Host Andrew Friedrich and guests Richard Stiennon and Michael Martin discuss how public sector organizations can defend themselves against ongoing cybersecurity threats, and emphasize the importance of analytics in preventing online attacks.
Benny Cohen, founder and president of Knowledge Providers, Inc., has spent the last 35 years implementing business solutions for small and large organizations across North America. He spent some time with us to talk about “self-service BI” for decentralizing the consumption of data and described
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
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
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
Cloud computing is gaining momentum, and for good reason. Some people consider it for overall IT cost savings, others are drawn to the promise of reduced capital expense and other people are looking to solve pressing IT issues. Kimberly Madia, product marketing manager for IBM big data, joined us
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
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.
What is the "connected car"? How will we, as everyday drivers, benefit from it? How are trucking companies, fleet managers and insurance companies using the data from connected cars to save money and improve efficiency? Kimberly Madia, product marketing manager for IBM big data, explains all of
Hadoop for the Enterprise: Quick. Easy. Free. Get your hands on IBM’s enterprise-grade features to start experimenting with Hadoop today. InfoSphere BigInsights combines the power of Hadoop with enterprise-grade features including visualization & exploration, advanced analytics, and security
Technology vendors often tout their "real-time" products - but what does "real time" really mean? And is it what you need? Tom Deutsch compares real time to "customer time," which he says is the more meaningful measure: delivering the performance in the amount of time that it's needed and can be
What is “event processing”? What are the similarities and differences between complex event processing and stream computing? Why would you want to use these techniques? Roger Rea, IBM InfoSphere Streams product manager, answers these questions and others.