Instacart is an online delivery service for groceries under one hour. Customers order the items on the website or using the mobile app, and a group of Instacart’s shoppers go to local stores, purchase the items and deliver them to the customer. InfoQ interviewed Mathieu Ripert, data scientist at Instacart, to find out how machine learning is leveraged to guarantee a better customer experience.
Amazon’s Alexa Voice Service API, the NLP (natural language processing) API that powers Amazon Echo, has a new update that allows for developers to use Alexa to turn any device into a “smart” device through the use of the API’s voice recognition features.
Ocado Technology uses TensorFlow to categorize customer emails for automated support queue categorization and prioritization for the goals of quick response time and avoiding impersonal support bots often used with large customer volumes and finite support resources.
DeepMind's WaveNet synthesizes speech and musical audio using parametric text-to-speech (TTS). DeepMind claims to have outperformed some of the leading TTS systems when rated subjectively by a group of test participants in a blind study.
Google released their beta Cloud Natural Language API on July 20, joining the movement to make advances in natural language processing (NLP) from the small world of cutting-edge research and to the hands of everyday data scientists and software engineers. Google’s NLP API lets users take advantage of three core NLP features:
Corporations are increasingly using social media to learn more about what their customers are saying about their products. This presents unique challenges as unstructured content needs analytic techniques to interpret the sentiment embodied in the blog posts. InfoQ caught up with Subramanian Kartik to learn more about the blog sentiment analysis project his team worked on.