The cognitive, enterprise grade cloud platform isn't just for enterprises. Startups are growing at an unprecedented rate and these same startups consume like the enterprise, build like the enterprise, and become the enterprise. Today, Gliding Eagle's global trade application runs on IBM Bluemix Virtual Servers. This allows them to reach clients across the world with global availability.
Learn how the Bluemix Garage Method helped Charity Navigator wade through its search challenges so site visitors could maximize donations to worthy causes.
Sentry is a demonstration web app hosted on Bluemix and built to help elementary through high school teachers better understand how their students feel. Sentry does this by using Watson to identify a learner’s overall emotions and attitude, based on the individual’s written compositions. By analyzing a student’s journal entries or essays, Sentry can alert educators as to whether a student appears to be exhibiting negative, dangerous, or abnormal characteristics.
The Social Sentiment Application was continuously available throughout the Australian Open 2016 with impressive results. The IBM hybrid cloud architecture leveraged the strengths of Bluemix, SoftLayer and IBM's Private Cloud. Docker containers enabled rapid and reusable functions throughout the application. The Software Defined Environment on IBM's Private Cloud leveraged the principles of agile and idempotency. The Bluemix Streaming Analytics microservice enabled realtime processing of hundreds of thousands of tweets. Flexible networking within Bluemix connected multiple clouds together within a secure environment. The Social Sentiment Application just worked!
In the Rod Laver Arena at the Australian Open, the chair umpire announces the conclusion of an exhilarating tennis competition. Millions of tennis fans from around the world erupt through social media with a concise message that asserts individual opinions and sentiment. On a hybrid cloud within IBM’s Continuous Availability Services, Natural Language Technologies are applied to streams of tweets to understand the opinions of the Australian Open fan base. The resulting social sentiment analysis within IBM's SlamTracker application is updated. In this opening post of a multi-part series, I explain the technology mix behind the event's social sentiment application.