Solution Accelerator - How to build: A modern risk management solution in financial services | DatabricksPlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT
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This solution has two parts. First, it shows how Delta Lake and MLflow can be used for value-at-risk calculations — showing how banks can modernize their risk management practices by back-testing, aggregating and scaling simulations by using a unified approach to data analytics with the Lakehouse. Secondly, the solution uses alternative data to move toward a more holistic, agile and forward-looking approach to risk management and investments.
Read the full write-up part 1
Read the full write-up part 2
Download notebookBenefits and business valueGain a holistic viewUse a more complete view of risk and investment with real-time and alternative data that can be analyzed on demand
Detect emerging threatsProactively identify emerging threats to protect capital and optimize exposuresAchieve speed at scaleScan through large volumes of data quickly and thoroughly to respond in time and reduce risk
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