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
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
Emerging technologies—3D printing, cloud computing, the Internet of Things, mobile computing, sensors, wearable devices and the like—are transforming the ways in which modern organizations manage and use data. But much of that data remains unused. Successfully capitalizing on information
Historically, Master Data Management (MDM) projects have focused on creating a single view of the truth that can be consumed by business processes. Learn more about how the evolving need to utilize MDM serves as catalyst for a new solution extension offering a managed data preparation and data
When considering how to adapt to technology, the insurance industry can look to benefits reaped by the financial industry. In this episode of Finance in Focus, hear insurance experts Kathy Hutson and Sebastien Meunier discuss the opportunities cognitive computing can bring to the insurance industry.