Anjuum Khanna-Why Artificial Intelligence Matters
                     Why Artificial 
Intelligence 
Matters
Anjuum Khanna
Anjuum Khanna- What is Artificial 
Intelligence
As the name speaks it is known as “artificial intelligence” or “machine intelligence
”.
 So Artificial intelligence (AI) is a special feature of machines, in comparison to the 
natural intelligence displayed by humans and other animals. In computer science, 
AI research is defined as the study of “intelligent agents”: any device that 
perceives its environment and takes actions that maximize its chance of 
successfully achieving its goals. 
So when a machine is involved in a function like “problem-solving” or “learning” it 
is also known as artificial intelligence.
● As intelligence is a step above the common task so a task which is common 
is not intelligence. 
● As per me, this word is a word which is full of disputes. So intelligence 
requires frequent innovation. Let us understand this with a small example.  
● As optical character recognition is frequently excluded from “artificial 
intelligence”, has become a routine technology. 
● At one point in time, this was the part of Artificial Intelligence. Right now 
these technologies are defined as artificial intelligence understanding human 
speech, competing at the highest level in strategic game systems (such as 
chess), autonomous cars, intelligent routing in the content delivery network 
and military simulations.
Types Of Artificial intelligence (AI)
● Narrow AI is what we see all around us in computers today. Intelligent 
systems that have been taught or learned how to carry out specific tasks 
without being explicitly programmed how to do so.
● Artificial general intelligence is a futuristic intelligence and is the 
type of adaptable intellect found in humans, a flexible form of intelligence 
capable of learning how to carry out vastly different tasks, anything from 
haircutting to building spreadsheets, or to reason about a wide variety of 
topics based on its accumulated experience. This is the sort of AI more 
commonly seen in movies, but this technology doesn’t exist today.
Machine Learning
In Anjuum Khanna’s definition, machine learning is a computer system which can 
feed large amounts of data, which is then used by the machine to learn how to 
carry out a specific task, such as understanding speech or captioning a 
photograph.
Neural networks
● These are brain-inspired networks of interconnected layers of algorithms, 
called neurons, that feed data into each other, and which can be trained to 
carry out specific tasks by modifying the importance attributed to input data 
as it passes between the layers.
● These are two supplementary topics which need to understand with artificial 
intelligence. One more of AI research is evolutionary computation. This is 
basically natural selection and sees genetic algorithms undergo random 
mutations and combinations between generations in an attempt to evolve 
the optimal solution to a given problem. This approach has even been used 
to help design AI models, effectively using AI to help build AI.
Artificial Applications
Artificial intelligence has dramatically changed the business landscape. What 
started as a rule-based automation is now capable of mimicking human 
interaction. It is not just the human-like capabilities that make artificial intelligence 
unique. An advanced AI algorithm offers far better speed and reliability at a much 
lower cost as compared to its human counterparts.
Artificial Intelligence in Healthcare
This is the most critical industry as it requires precision and 
accuracy. The biggest bets are on improving patient outcomes and 
reducing costs. Companies are applying machine learning to make 
better and faster diagnoses than humans. One of the best-known 
healthcare technologies is IBM Watson. It understands natural 
language and is capable of responding to questions asked of it. 
The system mines patient data and other available data sources to 
form a hypothesis, which it then presents with a confidence 
scoring schema.
Artificial Intelligence in Business
Robotic process automation is being applied to highly repetitive tasks 
normally performed by humans. Machine learning algorithms are being 
integrated into analytics and CRM platforms to uncover information on 
how to better serve customers. Chatbots have been incorporated into 
websites to provide immediate service to customers.
Artificial Intelligence in Education
AI can automate grading, giving educators more time. AI can assess 
students and adapt to their needs, helping them work at their own pace. AI 
tutors can provide additional support to students, ensuring they stay on 
track. AI could change where and how students learn, perhaps even 
replacing some teachers. It can find out the gaps and help in resolving 
them.
Artificial Intelligence in Finance
AI in personal finance applications, such as Mint or Turbo Tax, is disrupting 
financial institutions. Applications such as these collect personal data and 
provide financial advice. Other programs, such as IBM Watson, have been 
applied to the process of buying a home. Today, the software performs 
much of the trading on Wall Street.
Artificial Intelligence in Law
The discovery process, sifting through documents, in law is often 
overwhelming for humans. Automating this process is a more efficient 
use of time. Startups are also building question-and-answer computer 
assistants that can sift programmed-to-answer questions by examining 
the taxonomy and ontology associated with a database.
Artificial Intelligence in Manufacturing
This is an area that has been at the forefront of incorporating robots into 
the workflow. Industrial robots used to perform single tasks and were 
separated from human workers, but as the technology advanced that 
changed.
About Me!!!!!
I’am Anjuum Khanna. I’am an Indian Blogger, Writer and 
Tech Consultant.
A strategic leader with a proven track record of over 19 years 
in spearheading profitable ventures within Fintech, eCom 
Startups, BPOs, Telecom & D2H, spearheaded domestic & 
Global Business Operations with large team sizes. Championed 
change mngt. & enterprise wise automation initiatives within 
organisations in India & Middle East. Presently working as Vice 
President at Mswipe Technologies.
Visit Me: http://anjuumkhanna.in/