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How GPUs Have Transformed XVA Pricing and Risk Calculations

By Rebecca Golden | February 22, 2018

  Financial risk calculations have become more difficult to assess every year, and it is essential to use new approaches such as the X-Value Adjustment (XVA), which is a generic term referring collectively to a number of different “Valuation Adjustments” in relation to derivative instruments held by banks. The purpose of these adjustments is to…

When Every Moment Counts – Real-Time Analytics in Super Bowl LII

By Rebecca Golden | February 9, 2018

Eagles owner Jeffrey Lurie has long had an analytics team in place. What was missing was a coach that also believed, adopted and inspired his players to become data-driven. With Doug Pederson on the sidelines guiding the team, analytics gave the Eagles a competitive advantage throughout the season and in Super Bowl LII. The Eagles…

Ready to Renew? Improve Customer Interactions with AI-Enhanced Prompting

By Rebecca Golden | January 30, 2018

Joe is a member at a retail discount chain. Membership gets him significant discounts on all sorts of products from tires to televisions to the cheap cup of coffee he picks up daily on his way in to work. The only problem for Joe is that every time he orders a coffee, the cashier asks…

Getting to Know You: How Lippo Group Leverages a GPU Database to Understand Their Customers and Make Better Business Decisions

By Rebecca Golden | January 26, 2018

Lippo Group is a prominent conglomerate with significant investments in digital technologies, education, financial services, healthcare, hospitality, media, IT, telecommunications, real estate, entertainment and retail. Lippo Group has a large global footprint around the world, with properties and services not only in Indonesia, but also in Singapore, Hong Kong, Los Angeles, Shanghai, Myanmar, and Malaysia.…

On-Demand Self-Service Analytics for Your Organization

By Rebecca Golden | January 24, 2018

As GPUs become the standard compute fabric for the enterprise, we’re hearing more questions around operationalization of workloads on Kinetica.  For workloads which are unpredictable in terms of time, an always-on Kinetica instance makes complete sense.  However, for workloads which have predefined compute intervals and are ephemeral in nature, you may want to prop up…