Artificial Intelligence: Machine Learning, Deep Learning, and Business Models

Running Head: ARTIFICIAL INTELLIGENCE
0
Artificial Intelligence
Introduction to informatics
(Student Details:)
9/26/2018

Artificial Intelligence 1
Contents
Executive Summary...................................................................................................................2
Artificial Intelligence.................................................................................................................3
Introduction................................................................................................................................3
Artificial Intelligence as Machine Learning..............................................................................3
The major types of Machine Learning.......................................................................................4
Supervised Learning...............................................................................................................4
Unsupervised Learning..........................................................................................................4
Reinforcement Learning.........................................................................................................5
Deep Learning............................................................................................................................6
Effect of Deep Learning (referred as DL) technique on Value creation................................7
Convolutional Neural Network..............................................................................................8
Processing an image through CNN....................................................................................8
CNN Business Models...............................................................................................................9
Diagnose health problems from medical image scanning......................................................9
Detect defect and inspect products in a steel production line through Real-time image
processing...............................................................................................................................9
Conclusion and Recommendations..........................................................................................10
References................................................................................................................................11

Artificial Intelligence 2
Executive Summary
Artificial intelligence (AI) has the transformative potential of changing our lifestyle, work
style and business style. As the electricity and the internet transformed humanity forever in
the 20th era, similarly AI will transform the whole world in the 21st era. It is predicted that AI
will massively shift people’s perceived and interactive power through AI technology. Now
also machines are performing a huge number of tasks and even in some cases they are
performing better job than human beings.
AI is an authority term for all innovative technologies that are encouraged by living human
brain systems that provide computers human-alike capabilities of seeing, hearing, reasoning
and learning. Today, AI technology incorporates things as machine learning, machine
reasoning, usual language processing (NLP), deep-learning, and computer vision.
However, if AI truthfully beneficial for the whole humanity and not just aggravate inequality,
then we need to be attentive about its building process. Moreover, we must think sensibly
about how our own findings and tools might change our future life. Therefore, concrete
imagination is needed, as AI is still on its way to build the transformed technological world.
Human society can still form it in accordance to leverage all.

Artificial Intelligence 3
Artificial Intelligence
Introduction
Artificial intelligence (here in after referred as AI) is an old knowledge set, but numerous
imperative and innovative technologies are emerging which are the results of compute, big
data, and cloud storage (Cristianini, 2016). AI technology is a liberatory by core nature and
industries those assimilate it, will found their workers more advanced, creative, and greatly
adaptive than ever before. However, these above technologies are still in initial stages and
there is a long way to achieve ahead. In this report, we will examine important technological
issues as well as social issues related to AI for all main industrial areas while integrating AI
into apps, medical procedures, automated innovation, business intelligence, daily leisure ness,
and key business processes in order to support human decision-making (Bengio, 2016).
Although, the aim of AI implementation is society beneficial motivational study in all areas,
from security and control to economics, law, technical topics, security and control. However,
Short term risks attached with AI can be explained with this example: If your laptop is
controlling your airplane, car, pacemaker, automated trading structure and the power grid
then it will definitely give awesome results. On the other hand, it may result in a major
nuisance if the laptop either crashes or gets hacked and all technological benefits through AI
will be vanished at that moment. Similarly there are so many long term risks attached with
AI, which will be discussed in the below sections of this report (Clickatell, 2017).
Artificial Intelligence as Machine Learning
To understand AI as a Machine Learning (here in after referred as ML), first we need to
understand AI and ML separately then only we can relate the two (Jones, 2018). AI is defined
as the capability of a machine to execute cognitive functions of human brains such as
learning, reasoning, perceiving and problem solving. Some key technologies that allow AI to
resolve business issues are as follows:
 Machine Learning
 Robotics and self-governing vehicles
 Virtual agents
 Computer vision (McKinsey Analytics, 2018)