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An Introduction To
ML, AI and Analytics
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)
Analytics Landscape
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
Prescriptive Analytics or Optimization
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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