Jewnivations Pvt Ltd
CEO & Director
Israel India Federation Chambers
Dr. Sinora Yuval
What is Artificial Intelligence
Artificial Intelligence means creating computing systems
that have the ability to perform tasks like humans or
even better than humans.
It is a field of computer science that develops machines
or software having human intelligence such as speech
recognition, decision making, and translation abilities.
Think of Siri and Alexa, the Artificial Intelligence systems
we utilize on a daily basis.
Why Artificial Intelligence
AI automates various repetitive tasks and learning. This technology
has the ability to perform computerized, high-volume, and frequent
tasks without human guidance.
AI imparts intelligence to various products. For instance, new
smartphones that come with Google Assistant.
AI generates a progressive algorithm that learns over time. For
example, if AI recommendations are being used in an e-commerce
website, it means that this algorithm has the ability to predict what
to recommend to users the next time.
Artificial intelligence tutorial offers an understanding of deep neural
networks. These networks have the ability to learn from the legacy
data and predict patterns.
AI provides high-level accuracy which was impossible even a
decade ago. Think about it, how does your smartphone recognize
Robotics is a branch of artificial intelligence that focuses
on creating artificial agents.
These robots work like humans and execute basic tasks
such as picking, serving, moving, destroying, etc.
For example, many restaurants now have robots to
serve food quickly to the relevant tables.
Neural networks are really important in artificial
intelligence. This domain forms algorithms to detect
patterns and trends.
The name is based on neurons of the human brain as
the structure of the neural networks resembles the
These systems learn with examples just as we learn
from our mistakes or experiences.
Fuzzy Logic Systems
Instead of explicitly stating true or false, a fuzzy
logic system tells the degree of truth.
These systems even have the capability to
process noisy, imprecise, or distorted inputs
Expert systems judge human decision-making
It is a machine that judges how an organization or a
human being behaves or reacts according to their
experience and knowledge in a given field.
Natural Language Processing
Natural language processing is an essential field
of artificial intelligence.
It helps in various tasks such as translation,
sentiment analysis, named entity recognition,
topic segmentation, and speech recognition.
Applications of AI
Machine translation is a field of artificial intelligence and
computational linguistics that allow translation from one
language to another.
These systems additionally assist in estimating
turnaround time, reviewing linguistics, analyzing files,
managing language resource, etc.
Similar to machine translation, speech
recognition is a field of artificial intelligence that
recognizes the voice and converts it to text in a
Many effective speech recognition methods
utilize long short-term memory system by deep
Chatbots are definitely one of the most useful and
valuable inventions of artificial intelligence. These are
messaging bots that respond to users and solve their
These bots have natural language processing
capabilities that help them to analyze the question raised
by the user and answer it appropriately.
Some bots are intelligently programmed to learn from
past experiences and hand over the conversation to a
human representative in critical situations
It is an ability given to the machine to recognize the
facial pattern of a human. These machines compare the
facial features of the human to the ones given in the
This artificial intelligence system is also referred to as
biometric artificial intelligence as it analyzes the unique
patterns of the face of an individual based on facial
shape and texture.
Virtual assistants are often used synonymously to
chatbots but they are not.
Most of the virtual assistants now have the ability to
interpret human voice and respond in a synthesized
voice. For instance, Alexa.
It is also the basic function of virtual assistants to
interpret voice commands and execute them
Marketers can write algorithms:
Output: Consumer score, accounts they follow, posts they
like, ads they engage in.
Easier to predict customer churn
Churn rate: Customer ending, relation with
For a company churn rate should be low and new
customer should be high.
ML can predict based o certain behaviours
Prioritize and targeting ,customer personalization
ML helping marketers target their ads more effectively
AI can help sure right ads is to your target audience.
ML can help personalise the customer experience on
Algorithm can predict which type of content would be
most popular with each unique visitor. You and I can
both visit the website and see different content.
Advantages of AI
Faster data analysis
With artificial intelligence, marketers can analyze
complex data sets faster than a human.
But this increased speed doesn’t mean greater efficiency
only. Or the ability to gather and act on insights faster.
It also suggests that organizations could reduce the time
associated with processing information manually. As a
result, they could launch more effective campaigns faster
and deliver higher ROI at a lower cost.
Advantages of AI
More accurate insights
Using AI opens up the possibility to conduct a
more in-depth analysis of the data. A machine-
learning algorithm could break down complex
data sets, correlate them with other information
and deliver deeper insights.
For a marketer, the above means finally having
the ability to utilize more insights when planning
campaigns. And also, being able to act much
faster on those findings.
For them to work, today’s marketing campaigns must be
100% relevant to the target audience. Unfortunately,
many marketers lack data and insights to launch an
initiative capable of engaging their intended audience.
With AI, they can acquire all the insight they need and
increase the efficiency of their efforts.
Disadvantages of AI
In spite of many attempts, AI is still incapable of being
creative. Machine learning algorithms can’t act on the
data in the same manner as a human would.
And what goes with it, their ability to create something
based on those insights remains severely limited.
That’s just one reason why AI-created content lacks the
magic touch making a blog post, article or even a
Facebook Ad engaging.
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