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.
Big Data Use Cases
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.
"In five years, local stores will merge digital with the instant gratification of physical retail to offer a more immersive and personalized shopping experience." - Sima Nadler, IBM researcher
Read the accompanying blog post, "Applications of Predictive Analytics above the 85th Parallel."
The traditional approach to security is to build and stand on a wall protecting the most valuable enterprise assets. In a big data world, however, threats are rapidly multiiplying, originating across enterprise walls and taking new forms - making them harder to identify and defend against. Enforcing a perimeter and reacting to events are no longer sufficient. Organizations need to analyze and correlate all available streaming and historical data to continuously identify threats - and act in real time to protect all physical and cyber assets.