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.
Countering fraud is an ongoing process in the world of finance, but it need not be an overwhelming one. When identifying fraudulent activity amid the millions of transactions that flood financial networks, IBM Safer Payments offers ways to help manage workloads while avoiding false positives.
The complexity of multiple data sources contributing to the rising tide of data has executives at many enterprises up at night because of concerns involving risks, regulations and compliance. See why information governance is especially vital in today’s complex ecosystem of voluminous data sources
Over the past two years IBM has been moving in the direction of being a data driven cognitive and cloud company. As part of this transformation, IBM has acquired The Weather Company that provides some of the most accurate weather data to pinpoint the impact of impending weather event to a specific
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
The dawn of the cognitive era is upon us, and many organizations today have the data and analytics capabilities to begin their cognitive journeys. Take a look at recent survey results available in the seventh annual IBM Institute for Business Value analytics research report.
The combination of Jupyter Notebooks, Apache Hadoop and Apache Spark has become a killer app for data practitioners. It unlocks the ability to explore, visualize and experiment with both structured and unstructured data sets with great ease and efficiency. We spoke recently with Chris Snow at IBM
Fintech products and innovative banking business models are creating a disruption upheaval in the global banking industry. Discover how retail banking can redefine business and operating models by offering innovative customer propositions through implementation of a big data–enabled recommendation
No letup in cyber crime can be achieved without a concerted effort by everyone. Hear what cybersecurity experts have to say about the collaborative approach to fighting cyber crime in a recent Analtyics Brief.
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.
IBM extended Big SQL, which was formerly exclusive to the IBM Open Platform (IOP), to the Hortonworks Data Platform (HDP) in September 2016. I recently spoke with Berni Schiefer, an IBM fellow in the IBM Analytics group, to learn more about the offering and the ongoing IBM focus on SQL.
Nancy Hensley, director of offering management for IBM Analytics speaks with Rob Thomas, vice president of development for analytics, at IBM, on the subject of business transformation, leading to a discussion of the data maturity curve.
In a world overrun with competing local, national and global regulations touching every aspect of finance, compliance can seem elusive—even unattainable. Yet, modern financial institutions have the ability to not only survive but also thrive amid an ever-changing regulatory landscape. Discover how