The mobile market is continually growing with “mobile-based payments in the United States expected to reach $142 billion in volume in 2019.” With mobile comes mobile data and the grave need for security. Vijay Dheap, global product manager for IBM MobileFirst, declares that “mobile security
Leonardo Nantes of Boa Vista Servicios, a credit bureau in Brazil, has faced numerous challenges since a merger of two companies took place a few years ago. Boa Vista now serves hundreds of thousand clients nationwide and handles more than three million transactions per day. And because the
Addison Snell, CEO of analyst firm Intersect360 Research, talks about the dynamics unfolding in the technical computing market, and its convergence with big data analytics. In their customer surveys on big data, Intersect360 often finds that users need to scale their environments from desktops, to
Big data integration is a top use case for Hadoop and other big data technologies. David Corrigan explains the big data use case and how Hadoop falls short in four key areas: discovery, efficient development, data governance and consumability.
IBM Counter Fraud Management introduces advanced analytics and deep investigative analysis throughout the entire life-cycle of counter fraud operations. This enables organizations to aggressively handle fraudulent activity while pro-actively anticipating, preventing and continuously adapting to
Businesses today must sell confidence:confidence in their company, confidence in their product and, more importantly, confidence that they are protecting customer data. Thomas Bauman, an IT performance architect for Swiss Mobiliar, declares that "secure data is as important as customers who feel
The biggest roadblock to big data and analytics capitalization stems from people, not data. A fragmented approach to investments and decisions can result in a breakdown of trust between different groups of people who may be accessing, interpreting and using data in different ways. The right level
Bob Griffin, VP of IBM Industry Solutions discusses the deep impact fraudulent activities have on organizations and consumer confidence. He introduces a new counter fraud solution from IBM designed to help prevent and intercept attempted fraud, and employs advanced intelligence allowing
Seeing is believing. In this short demonstration, you will see the innovations announced in the prior session in action. You will see integration and governance applied to one of the most popular big data use cases: an extended 360 degree view of the customer.
The era of big data is the era of messy data. This is the big data paradox: larger volumes and variety of new sources are inherently complex, and that complexity can actually lower confidence. Organizations have created an entire role to raise confidence in big data: the chief data officer.