Mainframe Artificial Intelligence Quiz

Nov 10, 2025

Sonja Soderlund is an Oregon-based B2B freelance writer. Whether writing about mainframe computers, educational technology, or sustainable retail, she strives to bring clarity to complex issues. Connect with her or LinkedIn.

At Planet Mainframe, we’re spending the month of November focusing on AI and the mainframe. Once viewed as separate worlds, AI and IBM Z now work hand in hand to deliver real-time insights, predictive analytics, and intelligent automation across enterprise-scale workloads.

From machine learning models that run directly on z/OS to generative AI that assists developers and security teams, the mainframe’s evolution into an AI-ready platform marks one of the most exciting shifts in enterprise technology.

But how much do you really know about this powerful partnership? This is your chance to test your knowledge of AI on the mainframe’s past, present, and future. Take our quiz and see how well you understand the innovations shaping tomorrow’s intelligent enterprise!

1. What IBM system, introduced in 2017, was designed to bring machine learning directly to z/OS environments?

 
 
 
 

2. Which IBM mainframe processor first featured an on-chip AI accelerator for real-time inferencing?

 
 
 
 

3. What is the key advantage of running AI inferencing directly on the mainframe instead of offloading it to external servers?

 
 
 
 

4. Before modern AI, what type of analytics was often used on mainframes for decision-making?

 
 
 
 

5. What programming languages are most often used to build AI models that integrate with IBM Z systems?

 
 
 
 

6. What is one major challenge organizations face when adopting AI on the mainframe?

 
 
 
 

7. What is the role of data integrity in AI success on the mainframe?

 
 
 
 

8. What is one key benefit of using AI for mainframe security monitoring?

 
 
 
 

9. Why can data governance become more complex when deploying AI across hybrid mainframe environments?

 
 
 
 

10. What benefit does iterative scaling in AI model development provide?

 
 
 
 

If you didn’t score 100%, catch up on Planet Mainframe’s AI articles.

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