This document discusses how businesses can thrive in an AI-centric world through agility. It provides examples of predictive modeling techniques like classification and clustering that are used for applications in various industries. These include online marketing, banking, telecommunications, travel, and recruitment. The document also discusses advances in areas like speech recognition, object detection, natural language understanding, and generative AI. It emphasizes the importance of execution in building successful AI products and provides examples from Shiksha.com of how they have leveraged technologies like chatbots and assistants to improve customer experience.

1. Business Agility to thrive
in the AI centric World
Vivek Jain
Chief Business Officer, Shiksha.com

2. Predictive Modelling
Statistical technique to predict
future behavior
Data-mining technology that works
by analyzing historical and current
data and
Generating a model to help predict
future outcomes
Classification
Clustering
Outlier Detection
Forecast Model

3. Predictive Modelling
Clustering
Agglomerative Hierarchical
Clustering
Gaussian Mixture Models
(GMM)
K-Means
Classification
Logistic Regression
Naive Bayes
K-Nearest Neighbors (KNN)
Decision Tree
Support Vector Machines

4. Predictive Modelling
Domain understanding helps in improve
the collection of data and its pre-
processing
Understanding how to interpret the results
and how to use the predictive models is an
important pre-requisite to success
Build cross functional teams
Business Objective
Data collection,
preparation, and
cleaning
Feature Engineering
Model selection,
iterations

5. Online Marketing
To understand whether a user will
buy a product that is advertised online
Evaluate the influences for customers
(for example, prompts, product
options of fellow buyers, and so on)
Correlation between online behavior
and sales, to allocate an accurate
marketing budget
Predictive Modelling
Banking and Finance
Cash flow forecasting – spends and
payments to vendors
Customer payment predictions – if and
when customers will pay
Credit risk management – credit
scoring models have proven their
value, predict if customers will return
loans

6. Telecommunications
Predict customer churn, and
attracting new customers through
targeted marketing campaigns
Predict network congestion and
optimizing resource allocation
Reduce network maintenance costs,
and prevent revenue leakage due to
fraud
Predictive Modelling
Travel
Predict demand and offer pricing to
fulfil the demand – limited capacity that
expires if not utlized
Personalized offer to customers and
predicting efficacy of marketing
campaigns
Customer

7. Recruitment
Identify and rank potential candidates based on their qualifications, skills, and
compatibility with the desired job requirements.
Skill Gap Analysis: Predictive analytics enables recruiters to analyze the skills and
competencies required for a particular job role and identify any gaps within their
candidate pool.
Candidate Assessment by analyzing past performance, behavioral patterns, and
assessment results -> comprehensive understanding of a candidate's abilities,
strengths, and weaknesses
Retention and Success Prediction- focus on hiring candidates who align with their long-
term goals.

9. AI has crossed thresholds
of acceptability
Machines can now decipher what we speak
(speech recognition), see (computer vision) and
what we understand (natural language
understanding). They can also now respond like
humans (generative AI).

10. Scientists have been
attempting Speech
Recognition for more
than 50 years
I am
listening
and
interpreting
correctly

11. A spoken word recognized from
phonemes using acoustic models
(pronunciation by different
speakers), and understand words
in each others context using
language model
I am
listening
and
interpreting
correctly

12. Meta AI released Seamless, an AI
model that translates speech in real-
time while also maintaining similar
vocal style. The models deliver vocal
style & prosody preservation
capabilities as well as near real-time
streaming translations (2 sec
latency).
Speech recognition has
evolved from domain focused
limited vocabulary
(Automated IVR) to
continuous speech very large
vocabulary (Siri)
Technology has evolved from
Hidden Markov Models/
Stochastic Language Models
to Deep Learning Models

13. Object Detection and Tracking

14. Object Detection and Tracking for
Autonomous Driving
Different lighting conditions
Moving objects at different speeds
Different road conditions, surroundings
Cost of an error is very high
Who is responsible in case of an accident, Driver or
the car manufacturer

15. Natural Language Understanding and
Generative AI
First time I saw a demo of computer conversing in natural
language was more than 30 years ago. Technology has
evolved from a rule based, decision tree based
conversation to a more evolved unstructured
conversation.
Chatgpt is a milestone in generative AI - open ended
contextual conversations at scale of billions. Almost
covering the entire gamut of domains, industries and
usage contexts.

16. Natural Language Understanding
(NLU) and Processing (NLP)

17. Generative AI – Race
against Time to Build the
Best GPT
Core GPT models can serve multiple applications –
Multiple choice questions, Math problems, Coding tasks,
Reading Comprehension, Machine Translation and so
on.
Google released Gemini Ultra and Gemini Pro three
days ago and it has beaten GPT-4 in many of the
benchmarks.

18. Can we wish these
innovations away?
While the debate over
Responsible AI
continues…..

19. Technology disruptions
are opportunities for
businesses who are
LEADERS and
challenges for
LAGGARDS

20. Customer Service
Chatbot
Customer service team operates 9am
to 6.30pm, 5 days a week. A chatbot
operates 24 * 7.
Most request comprise of status
requests and queries about
product/service which required only
standard data based responses.
Are you working on a solution for loneliness?

23. Call Audits using Transcription
Score counselors for their ability to
handle queries basis the conversation
Measure the rate of speech and if
conversation indicates violation of
expected norms
Measure student readiness and
understand emotion while talking
Complete call audit
for a batch of calls
Benchmark with
respect to manual
audits
Real time
intervention?

24. Coding Copilot
AI pair programmer that offers
autocomplete-style suggestions as you
code.
Write a natural language comment
describing what you want the code to do.
Copilot analyzes the context in the file you
are editing, as well as related files, and
offers suggestions from within your text
editor.
Copilot is available in multiple languages
Author Copilot
Author copilot that offers
autocomplete-style suggestions as
you write.
Write a natural language comment
describing what you want the content
to do.
Copilot analyzes the content in the file
you are editing, as well as related
files, and offers suggestions from
within your text editor.

25. Only Paranoid Survive! Agile
Businesses LEAD….
Create teams to explore new technologies
Cross functional teams for collaboration
Independent mandate without limitations
Must demonstrate successful pilots
Tip
My experience with
new technological
solutions – cost
effective, + RoI and
scalable.

26. For AI, Execution is
the Strategy
Shiksha Assistant
Conversations are more engaging
Help discover information which
students may not be aware of
Suggest and guide the journey of
course selection
Conviction that Assistant is the way forward ->
initial delays and failures did not kill the project,
instead became a stepping stone for success

27. AI Buddy.
Will we find an AI Buddy who
connects emotionally and cheers you
when you are sad after a hard day’s
work? Loneliness is a disease and it is
decreasing at an exponential rate
Are you working on a solution for loneliness?
Your Innovative Idea
here…..
Creativity knows no
boundaries..

28. 500 million
pageviews,
55 lakh students
Register on
Shiksha Annually
Stay the course
If you have clarity of thought
and resolve of your conviction,
you can navigate the uncertain
world, icebergs don’t matter

29. Shiksha.com next
journey -> from a
reviews site to
counselling for
students

30. Net Promoter Score +25
I got through Amity
Noida, thank you
Shiksha for a
wonderful
experience
Sristy, BSc
Thankful to
Shiksha for
providing info on
colleges. Got
admission in JIMS
and it’s very nice.
Priyanka Dutta, BCA
Shiksha is a very good
platform where a
student can compare
colleges basis genuine
reviews for a better
decision
Haider Jamal, PGDM
Journey is more meaningful and fulfilling because students are appreciating our effort