Going, going...gone! That phrase has been used by auctioneers to indicate the final bid opportunity for a hot auction item. Now “going, going, gone” is being used in the world of big data. Why? Organizations realize that they need to act faster by analyzing streaming data and taking action in the
Watson Foundations, an IBM Big Data & Analytics Platform, presents Optimizing Operations; Countering Fraud & Threats with Vestas, the world's largest wind energy company. Vestas uses stream computing to know exactly where to place their wind turbines for more precise ROI forecasting and
IBM has a long and successful history with open source, from running Linux on IBM PCs to contributing initial codebase for Eclipse. We believe a mix of open source and closed source is the best way to drive adoption in the marketplace. Having the full support of a vendor like IBM can lower risk
Developer resources for InfoSphere Streams are abundant. Review the top five resources to get started and join a thriving and growing community of InfoSphere Streams users across healthcare, energy and utilities, telecommunications and more.
Video content analytics tools are humanity's unblinking eyes, capable of continuously filtering the world's media streams at scale. Video content analytics algorithms can parse the fine details within and between successive frames of specific streams, supporting pattern recognition, gesture
If you take a quick glance at any technology publication (and many business publications as well) you will likely see some reference to real-time. There’s real-time customer service, real-time marketing, real-time analytics and the list goes on. But what does real time mean? Is there a standard
Building a tool is as much an art as it is science. Even if you are building a toothbrush, you would painstakingly arbitrate the symbiosis between the length, width, angles and elasticity of the brush to the age, gender, habits and moods of the intended users. How about building a real-time big
DeveloperWorks big data and analytics editor, Barb Wetmore, brings you a summary of the latest how-to technical content for developers. This month includes enabling Watson to use sensor data, using the BLU Acceleration service in the Codename: BlueMix cloud platform, detecting and tracking the
Across cultures, since the beginning of time, humans have given great importance to naming of offspring. Children are named for ancestors, significant events or natural wonders. Names give meaning to people, places and objects.
Today, corporations compete for naming rights of public buildings and
Industry analysts project that 30% of companies will “monetize their data” by 2016. But what does this mean? Many organizations are trying to figure out how to turn their data into a gold mine. The reality is each business is unique and data monetization projects should be customized to focus on a
Until recently, the growth of complex event processing (CEP) outside of the financial industry was relatively moderate, with strong activity coming from the airlines for applications such as baggage handling. However, times are changing; business models are radically shifting and the volume,
Roger Rea, product manager of InfoSphere Streams, explains what stream computing is, how it differs from event processing and CEP and gives examples of how companies are employing stream computing for real-time analyses and applications.
Infographic: Healthcare is challenged by large amounts of data in motion that is diverse, unstructured and growing exponentially. Data constantly streams in through interconnected sensors, monitors and instruments in real-time faster than a physician or nurse can keep up.