Like any services industry, insurance companies achieve successful outcomes by building customer loyalty and trust. Advanced data and analytics help insurance companies develop retention by gaining key insight into policyholder behaviors, needs and preferences.
Data scientists combine quantitative and statistical modeling expertise with business acumen and a talent for finding hidden patterns. IBM BigInsights 4.0 helps them accelerate data-science initiatives through support for Apache Spark 1.2.1, which can deliver dramatic performance improvements.
IBM Analytics solutions enable healthcare organizations to connect disparate information into a single trusted view and deliver insights into data. The industry-leading accuracy and performance of IBM InfoSphere Master Data Management is at the heart of a big data & analytics strategy. Armed
In India, the business of matchmaking is fast evolving. The traditional practice which was once strictly managed through family connections and word of mouth, is fast evolving to include mobile and social technology, becoming the medium of choice for meeting potential partners. With over 8000 new
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
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.
Visit the Expert Integrated Systems Blog to read
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.
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