up your serving and hosting infrastructure in a […]
