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.
This infographic highlights key findings from the 2014 report titled “Pushing the frontiers: CFO insights from the global C-Suite study,” which draws input from nearly 4,200 of C-suite executives representing more than 20 industries. Learn more about the insights behind the study in this podcast.
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.
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.
When IBM became Roland-Garros's technology partner in 1985, the future looked exciting. Amazingly, the past 28 years have delivered more innovations and more advanced technologies than we could have imagined
An injured player isn't the only one who feels the pain. The loss of a key team member can negatively impact a club's chemistry, record and fan attendance. Looking to prevent injuries before they happen, the Leicester Tigers rugby team turned to IBM predictive analytics.