Some of the most straightforward examples of AI-powered Automation in a business environment are in decision management, where AI improves decisions, and decisions help operationalize AI.
Using a business’s own historical data as input, Machine Learning provides valuable insights, that, when applied within the guardrails of decision management rules, can help organizations provide deeply personalized, responsive client experiences at scale. The combination can lead to measurable business results such as:
- Higher percentage of acceptance of promotional offers
- Increased retention rates and improved loyalty
- Reduction of fraud and lower fraud investigation costs
- Improved ratio of automated decisions, increasing overall efficiency.
We’ll explore how to achieve these results in System Z environment in an upcoming webinar. Make smarter decisions: Apply intelligence to your Z applications with digital decisioning will be held March 29 at 11am ET. Chris Backhouse, architect for IBM ODM for z/OS and Maggie Lin, architect of IBM Watson Machine Learning on Z will provide an introduction to each product and the high-speed interface between the two that helps Z users apply intelligent decisions to applications running in CICS or IMS on z/OS with superior performance results.
As always, a replay will be available after the event.
Don’t miss it! Register now.
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