Quick Overview
CME Group developers use Gemini Code Assist to automate code generation, gaining at least 10.5 hours per month per developer. This accelerates development cycles and reduces manual coding effort across their teams.
CME Group
Company Size
Large financial exchange operator
Revenue Range
Not publicly disclosed
Primary Challenge
Increasing developer productivity and speeding up software development
Key Metrics
10.5+ hours/month productivity gain per developer
The Problem
Manual coding was time-consuming and slowed development cycles
The Solution
Gemini Code Assist AI-powered coding assistant integrated with popular IDEs to automate code generation and testing
Results
Faster development cycles, reduced manual coding, increased developer efficiency
“Code Assist provides our developers with significant productivity gains, enabling faster delivery.”
CME Group Development Team
Details
Industry
Finance & Banking
Departments
Product Development & Innovation
IT & Security
Use Cases
Code Generation
Tags
GenAI
NLP
Scalability
Team Efficiency
Time-Saving
AI Tools Used
Gemini
Sources
https://cloud.google.com/transform/101-real-world-generative-ai-use-cases-from-industry-leadershttps://cloud.google.com/blog/products/application-development/an-application-centric-ai-powered-cloud
More Case Studies
See All
How Rigplay Uses Generative AI and ML to Automate Human Motion Animation and Slash Production Costs
Media & Entertainment
How Nordic Insurance Company Partnered with EY to Automate Claims Management Using AI
Finance & Banking
How Central England Co-operative Automated Employee Record Retention Compliance
Real Estate
How Macquarie Uses Predictive AI to Clean and Unify Data for Better Insights and Outcomes
Finance & Banking
How Holcim EMEA Digital Center Used GitHub Copilot to Accelerate Large-Scale Salesforce Code Refactoring and Improve Performance
Technology & SaaS
How DHL Uses AI to Optimize Logistics, Warehouse Management, and Delivery Accuracy
Retail & E-commerce