Think Research designed a collaborative healthcare network for sharing and managing clinical content on IBM Cloud.
IBM Cloud Solution Tutorials give you step-by-step instructions to create applications running on virtual servers, Kubernetes, Cloud Foundry, and serverless architectures. The tutorials also cover topics ranging from web and mobile applications, chatbots, IoT, and machine learning and analytics.
Many government agencies and public administrations offer access to data, contributing to open data. Using IBM Watson Studio with Jupyter Notebooks and Apache Spark it is simple to retrieve, combine and analyze data from different sources. The result can be easily visualized. Learn what it takes with this IBM Cloud solution tutorial.
Today’s generation of cognitive and analytical solutions pack a powerful punch, thanks to their ability to deliver insights as they are requested by decision makers or systems. Many of today’s game-changing solutions provide in-depth insights – ranging from understanding customer intentions, to healthcare measures, to systems performance – at the moment they are needed, which is often in real time. Cognitive and analytics systems can dive deep to draw and deliver inferences on behaviors and patterns.
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 How soon will your insights be outdated? How can you cost-effectively store the data you’re analyzing?
The Streaming Analytics service in the IBM Cloud is an advanced analytic platform allowing user-developed applications to quickly ingest, analyze, and correlate information as it arrives from a wide variety of real-time data sources. Today, a new version of the service is generally available, providing a set of exciting new features and new set of price plans.
(Ed.–Josep Sampé–Universitat Rovira i Virgili–co-authored this post.) Let’s say you write a function in Python to process and analyze some data. You successfully test the function using a small amount of data and now you want to run the function as a serverless action at massive scale, with parallelism, against terabytes of data. What options do you have? Obviously, […]
The IBM Analytics Engine team is excited to announce the General Availability (GA) of IBM Analytics Engine, the next generation of IBM’s Apache Spark and Apache Hadoop cloud service in the London DC.