To improve operational efficiencies, enterprises augment their existing processes/apps and human intelligence with Machine Learning and Artificial Intelligence. It helps to improve quality and meet compliance through improved processes and better decision-making. Caseworkers 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 power their decision-making and streamline business processes. Machine Learning and Artificial Intelligence are becoming 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 integrations 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.

1. Analyze Image
2. Detect Language
3. Speech To Text
4. Text To Speech
5. Translate Text

This video covers end-to-end scenarios for configuring the business process to perform supported Google AI operations, including basic concepts like activity configuration, runtime execution, etc.

Note: The video was recorded while this feature was in the beta version. Some labels and icons might change by the time it goes GA, but the general concept of configuring these activities would remain the same.