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.
NEWS ANALYSIS: Aurora may become a formidable competitor for comparable database engines by MySQL, SAP, Oracle, Teradata and EMC.
More than 26 percent of applications are being used by various business functions without the IT department’s approval or knowledge.
IBM and Repsol have joined forces to help with oil and gas exploration by delivering new cognitive computing applications.
IBM's new cloud-based data services include IBM DataWorks and IBM dashDB, among others, to help provide a fluid cloud data layer for enterprises.
IBM and Twitter announced a major deal that enables IBM to tap into Twitter's data feed to make that data available to businesses to use to make better decisions.
IBM announced the availability of a cognitive-infused Watson Explorer, a combination of data exploration and content analytics capabilities.
IBM announced new cloud-based services to help businesses and developers handle big data challenges.
Cognitive Scale, a new company founded by former members of the IBM Watson team, delivers a cognitive computing platform in the cloud for enterprises.
Halloween is right around the corner, and as we gear up for the festivities, it's natural to expect a fright or two in your future. Zombies and goblins are fun in a haunted house, but that's where they should stay—the last place you want a spooky surprise lurking is in your data or analytics reporting. Data is the lifeblood of organizations, but poorly handled data management can produce a number of issues that would give any executive a scare. Findings based on inaccurate data are more than "not useful." They can actively hurt a business by failing to reflect key industry trends and leading executives down the wrong path. It's easy to get tricked by rogue or inaccurate data, but when managed properly, data can actually be a treat for the organization, revealing key insights that influence business decisions, progress, revenues and ultimately success. This eWEEK slide show, based on insights from business intelligence (BI) and analytics provider Information Builders, highlights a few data monsters that could produce a scary BI and analytics haunted house this Halloween.
The WTA Tour will provide tennis players with in-match stats during coaching matches, based on SAP analytics platform.