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
Industry | Challenge | Power11 Value |
---|---|---|
Banking / Finance | Uptime + fraud detection | Transaction + AI in same box |
Food Production | Demand forecasting, logistics | AI + ERP co-existence |
Manufacturing | Legacy modernization + AI | Run old + new side-by-side |