Case Study: Enable Risk Management with Kyligence Intelligent Data Cloud

Traditionally, risk management professionals had to choose between the full picture and interactive analytics. Banks deal with many types of risks every day including market risk, credit risk, operational risk, business risk, etc. Millions of data points are collected daily around the world and are made available for risk-related decision-making. How can businesses enable their users to fully leverage all the data assets when they make these critical decisions? In this session, we will talk about how a global investment bank built a risk analytics platform on Kyligence Intelligent Data Cloud. Kyligence analyzes users historical data, identifies the questions that are relevant to risk analysts, prepares the most up-to-date answers, and places these answers at the fingertips of all their analysts around the world. By adopting Kyligence technology, the risk management team is able to get insight from all of its historical data instantaneously, at a fraction of the cost of a traditional data warehouse. Speaker Bio: Li Kang serves as the head of Kyligence's operations for the Americas. Bringing with him a deep technical background in analytics from his time as an engineer and solutions architect, Li drives both the technical and business strategy for all of Kyligence's major efforts in the West.