Artificial Intelligence - What, Why, Who, How?

1. Artificial Intelligence
• What
• Why
• Who
• How

2. Analytics – Introduction
What is
analytics?
› Analytics is the systematic computational analysis of data and analysis. It helps to
discover meaningful pattern in data with the use of statistics, operation research and
computer programming.
› It is a science that helps to identify the hidden patterns and
knowledge in data.
Descriptive Analytics Predictive analytics Prescriptive analytics
 Gain insight from historical
data with reporting,
scorecards, clustering etc.
 Predictive modeling using
statistical and machine
learning techniques
 Recommend decisions using
optimization, simulation etc.
Analytics - Introduction

3. AI – Used Cases ML – Used Cases
 Responding to internal agent
inquiries and providing
guidance on business
protocols
 Applied to client data to
help inform the
development of products
for insurance clients
Artificial Intelligence – IntroductionWhat is AI
› Artificial Intelligence (AI) is an area of computer science that emphasizes the
creation of intelligent machines that work and react like humans. AI makes it possible
for machines to learn from experience, adjust to new inputs and perform human-like
tasks. E.G chess-playing computers to self-driving cars – rely heavily on deep learning
and natural language processing.
What is ML
› Machine learning is a method of data analysis that automates analytical model building.
It is a branch of artificial intelligence based on the idea that systems can learn from
data, identify patterns and make decisions with minimal human intervention. The basic
premise of machine learning is to build algorithms that can receive input data and
use statistical analysis to predict an output value within an acceptable range.
Artificial Intelligence – Introduction

4. Artificial Intelligence is not new phenomenon
 1950 - Computing Machinery and Intelligence – seminal paper written by Alan Turing
Turing on the topic of artificial intelligence published in 1950 in Mind, was the first to introduce the
concept.
 1996 - Deep Blue versus Garry Kasparov - was a pair of six-game chess matches
between world chess champion Garry Kasparov and an IBM supercomputer called Deep Blue played in
1996.
 2012- Eugene Goostman (Chat Bot)- Goostman won a competition promoted as the
largest-ever “Turing test “contest, in which it successfully convinced 29% of its judges that it was human.
 2018 – Now you tell me what can we write here. – AI in agriculture, weather, Chat Box, Self driving cars,
cars, Cab booking and on and on……
Science behind Artificial Intelligence
 We are doing predictive modeling on structured data. Leveraging
AI & Robotics we can extract data from unstructured sources –
images, text, comments, tweets, etc. and deploy as a layer to
existing model and enhance the results.
Artificial Intelligence – Concept

5.  AI analyzes more and deeper data using neural networks that have many hidden layers. Building a fraud
detection system with five hidden layers was almost impossible a few years ago. All that has changed
with incredible computer power and big data. You need lots of data to train deep learning models
because they learn directly from the data. The more data you can feed them, the more accurate they
become.
Big Data
Hidden layers in
data
Deep learning
models (Neural,
AI)
Artificial Intelligence – How it Works

6. ENRON WAS RIGHT, AFTER ALL ERROR !!!
Ask Why ?
You are building complex models. WHY?
Data is missing. WHY?
Need to design deep learning algorithms. WHY?
Artificial Intelligence – WHY?
Artificial Intelligence – WHY?

7. Artificial Intelligence – WHO?
THE WHO MATTERS?
Does user has NEED?
Does user has TRUST?
Understand the REQUIREMENT
Artificial Intelligence – WHO?

8. TEACH !!!
We need to teach business USER
Knock the DOOR, then MINDSET
Hit at how you can help them in their BUSINESS
Mind
Set
Tool
Set
Data
Set
Artificial Intelligence – HOW?

9. Artificial Intelligence - Communities
AI could doom human
civilization
AI would help Human
Being to Super Human
Artificial Intelligence - Communities

10. THANKS FOR YOUR TIME !!!
There is another individual who is creating third
group. Identify him, read him and post your queries.