Platform overview and general workflow
The Peltarion Platform is a collaborative end-to-end environment for developing, managing and deploying AI models at scale. It’s got everything you need to execute an AI project from start to finish in a single software platform.
The platform workflow consists of 5 views (or screens if you prefer), each encapsulating a specific step in the model development process.
A project is where you import datasets, create models that you evaluate. Within a project you can test many models to find out which one is the best. The Projects view gives you an overview of all projects you have access to and it allows you to create a new project, select, edit or delete an existing project.
The Datasets view allows you to edit and inspect the data that your project can use. In this view, you can:
Import datasets into the platform, from your local drive or from a URL
Manage versions of your datasets
Edit a dataset to better fit your model
Manage the Data API to enable dataset uploads from your own applications
The Modeling view lets you build a deep learning model yourself or work with a colleague on the same model. There are no limits to how you can build the model - it’s as easy to make a simple one as to make a complex, multi-layered one.
In the Evaluation view you can see in real-time how the model is performing as it’s learning from the data. Not learning as well as expected? Then pause the experiment, go back to the Datasets view or Modeling view, make some tweaks and get running again, quick iteration style.
The Peltarion deployment solution provides the means to quickly test out model prototypes all the way directly in your services. It also provides the stability and scalability you need for a system that will be deployed for longer periods of time with a reliable model for server-to-server integration.