Complement Watson Conversation with Business Decision
Today I presented to IBM Reference Architecture team, with Guilhem Molines, IBM Operational Decision Management product architect, a new solution we are using during our consulting engagements that leverages the Watson conversation to gather customer's input and send to a decision service running in ODM. The solution is implemented as part of github.com (https://github.com/ibm-cloud-architecture/refarch-cognitive-prod-recommendations) so every IBM customers or consultants can study it.
Integrating chatbot in business applications, is definitively a trend started two years ago, and a lot of companies are still implementing solutions today. As part of the continuous improvement and optimization of the business operations, the next step is to use the data gathered during the conversation and apply business rules on top of it to deliver next best action or best recommendations. This will limit the human intervention to complex cases only, offloading the workload to rule engine.
To play with our solution you need an IBM Cloud public account, and the code and artifacts we developed to be able to run this solution. The solution integrates with [Decision Composer].
Have fun with this new assets and feedbacks are welcome.
Integrating chatbot in business applications, is definitively a trend started two years ago, and a lot of companies are still implementing solutions today. As part of the continuous improvement and optimization of the business operations, the next step is to use the data gathered during the conversation and apply business rules on top of it to deliver next best action or best recommendations. This will limit the human intervention to complex cases only, offloading the workload to rule engine.
To play with our solution you need an IBM Cloud public account, and the code and artifacts we developed to be able to run this solution. The solution integrates with [Decision Composer].
Have fun with this new assets and feedbacks are welcome.
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