Cognitive Automation Use Cases
We define cognitive automation as using software to
automate or augment tasks that process unstructured data using inference based
algorithms to produce probabilistic outcomes. During the course, the class will
examine two organizational adoptions of cognitive automation tools; one company
adopted IPsoft and one company adopted IBM Watson.
Your group’s job is to find other organizations that
are using a cognitive automation tool. You
have two options: Either interview
3 people within one organization and produce a detailed client adoption case
study, or interview 3 people from different companies and provide a higher
level description of each.
Please be aware of your audience: The audience will be aware of the market
size, definitions of cognitive automation; The audience will already be
familiar with IPsoft and Watson, but not familiar
with a new tool. So if you pick a
new tool, we will need an overview of the tool, perhaps a short demonstration
video is available.
The presentation should cover:
of company in terms of sales and profits & number of employees
products/services the company sells
level organizational chart
within the organization where CA was adopted
the business process
why the organization decided to adopt CA (business case)
did they select the tool they did?
What were the major technical challenges?
well does the CA tool perform?
were stakeholders managed? (employees, customers, managers)
were the outcomes on shareholders, employees, and outcomes?
lessons were learned?
do this case’s lessons compare with what you learned in class?