Overall cloud-related revenue was up 47 percent year over year, a metric that is very important to the long-term health of the company.
Data is a new form of capital. Ultimately, information about people, places and things will truly differentiate enterprises.
With many veterans suffering from posttraumatic stress disorder (PTSD), the U.S. Department of Veterans Affairs is looking to IBM's Watson for help.
Streams of data are added up and analyzed to offer indications as to whether a potential customer really intends to buy the product that's for sale.
The Apache Software Foundation graduated its MetaModel and Drill projects from the organization's incubator to become Top-Level Projects.
MicroStrategy ships a biometrically secured analytics solution to the market with support for Apple Touch ID.
Enterprises of all types and sizes are realizing that data sets being stored or archived in silos or in clouds—information they might have had considered too old or irrelevant, or only for regulation purposes—may have great potential value. It's all about looking at a business' history, making cogent queries, discovering insights and projecting what is likely to happen in the future, in order to become more customer-centric and inventory-effective. These companies are going into the internal business of analyzing data. As a result, organizations are in search of the necessary tools and information to take full advantage of the potential this movement offers. However, big data brings big hype, and big hype only brings big confusion of what's what in the data market. In this slide show, eWEEK and Gary Nakamura, CEO of data application infrastructure provider Concurrent, discuss—and dismiss—the biggest myths that are disrupting the big data industry. Some of what turns out to be a myth may surprise you.
After an early beta of IBM's Watson Analytics pulled in 22,000 early testers, Big Blue is now opening the service to everybody.
Continuing to round out its roadmap, TIBCO Software launched Jaspersoft 6 to enable developers to embed dashboards for analytics.
Nearly nine years ago, Apache Hadoop made its debut as the future of big data. With cheaper data storage and faster processing, the industry envisioned a more efficient enterprise. Although Hadoop is used sparingly in enterprises today, the promise of the technology is still true. Recently, Allied Market Research forecast that the global Hadoop market value will reach $50.2 billion by 2020. In the next five years, more enterprises will adopt a data-driven business and will look to Hadoop to support their growth. Hadoop will allow for leaner, faster and more efficient enterprises. The focus on Hadoop will also create opportunities for new entrants in the market, to rise to and solve its challenges. This eWEEK slide show, created with input from Talend, a big data integration software specialist, presents 10 predictions on how, by 2020, Hadoop will be used by world-class enterprises, as well as businesses of all sizes for managing, processing and leveraging data to better serve their customers.
The expanded partnership integrates the companies' technologies, aligns their product roadmaps, and will result in a unified set of products and services.
It might not quite measure up to a thousand words, but Microsoft researchers are making progress on software that helps machines make better sense out of photos.
IBM's i2 COPLINK Everywhere brings analytics to the hands of law enforcement officers in the field.
Splice Machine takes its Hadoop relational database management system (RDBMS) to general availability.
IT and legal departments don't always see eye-to-eye, especially when it comes to data management. They often disagree on what to retain, when to back up data, who does what and more. When litigation occurs, the two teams must work together seamlessly to identify relevant documents for e-discovery, the electronic exchange of documents during litigation or investigations. With the prevalence of big data, some e-discovery cases have grown to nearly 200 million documents (imagine processing and reviewing 5,200 employees' emails from an entire year, about 38,325 per person)—an avalanche of data for legal teams to sift through, meaning high costs for companies. If the two departments are unable to bridge the gap, they risk running over on budgets and dealing with costly sanctions if relevant data isn't identified or is inadvertently destroyed. But if IT and legal can learn to play nice, the benefits will unfold quickly. Legal teams can have better insight to potential litigation; IT teams will be spared the headache before and during litigation, and overall, the process will run more smoothly. In this eWEEK slide show, e-discovery software provider kCura offers eight tips for how the two departments can work together more effectively for a better litigation outcome.