Macquarie Bank
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Macquarie Bank has 2 source-linked AI deployments documented in AIUseCaseHub, across 1 industry and 1 country.
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Hyperscaler mix
See whether Macquarie Bank's cases are powered by Microsoft, AWS, GCP, or multiple providers.
How Macquarie Bank builds AI
Build / Buy / Compose across this company's documented cases
2 of 2 cases classified (100%) · Compare all use-case types
Use case portfolio
Use case types at Macquarie Bank
Customer targeting leads with 1 of 2 documented cases; 2 distinct types appear across the visible portfolio.
Technology snapshot
What Macquarie Bank uses across visible cases
9 named technologies are mentioned across 2 cases, led by Google Kubernetes Engine.
Capability mix
No capability flags are attached to these cases yet.
All Use Cases (2)
Macquarie Bank Uses Google Cloud to Deliver Next-Generation Personalized Digital Banking Services
Macquarie Bank's Banking and Financial Services Group in Australia implemented a multicloud strategy including Google Cloud to transform its retail banking digital experience.They modernized infrastructure using Google Cloud Anthos, Kubernetes Engine, and Apigee API Platform to improve agility, scalability, and resilience.Machine learning and analytics on Google Cloud enable personalized customer experiences through data insights from structured and unstructured data.Google Cloud allowed the bank to reduce provisioning times from months to minutes and focus developers on innovation rather than cloud operations.The partnership supports a digital-first business model and co-innovating higher-order digital services such as home loan origination and application modernization.
Macquarie Bank: Enhanced Customer Spending Insights with DataStax Astra DB on Google Cloud
Macquarie Bank enhanced customer spending insights by enriching payment transaction data using DataStax Astra DB on Google Cloud alongside Google Kubernetes Engine, Apigee, Pub/Sub, and Dataflow.The bank used Astra DB to manage unstructured NoSQL data and integrated microservices and APIs to offer personalized transaction details including recognizable seller names, categories, and custom tags.Migrating to Astra DB’s managed service improved scalability, reliability, and operational efficiency, freeing up engineering resources to develop new digital banking services.Customers benefit from enriched, easily searchable transaction data and personalized spending insights, improving budgeting and financial control.
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