In a recent CrowdChat discussion, a group of Hadoop and Spark subject matter experts from the IBM Analytics group discussed using cloud-based Hadoop and Spark services as a lever for business agility. From their contributions we drew ten hot topics and themes for experts in all areas of the big
Some organizations misunderstand the optimized way to use Hadoop and Spark together, primarily because of their complexity. But investing in both technologies enables a broad set of big data analytics and application development use cases. See what Niru Anisetti and Rohan Vaidyanathan have to say
Holiday operations can be quite demanding for any organization, but if you operate from the North Pole and work against the clock all year to meet your late December deadline, then you need big data and analytics. Hear what big data and advanced analytics expert Tripp Braden had to say about this
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
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
Don’t let your sales compensation dashboard tell you half the story. Take a look at the five key productivity metrics and five key people metrics you need to consider when determining whether your sales employees are performing as expected, driving your organization’s strategy and motivated to take
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.
In this Conversations in Sales series podcast, hear Emily Manley at IBM and Barry Trailer, chief research officer at CSO Insights, a division of MHI Global, discuss sales performance management (SPM) and incentive compensation management (ICM). From this insightful discussion learn more about the
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
Learn how IBM SPSS Statistics can enhance the value that statistical analysis adds to a business, and find out how you can tap into the power of high-performance statistical modeling in your own organization.
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