Title: Olivermoore11
1What is cognitive RPA and why do you need it
2 Introduction Having reaped the benefits of
accuracy, speed, and precision, the
digitally-driven world is moving beyond simple
automation processes. The expectations for an
automation tool are increasing from being an avid
follower to an optimizer that will not only
complete the given task at accelerated pace but
also with improved efficiency and productivity.
The traditional RPA tools complement the two
areas where humans lag precision and agility.
These features of robotic software make them a
perfect fit for repetitive activities and
back-end processes. They prove to be an
incredible support in delivering significant
output in a shorter turnaround time. As the
complexity of processes is growing, the human
workforce is developing the need for a sharper
assistant who can also bring intelligence on the
table. The conventional RPA tool is more or less
a brainless fool that can carry out actions with
remarkable accuracy and speed. This tool can
perfectly do what it is told to do. It is a fine
mimic that can duplicate manual actions with 100
precision. With advancements in AI and ML, RPA
tools are getting smarter and paving way for
hybrid, cognitive RPA platforms.
3 Cognitive Robotic Process Automation (CRPA) is
a business-driven marriage between Artificial
Intelligence and robotic software. The offspring
of this marriage is a hybrid tool that can
perform more intelligent and complex tasks than
simple data entries. The amalgamation of AI and
RPA, a cognitive RPA or hybrid RPA, fits the bill
of these expectations. Having found the
appropriate candidate in CRPA their rising
demands, business organizations are swiftly
putting things in motion for its adoption. This
will be the first step in realizing true
hyperautomation. Gartner has placed
Hyperautomation as the top technology trend for
2020. Hyperautomation leverages advanced
technologies of AI and ML and is a well-thought
combination of tools such as RPA, Intelligent
business process management suite (iBPMS). As
predicted in a recent report, there will be a
staggering 40 Compound Annual Growth Rate for
the Cognitive RPA market from 2019 to 2027. This
growth is expected to make the CRPA market worth
150 billion globally by the end of 2027.
4 What is Cognitive RPA? Cognitive RPA is an
automation tool that can understand deep
complexities of a process and adapt to the
varying requirements as and when required. With
the ability to sift through structured and
unstructured data bases, a CRPA tool limits the
need for human intervention in carrying out
labor-intensive activities. The legacy RPA tools
are great at execution, but terrible at making
judgements. This shortcoming of RPA is overcome
by injecting cognition into it. In addition to
undertaking the three key responsibilities of
automation, accuracy, and speed, a cognitive
robotic process automation tool drives
analytic-based decisions. Cognitive RPA derives
its intelligence from the core features of
Natural Language Processing (NLP), Optical
Character Recognition (OCR), and Machine Learning
(ML). These characteristics help this evolved
version of RPA to make sense out of volumes of
data to extract actionable information. While the
simple RPA tool is unable to perform actions that
are beyond the scope of its programmed
regulations, cognitive RPA employs machine
learning to adapt and improve with the changing
needs. Read the complete blog on
https//www.cigniti.com/blog/cognitive-robotic-pro
cess-automation-crpa/
5