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Web Intelligence and Big Data
Introduction to the Web Intelligence
Mangesh R. Wanjari
Lecture 1
1/4/2017 1
1/4/2017 2
Outline
• Turing test
• Intelligence of a machine
• Web scale AI applications
• Big Data?
• Analytics
1/4/2017 3
Turing test
Textual typewritten
messages only
Party Game
Which is man
and which is
woman?
1/4/2017 4
Turing test
Textual typewritten
messages only
Party Game: Replace one of the humen with a Machine
Which is man
and which is
machine?
1/4/2017 5
Turing test
Textual typewritten
messages only
Party Game: Replace Judge with a machine
Which is man
and which is
machine?
1/4/2017 6
Reverse Turing test
Textual typewritten
messages only
Like/Dislike Shopper/Surfer Rich/Poor
Which is man
and which is
woman?
1/4/2017 7
Web Scale AI
1/4/2017 8
Moore’s Law
Moore's law refers to an observation made by
Intel co-founder Gordon Moore in 1965. He
noticed that the number of transistors per
square inch on integrated circuits had doubled
every year since their invention.
1/4/2017 9
Kryder’s Law
The density of information on hard drives
has been growing at an even faster rate,
increasing by a factor of 1000 in 10.5 years,
which corresponds to a doubling roughly
every 13 months
1/4/2017 10
Big Data?
• Lots of web pages
• A billion Facebook users
• Billion+ facebook pages
• Hundreds of millions Twitter account
• Hundreds of millions Tweets per day
• Billions of Google queries per day-may be
more
• Millions of servers, petabytes of data
1/4/2017 11
Big corporations work on
• 5000-50000 servers, may be some
more
• Terabytes of data, millions
transactions per day
1/4/2017 12
Big Data technology
• Traditional BI using databases
• Google, Facebook, LinkedIn, eBay,
Amazon, … did not use traditional
databases for their data
Statistical
report
Databases Data
Warehouse
More
Databases
1/4/2017 13
What they use?
• Parallel programming
• Massive parallelism
• Map-Reduce paradigm
1/4/2017 14
Data and intelligence
• “Any fool can know. The point is to
understand.”
-Albert Einstein
The goal of understanding is to
predict.
1. Reactive Intelligence
2. Predictive intelligence
1/4/2017 15
Data and intelligence
Look
Listen
Learn
Connect
Predict
Correct
1/4/2017 16
Thank you!!!

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Lecture 2

  • 1. Web Intelligence and Big Data Introduction to the Web Intelligence Mangesh R. Wanjari Lecture 1 1/4/2017 1
  • 2. 1/4/2017 2 Outline • Turing test • Intelligence of a machine • Web scale AI applications • Big Data? • Analytics
  • 3. 1/4/2017 3 Turing test Textual typewritten messages only Party Game Which is man and which is woman?
  • 4. 1/4/2017 4 Turing test Textual typewritten messages only Party Game: Replace one of the humen with a Machine Which is man and which is machine?
  • 5. 1/4/2017 5 Turing test Textual typewritten messages only Party Game: Replace Judge with a machine Which is man and which is machine?
  • 6. 1/4/2017 6 Reverse Turing test Textual typewritten messages only Like/Dislike Shopper/Surfer Rich/Poor Which is man and which is woman?
  • 8. 1/4/2017 8 Moore’s Law Moore's law refers to an observation made by Intel co-founder Gordon Moore in 1965. He noticed that the number of transistors per square inch on integrated circuits had doubled every year since their invention.
  • 9. 1/4/2017 9 Kryder’s Law The density of information on hard drives has been growing at an even faster rate, increasing by a factor of 1000 in 10.5 years, which corresponds to a doubling roughly every 13 months
  • 10. 1/4/2017 10 Big Data? • Lots of web pages • A billion Facebook users • Billion+ facebook pages • Hundreds of millions Twitter account • Hundreds of millions Tweets per day • Billions of Google queries per day-may be more • Millions of servers, petabytes of data
  • 11. 1/4/2017 11 Big corporations work on • 5000-50000 servers, may be some more • Terabytes of data, millions transactions per day
  • 12. 1/4/2017 12 Big Data technology • Traditional BI using databases • Google, Facebook, LinkedIn, eBay, Amazon, … did not use traditional databases for their data Statistical report Databases Data Warehouse More Databases
  • 13. 1/4/2017 13 What they use? • Parallel programming • Massive parallelism • Map-Reduce paradigm
  • 14. 1/4/2017 14 Data and intelligence • “Any fool can know. The point is to understand.” -Albert Einstein The goal of understanding is to predict. 1. Reactive Intelligence 2. Predictive intelligence
  • 15. 1/4/2017 15 Data and intelligence Look Listen Learn Connect Predict Correct