June 9, 2014
Context computing is a problem the human brain has evolved to tackle. Computer programs—well that is more challenging! IBM brings context computing to the forefront and is investing in sense making technologies.
June 6, 2014
A delicate balance of appropriate uses, relevant policies and consumer awareness is needed to achieve an effective privacy strategy for use by the big data and analytics community.
June 5, 2014
A data scientist uses machine learning (ML) to find heretofore unknown correlations and other patterns in fresh data. ML is adept at finding both the "known unknowns" and the "unknown unknowns" through the power of supervised learning and unsupervised learning methodologies, respectively.
June 4, 2014
The goal of moving beyond basic TV ratings and simple consumer demographics to establishing a secure analytics environment to integrate subscriber, set-top-box and third-party, enriched data in near real time is something leading media and entertainment organizations continue to embrace. After all, they need to deeply understand and predict consumer behavior to effectively drive growth and retention strategies. These strategies include the ability to better, more accurately reach consumers across viewing platforms and enable dynamic, personalized content delivery.
June 3, 2014
Chief Analytics Officer at Constant Contact and this week’s Big Data and Analytics Hero believes that with big data “a complete analysis of customers’ interactions with your company will no longer be a privilege only afforded to the big and powerful.”
June 2, 2014
With data breaches increasing in frequency, organizations need to secure and protect their sensitive data. Research shows that having a strong security posture reduces the risk and also the cost of data breaches; organizations should take a cue from this and act now.
June 2, 2014
developerWorks Editor Barb Wetmore brings you a summary of the latest how-to technical content for developers. This month includes an announcement of a new big data and analytics zone on developerWorks, integration of DB2 for z/OS with InfoSphere BigInsights, creation of a date time dimension with IBM Cognos software and real-time analytics using IBM Predictive Maintenance and Quality.
May 30, 2014
With IBM’s latest release of cloud capabilities, we’ve once again taken our analytics offering to another level positively impacting all areas of the organization including the front-office, back-office, business units and executive suite. This cloud-based solution stack provides users ready access to the information they need whether they’re in or out of the office. In addition, we’ve added new user-friendly analytic discovery and visualization tools and cross-platform social capabilities while enabling users to customize their dashboards and reports to see their analytics the way they want to see them with simple drag-and-drop actions. This is a must-see moment in the evolution of cloud capabilities.
May 30, 2014
To remain agile in the big data world and support faster decision making, enterprises need to capture information at low latency and analyze massive amounts of data in motion. Data replication plays a key role in supporting this big data requirement. Data replication’s real-time operational and analytical data synchronization enriches big data projects with up-to-the-second information and supports business continuity.