Business Processing Engineering

Running head: BUSINESS PROCESSING ENGINEERING
Business Processing Engineering
[Name of the Student]
[Name of the University]
[Author note]

2BUSINESS PROCESSING ENGINEERING
Introduction:
The Business Process Management or the BPM has been remaining central along with being
the foundational element for most of the organizations which are operating in today’s world. This
paper has been associated with exploring the way by which the BPM would get effected by the
various advances that has been made in the Cognitive Computing which is emerging family of the
technologies that mainly includes the natural language processing (NLP), machine learning, and the
ability of systems for the purpose of improving through the experimental learning. It is also believed
that the cognitive computing has been combined with various evolutionary advances with the other
fields which also includes the representation of the knowledge, planning in an automated way,
software-as-a-services, technologies experienced by the users and crowdsourcing would be
associated with transforming the BPM ecosystem in fundamental ways. The cognitive computing
was also associated enabling the “knowledge acquisition at scale” by taking help from the various
emerging methods for understanding the natural language and machine scale at a larger scale. This
would be associated with changing the nature of Knowledge-intensive Processes or the KiP’s which
included the shift in their underlying process met models. Along with this the cognitive computing
would also be enabling the new ways related to learning and enhancing the various processes at both
design as well as in the run-time. This would be associated with opening new levels of automation as
well as business process which would be supporting the various type of processing’s also including
the KiP’s.
According to the paper in last few decades there has been a vast expansion in the BPM
research in many directions in order to provide support to the business process which are much more
flexible along with the process mining and management of various causes related to applications and
lastly the social BPM. Besides this there exists certain work which are associated with bringing the
AI planning into the business process spaces along with processing of the textual information’s

3BUSINESS PROCESSING ENGINEERING
which are related to the processes. Despite of this in many of the research it has been seen that it is
very much closely related to the traditional BPM framework by having a clear separation between
the various process instances and the process models.
Discussion:
The report has been associated with discussing about the various framework for the cognitive
BPM where the framework has been provided in order to understand the key ways that Cognitive
Computing will transform BPM in the years which are coming. There exists four pillars and they
have been shown below:
The framework rests in part on the new kinds of information that Cognitive Computing can
make sense of, including unstructured data, Internet of Things (IoT) data, new kinds of “smart”
devices, and etc. Cognitive Computing will leverage and improve on human-to-human collaboration
because of new capabilities to ingest and reason about natural language communication, and will
improve on human-machine collaboration through better communication, and through machines
being immensely better at understanding, reasoning about, and carrying out human goals and
intentions.