The Banker, the Baker, and the Manufacturer - Real-world IBM Power 11 Use Cases

The Banker (Financial Services / Insurance)

Pain Points:

• Fraud detection in real time
• High transaction volume + AI analytics
• Regulatory compliance & data sovereignty
• Legacy core banking apps (COBOL, RPG)

Power11 Advantage:

• Co-locate AI fraud detection models and real-time transactions on the same system
• Run existing AS/400 or mainframe-style apps without rewriting
• Rock-solid uptime (5-nines) — ideal for 24/7 payment processing
• OpenShift and container support for modern fintech tools

The Baker (Food Production / Distribution)

Pain Points:

• Supply chain fluctuations
• Real-time inventory + logistics
• On-prem ERP dependencies
• Food safety & traceability (e.g., FSMA compliance)

Power11 Advantage:

• Handles ERP (like SAP, Infor, JD Edwards) and real-time IoT data from factory lines
• Can run predictive AI models to forecast demand or flag spoilage
• Hybrid cloud enables disaster recovery without full migration
• Simplified stack means fewer servers, fewer vendors, better uptime

The Candlestick Maker (Home Goods / Industrial Manufacturing)

Pain Points:

• Complex multi-tier supply chains
• High cost of downtime
• Legacy AIX or IBM i systems still in use
• Pressure to adopt Industry 4.0 (smart manufacturing)

Power11 Advantage:

• Run old AIX/CICS apps while modernizing with containerized MES or SCADA tools
• Predict machine failures before they happen via embedded AI models
• Built-in support for Red Hat OpenShift and edge AI inferencing
• Power11’s strong cores = better license efficiency for Oracle/JD Edwards apps

➤ TL;DR Matrix