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.
Big Data Use Cases
Find out why a stronger partnership between marketing and IT can help your organization use big data and analytics to acquire, grow and retain customers.
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.
Since the IBM PureSystems family of expert integrated systems debuted in 2012, IBM has shipped more than 10,000 systems. To mark that milestone, we are presenting a series of stories about clients whose operations were transformed by IBM PureSystems.
Infographic: Healthcare is challenged by large amounts of data in motion that is diverse, unstructured and growing exponentially. Data constantly streams in through interconnected sensors, monitors and instruments in real-time faster than a physician or nurse can keep up.