Change doesn’t stop, so neither should your analytics. You could capture the most crucial, valuable insight of all—but if you don’t identify and act on it while it’s still valid, or before your competitors do, it’s worth nothing. Imagine you’re an electronics company that has sunk thousands of hours and millions of dollars into building a profile of the perfect customer for a new product release. Before you can claw back your investment with a wildly successful launch, a rival comes along and disrupts the entire industry with an innovative device like no one has ever seen before. All that effort and resources expended… all for nothing.
The world doesn’t stop, which also means that data never stops pouring in. If you’re in the analytics game, then basing your efforts on a snapshot of historical data always involves a degree of compromise. Did you choose the right data set; one that is an accurate representation of ongoing operations so that it doesn’t skew your analysis? How soon will your insights be out of date? How can you store the data that you’re analyzing cost-effectively?
Data Science Experience will be available as part of the Bluemix Catalog or through your Bluemix Subscription plan as of May 31, 2017.
The Streaming Analytics service on Bluemix has been upgraded to make it easier to develop Streams apps in Python, and to enable access to the service from noteoboks in the Data Science Experience (DSx).
Have you ever wished that the Geospatial Analytics service provided a GUI allowing you to graphically define geofencing regions and control the service? Well now you can easily build your own GUI using an easy to follow Watson IoT recipe
A new version of the Streaming Analytics service in IBM Bluemix has been released, upgrading the to the IBM Streams product version 4.2 as its basis. This version includes a number of exciting new features and enhancements that can increase the power, performance and simplicity of your real-time analytic applications.
Integrate Streaming Analytics, Message Hub, and Message Connect Bluemix services to ingest data from Twitter, Cloudant, MQ Light, and Force.com.
There’s a lot more to IoT than just turning on the lights in your house when you’re out. Find out how a group of us at IBM combined Apache Quarks, Streaming Analytics, the Watson IoT Platform, and other Bluemix services to develop a water conservation solution. Our prototype of a smarter connected sprinkler system enables more efficient water irrigation based on information retrieved about current soil conditions.