IBM is delivering new software that allows organizations to gain better visibility and take a more proactive, holistic approach to countering fraud. This includes the ability to aggregate Big Data across a variety of internal and external sources – including mobile, social and online – and apply sophisticated analytics that continuously monitor for fraudulent indicators.
If you haven’t started on a comprehensive data security and privacy strategy, then you are vulnerable to data breaches.
This infographic touches on five critical steps that will help customers streamline their application infrastructure, reduce infrastructure costs and transform enterprise data into a trusted, high-value resource by successfully consolidating and retiring their applications.
Take a virtual tour through IBM Impact 2014 and discover how to elevate your big data and analytics with live streaming videos, in-depth coverage, big announcements from the event and more!
Machine data is all around us: logs, sensors, GPS devices and meters to name a few. The enormous growth of machine data has become a major driver of big data solutions and a challenge for many organizations. The complex and diverse nature of machine data leaves many organizations unable to leverage it. Yet without it, they’re making business decisions on a fraction of the information available to them.