Traditional BPM suites predominantly deal with transactions running through structured business processes which have been pre-defined in comprehensive detail across use case scenarios. These systems are not self-aware of their state, nor they can detect or adjust in case of performance bottlenecks on their own.
Historical & Future perspectives on BPM
The advent of Cognitive technologies has the potential to take BPM suites to a whole new level. If implemented, such systems would have highly adaptive process design and they can self-learn about their own performance (not only based on technical metrics but also business metrics like cycle time, variance, throughput, exceptions, value-added/non-value-added ratio, etc.). These systems adapt and optimize based on the learning from previous similar transactions as well as unstructured data present. For the BPM enthusiast, it could be visualized as a potent combination of Adaptive Case Management, Decisioning, AI and Big Data.
Get ready to surf the Cognitive BPM wave
Some of the possible use cases for Cognitive BPM would be:
- Self-learning Contact Centre operations with Cognitive Assistants
- Run-time process flow execution based on analysis of unstructured data
- Digital Trainees and teachers managing virtual classes
by Kasi Viswanath Kollati