Session

A Japanese Mega-Bank’s Journey to a Modern, GenAI-Powered, Governed Data Platform

Overview

ExperienceIn Person
TypeBreakout
TrackData Warehousing
IndustryFinancial Services
TechnologiesApache Spark, DLT, Unity Catalog
Skill LevelIntermediate

SMBC-AD, a major Japanese multinational financial services institution, has embarked on an initiative to build a GenAI-powered, modern and well-governed cloud data platform on Azure/Databricks. This initiative aims to build an enterprise data foundation encompassing loans, deposits, securities, derivatives, and other data domains.

 

Its primary goals are:

  • To decommission legacy data platforms and reduce data sprawl by migrating 20+ core banking systems to a multi-tenant Azure Databricks architecture
  • To leverage Databrick’s delta-share capabilities to address SMBC’s unique global footprint and data sharing needs
  • To govern data by design using Unity Catalog
  • To achieve global adoption of the frameworks, accelerators, architecture and tool stack to support similar implementations across EMEA

Deloitte and SMBC leveraged the Brickbuilder asset “Data as a Service for Banking” to accelerate this highly strategic transformation.

Session Speakers

IMAGE COMING SOON

Anshul Wadhawan

/Principal
Deloitte Consulting LLP

Gordon Wilson

/Chief Information Officer
SMBC