An introduction to ML, AI and Analytics

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An overview of Analytics Landscape Structured and un-structured data Key application areas Instructors: Mousum Dutta Chief Data Scientist, Spotle.ai Ex SAS Computer Science, IIT KGP Dr Avik Sarkar Head, Data Analytics Cell, NITI Aayog Officer on Special Duty, Govt of India IIT Bombay

Dados e análise

What you can expect in this session
• An overview of Analytics Landscape
• Structured and un-structured data
• Key application areas

Instructors and Mentors
Chief Data Scientist, Spotle.ai
Ex SAS
Computer Science, IIT KGP
Head, Data Analytics Cell, NITI Aayog
Officer on Special Duty, Govt of India
IIT Bombay
Mousum Dutta Dr Avik Sarkar

Analytics Landscape 
 
(Structured Data)

Why are we  
on/ off track?
How are we  
doing?
What should  
we do next?
DASHBOARDING SCORECARDING REPORTING ANALYSIS PLANNING
Descriptive Analytics: Business Intelligence

Understand
Predict
Act
Predictive Analytics or Data Mining

Analytics Landscape 
 
(Un-structured Data)

“80-90% of information on the net and corporate networks is unstructured” -
Goldman Sachs
Structured Data
(10-40%)
Unstructured Data
(60-90%)
The Value in Unstructured Data

Text Analytics
• Entity extraction
• Relationship
extraction
• Semantic analysis
Text Mining & Visualization
• Trend detection
• Pattern detection
• Anomaly highlighting
Text Mining or Content Analytics

• Consumer Insight
• Evaluate corporate reputation
• Improve customer care
• Understand customer needs
• Evidence based decisions
• Social Media Analytics
• Understand customer sentiment
• Spot trends
• Evolving topics
Social Media Analytics

Word or Keyword Spotting
Music or
Humming Search
Audio Analysis

Image Classification
Face in the Crowd
Real-time person
identification

on Spotle.ai, India’s first AI powered, real-
time talent network that matches talents
with the most relevant opportunities and
hirers with the right talents.

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