Quick Overview
Macquarie employs predictive AI tools on Google Cloud’s Vertex AI platform to clean, unify, and enrich 100% of its data assets. This reduces noise and data roadblocks, enabling teams to generate better insights with generative AI tools, improving decision-making and customer outcomes.
Macquarie
Company Size
~15,000 employees
Revenue Range
Not publicly disclosed
Primary Challenge
Improving data quality and insight generation across business units
Key Metrics
\- Cleaner, unified data sets\- Reduced noise and errors\- Improved employee and customer outcomes
The Problem
Fragmented and noisy data impeded accurate analysis and decision-making
The Solution
Predictive AI models automate data cleansing, unification, and enrichment integrated with generative AI for advanced analytics
Results
\- Enhanced data reliability\- Faster, more accurate insights\- Better operational and client results
Details
Industry
Finance & Banking
Departments
Data & Analytics
Use Cases
Data Analysis
Tags
Predictive Modeling
Machine Learning
Analytics Dashboard
AI Tools Used
Vertex AI
Sources
https://cloud.google.com/transform/101-real-world-generative-ai-use-cases-from-industry-leaders
More Case Studies
See All
How PostNL Uses “Charlie” AI Digital Recruiter to Revolutionize Recruitment with 24/7 Operations and Cost Savings
Retail & E-commerce
How Perform[cb] Improved Lead Quality and Conversion Rates with an AI Chatbot Built on Amazon Bedrock
Technology & SaaS
How Typeface Uses Microsoft Azure OpenAI Service to Accelerate Personalized Content Creation at Scale
Technology & SaaS
How Morgan Stanley Enhanced Customer Support and Financial Insights with OpenAI GPT
Finance & Banking
How Zenconnect Improved Sales Productivity and Risk Management with Salesforce Einstein AI
Professional Services & Consulting
How DNB Uses AI Chatbot Aino to Automate Customer Service and Manage High Query Volumes
Finance & Banking