The IBM Watson Tradeoff Analytics Java Sample Code by IBM aims to help users to make better decisions with data. The live example and additional resources are available at https://www.ibm.com/watson/developercloud/tradeoff-analytics.html
Salesforce has introduced new Einstein Platform Services and APIs including Einstein Sentiment, Einstein Intent, and Einstein Object Detection. Developers can use these services to build CRM apps that leverage machine learning capabilities such as image recognition and natural language processing.
The Gnip Audience API now features Twitter aggregate user age information. The Gnip Audience API includes nearly one dozen demographic models including gender, interests, TV genre, TV show, language, etc. User age is the newest addition to the set of Gnip Audience API demographic models.
Until recently, Google's ML Kit machine learning functionality has focused on video and image processing. Now, Google has introduced two APIs that expand ML Kit into the language space. The Smart Reply API suggests responses within chat apps, and Language Identification identifies text language.