AI Weekly Progress Report - Desklib

Running head: AI WEEKLY PROGRESS REPORT
AI WEEKLY PROGRESS REPORT
Name
Institution
Date

AI WEEKLY PROGRESS REPORT 2
WEEKLY PROGRESS REPORT
NAME:
PROJECT
TITLE:
ARTIFICIAL INTELLIGENCE
WEEK: 2 DATE:
PROGRAMMING
MILESTONE: PROGRAMMED: EXISTENT: REMARK:
Identifying the
impacts of
driverless cars in
reducing accidents.
Relating emergence
of automated cars
to a reduction in
premiums for car
insurance.
Research on how
property as well as
casual insurance
suppliers will adopt to
the AI market
(Brynjolfsson et al.,
2017).
Depicting the shift in
market to ensure third
parties such as car
manufacturers instead
of drivers.
According to
Kutsuzawa Kazuaki
(2015), scrutinizing
causes for accidents
can range from
suppliers,
manufacturers,
softwares and more.
There can be countless
causes for accidents in
automated vehicles.
EFFECTS
DETAIL: DATE: EXECUTE /
OUTCOME:
COMPLETED (Y/N)
Automated cars are
expected to be
under a jeopardy of
cyber insecurity.
Insurers commence
to develop policies
for self-driving cars
by updating their
adminstration
frameworks.
Y

AI WEEKLY PROGRESS REPORT 3
NAME:
PROJECT
TITLE:
ARTIFICIAL INTELLIGENCE
WEEK: 3 DATE:
PROGRAMMING
MILESTONE: PROGRAMMED: EXISTENT: REMARK:
Mechanization of
robotic operations
popularly known as
(RBA) has emerged
as a wealthy option
(Helbing et al.,
2018).
Clear definition of
RBA
To identify at least
three benefits brought
about by the
automation of robotic
processes.
RPA supports a
diverse range of
fiscal serving
businesses. The
operation is used to
innovate
conventional
models to entirely
mechanized tasks.
RBA is the simplest
form of automation
among all operations.
EFFECTS
DETAIL: DATE: EXECUTE /
OUTCOME:
COMPLETED (Y/N)
RPA was found to
have depreciating
effects upon
reliance on
Information
Technology.
Testing RPA on
several facets
including scalability
and consistency.
Y

AI WEEKLY PROGRESS REPORT 4
NAME:
PROJECT
TITLE:
ARTIFICIAL INTELLIGENCE
WEEK NO: 4 DATE:
PROGRAMMING
MILESTONE: PROGRAMMED: EXISTENT: REMARK:
Research according
to IBM’s institution
concerned with
valuating
businesses clarify
on the unhappiness
of insureds
globally.
Inquiring on the need
amongst insurance
companies in
identifying customers’
needs based on their
unique feel (Higgins et
al, 2016).
A new generation
of clients are
flooding the
insurance scope,
conformed to easy
digital experiences
as well as unique
offers.
Netflix, Amazon,
Facebook and Google
have greatly influenced
the generations.
EFFECTS
DETAIL: DATE: EXECUTE /
OUTCOME:
COMPLETED (Y/N)
Machine learning as
well as cognitive
computing are quite
sophisticated
technologies for
insurance
industries.
Machine learning is
a handy approach to
allow insurance
companies in
adjusting moves
based on their
clients’ feel.
Y