Welcome to the 2 nd session of BET.. Faculty for the session: Dr. Sanjay Bhatikar Director, Monsanto Research Centre 11 th August 2016, from 2.25 pm to 4:00 pm In this session we will hear about B. E. T. - Business Education Timeout! Bricks with Clay: Building blocks for a career in Data science
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Welcome to the 2nd session of BET..
Faculty for the session:Dr. Sanjay BhatikarDirector, Monsanto Research Centre
11th August 2016, from 2.25 pm to 4:00 pm
In this session we will hear about
So.. Let’s BET!
B. E. T. - Business Education Timeout!
Bricks with Clay: Building blocks for a career in Data science
I. THE ART OF SCIENCE
Art becomes science
Cogito, ergo sum
Cogito, ergo ..ummm
II. AI – AND SO IT BEGAN
Create
Market
Make
III. HOW TO DECIDE
ARE YOU SMARTER THAN 134 OTHER WOMEN IN MONSANTO WOMEN’S NETWORK?
1.In this short puzzle, you’ll try to outwit the masses – who are also trying to outwit you.
2. Your mission is to read the minds of your fellow Prasiti members.
3.Pick a number from 0 to
100, with that number representing your best guess of two-thirds of
the average of all numbers chosen in the
contest.
4. Stop and think for a
second. What is everyone
else going to do?
EXAMPLE I
Average: _______You Win by Picking: _______
41, 37, 42, 49, 33, 51, 43, 35, 47 4228
EXAMPLE II
Average: _______You Win by Picking: _______
21, 1, 12, 10, 13, 9, 17, 5, 11 117
When you’re ready, write the number down.
Stop and think for a second. What is everyone else going to do?
GAME ON!
We tend to make every decision like it is the first time ever.
DECISION
ALTERNATIVES
ARGUMENTSCRITERIA ASSUMPTIONS CONSTRAINTS
IV. OF SHAKESPEAREAN INSULTS & BEER
How to represent Date in an IT system?
String Julian Object
1. Ease of interpretation
2. Multiple nomenclatures
3. Operations require implementation
1. Counter-intuitive
2. One nomenclature for all purposes
3. Operations simpler with libraries
1. Platform dependent
2. Ease of operations
mm/dd/yy 1470900783
<interpretability> <operability> <portability>
V. DATA MODELS &
VISUALIZATION
Let’s have a party and invite all our friends!
Let’s do that!
Great! I’ll get a list going and mail it out
to you. Update it and revert.
What the
@*#?<!
# Name Veg Beer
1 Marco N Y
2 Ryan Y Y
# Name Veg Beer
1 Marco N Y
2 Ryan Y Y
3 Jane N Y
# Name Veg Beer
1 Marco N Y
3 Jane N N
# Name Veg Beer
1 Marco N Y
2 Ryan Y Y
3 Jane N N
MODELVIEW CONTROLLER
Movie
NameYear_of_ReleaseGenreRatingStars
Movie
IDNameYear_of_ReleaseRatingStars
Genre
IDName
MG_Link
Movie_IDGenre_ID
Movie
IDNameYear_of_ReleaseRating
Genre
IDName
MG_Link
Movie IDGenre ID
Actor
IDNameBornDiedAddress
MA_Link
Movie IDActor ID
Movie
IDNameYear_of_ReleaseRating
Genre
IDName
MG_Link
Movie_IDGenre_ID
Actor
IDNameBornDiedAddress
MA_Link
Movie_IDActor_ID
SELECT Movie.Name FROMMovie, Genre, MG_Link,Actor, MA_Link
WHEREGenre.ID = MG_Link.Genre_ID
AND MG_Link.Movie_ID = Movie.IDAND Actor.ID = MA_Link.Actor_IDAND MA_Link.Movie_ID = Movie.IDAND Genre.Name = “Thriller”AND Actor.Name = “Al Pacino”AND Movie.Rating > 8.5
Movie
IDNameYear_of_ReleaseGenreRatingStars
Genre
IDName
MG_Link
Movie IDGenre ID
Actor
IDNameBornDiedAddress
MAS_Link
Movie IDActor IDScreen_name ID
Screen_name
IDNameSynopsisQuotes
VI. APPLICATION PROGRAMMING
INTERFACE
POST
GET
PUT
DELE
TE
Request
Response
http://www.omdbapi.com/?t=Star+wars
{“Title”: “Star Wars”, “Year”: “1983”“Rated”: “N/A”…
}
VOLUME
VARIETY
VELOCTY
SHAREABLE
INTEGRATABLE
SCALABLE
UN
ICO
RNS
Construct the productImplement in code 3
Translate the problemSpeak business and IT 1
Re-imagine the processCast in digital avatar 2
JUST
DO
IT
Design APIsUse: Behavior Driven Developm3
Construct OntologiesUse: Semaphore 1
Build Data Models & Viz.Use: Spotfire, SQL, Excel 2
BACKUP
Artifacts1. Recipes2. Marker Pen 3. Chocolates
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