IBM has identified a number of common problems that many businesses find themselves facing in their various stages of Apache Hadoop and Apache Spark adoption. As a result, IBM has developed a set of support services to help customers accelerate time-to-value outcomes and reduce risk when building
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.
Applying cognitive technologies that understand, reason, learn and interact can improve the way insurers do business. Hear IBM insurance experts Christian Bieck and Stephen Mills discuss how outperforming insurers are rethinking insurance, based on information from the recent IBM Institute for
To serve citizens effectively and efficiently, public entities can draw from the private sector’s 360-degree view of the customer and apply analytics, big data, Hadoop, machine learning and Spark to create a single or 360-degree view of the citizen. See how this methodology can empower public
Caregivers.com is changing the way senior care providers operate through powerful insights generated through the company’s mobile app. Justin Saul, Senior Director of Technology, Caregivers.com, explains, "with IBM Cloudant and the IBM Watson Data Platform, we were able to quickly iterate on
Hunting the elusive black swan that is a fraudulent high-value payment requires a meticulous process of refining the fraud detection methodology to accurately identify the small variances in usual customer patterns. See how spotting elusive black swans requires the right tools to spot variances in
In this episode of the Finance in Focus podcast, listen as fintech experts Brett King, Matt Kinney and Bill Sullivan discuss the unique position fintech firms are in to drive the adoption of cognitive in the financial services industry.
The financial services industry is in the midst of a shift toward integrating advanced analytics techniques into fraud prevention operations. Hear from two industry luminaries how fintech organizations challenged with limited skilled resources can use advanced analytics to identify patterns and
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
At the core of many big data architectures is Apache Hadoop and Apache Spark. Organizations adopting these technologies for their big data journey are nevertheless at different levels of maturity. Hear what Prasad Pandit had to say in an interview with Andrea Braida about how IBM is evolving its
IBM Insight at World of Watson 2016 had a lot of worldwide focus on cognitive capabilities and their application in analytics, commerce and security. And yet, the General Data Protection Regulation (GDPR) adopted in 2016 and applicable in 2018, seemed to garner quite a bit of interest among
Incumbent fraud-detection models just aren’t up to the task of revealing black swans in high-value payment channels managed by financial institutions. See how the key to identifying the fraudulent activity that is a black swan in your flock comes down to understanding and spotting the deviations of