To improve operational efficiencies, enterprises are augmenting their existing processes/apps and human intelligence with Machine Learning and Artificial Intelligence. This helps to improve quality and meet compliance through improved processes and better decision making. Case workers can focus their saved time on other organizational activities.
Thousands of customers across the globe use AgilePoint NX Low-Code/BPM platform to create rich enterprise apps that powers their decision making and streamlines business processes. Machine Learning and Artificial Intelligence are starting to become pervasive even in the simplest enterprise apps. AgilePoint already provides process integration with Azure Cognitive Services, Azure Machine Learning, Salesforce Einstein and Amazon Machine Learning and we are extending these integration with each release.
One of the market leaders in AI/ML today is Google. As part of that initiative, we are releasing a set of process activities to tie back into Google’s cognitive services. In this release, we are offering the following five activities for Google AI.
- Analyze Image
- Detect Language
- Speech To Text
- Text To Speech
- Translate Text
This video covers end to end scenario for how to configure business process to perform supported Google AI operations which includes basic concepts like activity configuration, runtime execution etc.
Note: Please note that this video is recorded while this feature is in beta version. Some of the labels and icons might change by the time it goes GA but the general concept of configuring these activities would remains the same.