The data lake can be considered the consolidation point for all of the data which is of value for use across different aspects of the enterprise. There is a significant range of the different types of potential data repositories that are likely to be part of a typical data lake.
With the Geospatial Analytics service in IBM Bluemix, you can monitor moving devices from the Internet of Things. The service tracks device locations in real time with respect to one or more geographic regions. Geospatial Analytics can be used as a building block in applications that support
Businesses that engage in digital transformation can transform their activities, processes and models to fully leverage opportunities provided by advanced digital technologies. See how a telecommunications provider built a real-time big data analytics platform that harnesses the power of cognitive
Customer experience management can be compared to finding a needle in a haystack. Yet, it’s actually much more challenging—akin to tracking handfuls of needles in a mountain of needles. See how organizations can effectively measure, track and manage subscriber performance in real time.
Without question, our lives are very different from only a couple decades ago, thanks in part to some pretty amazing technology advances including smartphones and other devices, mobile apps, an ever-growing array of social channels and more. Take a look at how one telecommunications organization
One thing that a recent event in Beijing, China confirmed is there’s no shortage of interest in machine learning for developers in that region. Take a look at snapshots of event highlights featuring rich content on artificial intelligence, cognitive capabilities, machine learning and more presented
Big data and design thinking share some common core principles for creating highly connected, meaningful business and customer user experiences. See why organizations worldwide are realizing the magic of combining big data with design thinking to generate value for powerful business use cases.
Today’s telecommunications providers find themselves facing a Gordian Knot when investing in improving the customer experience cost-effectively while revenue shrinks because of a variety of factors. See what some real-world telecommunications providers are doing to attempt to untie the Gordian Knot
Apache Spark, sometimes called the “analytics operating system,” is empowering organizations of all kinds through machine learning by helping them create unprecedented value from their data. Discover eight ways that Apache Spark’s machine learning capabilities are driving the modern business.
Where there’s a customer profile, there’s a gold mine. The question is, are you mining that data stream aggressively and regularly enough to unlock actionable consumer insight? Why failing to do so can lead to missed data monetization.
The rise of a widely used messaging app and how it helps customers fulfill jobs to be done is a telling example of innovation at work. See how advances in sharing images and video through messaging on mobile devices offers a lesson in how communications service providers can drive enhanced,
Price may be the assumed number one factor for customer loyalty to telecommunications provider services, but quality of service actually tends to rate higher than cost. See why telecommunications providers need to consider the customer experience holistically when addressing the elephant in the
Analytics can transform the business for telecommunications and cable providers of all sizes. As cable operators and wireless service providers integrate new channels into their business, importing real-time data into a single, holistic view across all platforms is likely to become an imperative
The numbers tell the story. High costs and poor rankings continue to plague telecommunications organizations and their traditional customer care call center operations. See how two key areas of the brain—one that controls reactive response and one that orchestrates proactive response—may be the key
Telecommunications organizations cannot ignore the need to engage in the moment by quickly and accurately predicting or detecting network and device problems that may affect the customer experience. Engaging in the moment requires proactive approaches to customer care that can greatly minimize