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VIDEO
Intel Confidential – NDA use only.
S . M . L . Xl .
All sizes of data matter
jayant murty – Director marketing, A
PACIFIC JAPAN
Jayant has over 20 years of experience in building great brands and businesses across
the world. He has held various positions in brand and agency management and prior to
Intel, Jayant was Senior Vice President and head of the Bombay office (JWT/WPP
network), a full service creative and media agency. During his career Jayant has worked
across a wide range of categories from airlines, automobiles and consumer electronics to
banking, retail and fashion. He has a reputation for challenging the status quo and is
passionate about AI, robotics, design thinking and maker movements.
He helped put Intel in the Top 10 Socially admired and loved brands in the world. He is a
regular speaker on innovation & creativity at Ad Tech, Festival of Media, Marketing
Matters, WPP Stream, NYT and Economist conferences, CDX Forum, Media 360 Asia,
Campaign Magazine’s conferences to name a few.
In 2012 he was nominated to the Digital 25 by the Producers Guild of America and in 2016
to the A-List that honors the most powerful people in the media business in Asia. He
serves on several juries for digital and media awards and the work he has been
associated with over the years have won many awards including several Cannes Gold,
One Show, Grand Clio, D&AD, Spikes, FWA , Effie's to name a few
Placeholder Footer Copy / BU Logo or Name Goes Here
Why now?
Intel Core
i5
The attack of the exponentials. We are
drowning in data
Just 25 self-driving cars would create as much data in one year
as the entire written works of mankind
Placeholder Footer Copy / BU Logo or Name Goes Here
Exactly a year ago ..
The kentucky
derby- May 8th
2016
Artificial Intelligence Turns $20 into
$11,000
VIDEO
It is not algorithms. It is deep learning VIDEO
Job replacement is not fiction. It is real
By 2025, up to a quarter,
of jobs will be replaced by
either smart software
or robots
BOSTON CONSULTING
GROUP
11
This factory, aims to reduce
the current workforce of
1,800 by 90%, according to
Chen Zingui, chairman of
the board.
IN THE PLACES YOU DONT EXPECT. FOR
THE REASONS YOU LEAST EXPECT
12
The future is here
it is just not evenly
distributed
AND NO INDUSTRY IS BEYOND IT
VIDEO
14
50%
90% ACCURACY – big data beats the best
doctors
I’m either going
to be one of the first
to be able to
outrun a cancer like
this, or I’m going to
be one of the last
to die from it.”
And the holy grail – extending human life
The tesla value exchange is data
17
And data is going to impact recalls and
lawsuits forever
18
8.5x 34x
But what do we know about tesla drivers?
Data has to impact how you run your
business
Making personalized
recommendation for customers
Anticipate the future
performance of employees
Forecasting long term
customer loyalty
Rating the credit risk of loan
applicants
AND SIGNIFICANTLY INCREASE THE
REWARD AT A MUCH LOWER RISK
V
S.
UNANSWERED CALLS
MULTIPLE APPLICATIONS FROM
SAME WI-FI HOT SPOT
SAME APPLICANT FROM TWO
DIFFERENT PHONES
BORROW IN ONE CITY AND
SPEND IN ANOTHER
30,00O LOAN APPLICATIONS A DAY. TO
PEOPLE UNDER 30 YRS
$1 Trillion: but we are not equal
23
Data is the consumer weapon to beat the
system
24
you will save enough to buy
that new 2 in 1
25
2500000 55,000
Revenue maximization with algorithmic
pricing strategies
26
And the big servers are allowing for it
20-30x 30-40x
27
FORECASTING. YIELD & EXPENSE MANGEMENT.
CUSTOMER DELIGHT. MARKETING EFFECTIVENESS
Managing perishable commodities
28
and driving impact with very small data
29
Designing the guest experience
today requires thinking
through the entire travel process
From check-in to check-out – one customer
view across departments
Pull media is being slowly and steadily
being replaced by push media -
Information, status updates, photos of your
friends, cat videos, news…
They come at you. They find
you….And the media that
don’t are hardly found at all
32
Driving loyalty with deep customer data
And data transparency is a whole new idea
EVERLANE
Buy Less Buy Better
As a business we appreciate holiday shopping
but we feel the excess around Black Friday has
put the focus on quantity over quality
Because we want to help people consume
less by creating fewer longer lasting
products, we decided to shut down the site
today
Have a wonderful holiday and we
will be back tomorrow
IS THERE A PERFECT HOME…
…THERE COULD BE A PERFECT HOME by
analyzing data
VIDEO
WHO WANTS TO BE A
MILLIONAIRRE
EVEN CONSUMERS USE BIGGER DATA
FOR REVENUE MAXIMIZATION
LIFE LINES
50/50 – 50%
Phone a Friend – 65%
Poll Audience – 91%
Data is the Voice of the Customer,
Data Science is the Interpretation of
that Voice
MAKE IT WORK FOR THE PEOPLE THAT
LIVE ON THE PLANET
Data & human insight
MAKES FOR A
powerful combination
WHAT’S YOUR FAVORITE PIE?
See different See new See better
IT IS NOT ABOUT SEEING MORE
Like Pepsi more than Coke Believe in UFO, Check FB constantly, Small town
Read Wired magazine Prefer redheads
Use fake ID Have been, teacher coach or mentor
Use Mac Dancer
USE IPHONE TIP GENEROUSLY
Use Android Be female
DOG PERSON
WATCH SEINFELD AND NOT X
FILES
Like the Cookie Monster Believe in life after death
Like Pulp in your Orange juice Cross street against the light
Foodie Fear dentists
SPEAK MORE THAN 4
TV IS SMALLER THAN 42”
If you : Then you are more likely to:
Big data means – “don’t start with a hypotheses”
44
CUSTOMER CENTRICITY makes SMALL
DATA meaningful
What work arounds
have people invented
Do you have job that
needs to be done
Where do you see
non consumption
THERE IS as MUCH TO LEARn FROM
buyers as prospects
What tasks do people
want to avoid
What surprising uses have customers
invented for existing products
46
SO WHAT jobs are people trying to get done
while BUYING AN APARTMENT
47
Do you have job that
needs to be done
What work around
have people invented
What tasks do people
want to avoid
What surprising uses have
customers invented for
existing products
SMALL DATA OFTEN
LEADS TO INNOVATION
48
HOW CAN DRUNKEN DRIVING BE TO
YOUR ADVANTAGE?
49
BY LOOKING AT DATA THAT MATTERS
50
AND TURN THAT IN TO REVENUE EVERY
NIGHT
AND increase THE REVENUE OF YOUR
PARTNERS
52
YES
SO WHAT IS SHOPPING?
Shopping is about making decisions
should I get insurance? should I buy a
jacket for the interview? should I get
braces? should I take that class?
53
CHOICE CRIPPLES YOU
30% 3%
6
24
AND HAS IMPACT ON REVENUES
3913639136
MORE CHOICE CRIPPLES EVEN MORE...
56
...IF YOU DON’T use data to provide
SHOPPING ASSISTANCE
There is no greater objective than customer
obsession
“To invent you have to experiment, and if
you know in advance that it's going to
work, it's not an experiment.”
-Jeff Bezos, Amazon
“We're not competitor obsessed. We
start with the customer and we work
backwards.”
PERSONALIZ
E
IT IS ABOUT ME. WHAT CAN YOU DO
FOR ME?
KNOW
RECOMM
END
59
The aspiration that every retailer should
have
PUSHING THE LIMITS OF
AVAILABLE TECHNOLOGY
AND INFRASTRUCTURE IN
ABSOLUTE SERVICE OF
THE INDIVIDUAL
CUSTOMER
60
Technology is not the laggard. Businesses
are
TECHNOLOGY HAS PROGRESSED FAR FASTER THAN BUSINESS AND MARKETING’S
ABILITY TO REDEFINE ITSELF AROUND A PERSONALIZED DELIVERY
Iles Pavey. Chief scientist - Dunnhumby
Of retail executives say consumers
are increasingly demanding a
personalized approach to shopping
online and in store
-Drapers & Retail Week Personalization Report
March 2016
We know it
VIDEO
Drive personalization data to increase
consideration
64
Drive personalization data to increase
conversion
65
VIDEO
66
And finally personalization to change your
revenue model
67
Cost of device:
£470
Box of 28
capsules:
£22 - £29
30ml pot of serum:
£16 - £20
And finally personalization to change your
revenue model
FOR
YOU
FOR
SALE
Intel Confidential – NDA use only.
Eliminating friction through
intelligence -
real and artificial
ONE CLICK I NO CLICK I HANDS FREE
AND THE pain for all RETAILERS -
ABANDONMENT
72
ELIMINATING THE SHOPPING CART
Eliminate FRICTION WITH REAL TIME
INTERACTIVITY
50
%
of search queries will be
speech or image by 2019
Andres Ng, Baidu
60,0
00x
Visuals are processed 60,000X
faster in the brain than text
3M Corporation, 2001
AND THAT INTERACTIVITY will have to
be on the USER’S TERMS
i
Even banking is being driven by voice
MISSING THIS TREND COULD HAVE BIG
LONG TERM EFFECTS
77
Where are you In the journey?
Do you know who
visited you store
today?
How well do you
know them?
Do you know why
they bought?
Do you know why
they did not buy?
NOW WHAT WILL YOU DO ABOUT IT?
THIS IS THE BEGINNING OF BEING A DATA COMPANY
In-store cameras- video analytics for
revenue maximization
Study the heat maps
What parts of the store gets the most
traffic?
Are there some products that are more
eye stopping that others?
Did they walk past it or did they engage
on the keyboard/screen?
What software did they use
WhatsApp and wechat to befriend
customers
Always find an excuse to get it
Serve them. Don’t spam them
Get to know them better
Let them know when their favorite
product is in-store
Let them know when it is available at a
lower price
And through reco engines offer them
products that may interest them
Connect straight to commerce
Instant Mobile display for closing the sale
Past purchase record
Past interest record
Past interaction record
Any thing interesting / specific about the
person from
LinkedIn I Facebook I Instagram
…That allows your sales person to have
an engaging conversation and SELL
From purchase record identify their
preferences / passions
Game controllers  Gaming PC
DSLR Camera  Hi Performance
Notebook with s/w preloaded
Fashionable phone covers – thin, light
sexy electronics
Deep personalization online. Partial
personalization offline
In-store customization
Turn by Turn navigation
Take me to a product
Take me
- Only to ‘editors picks’
- Only to highest rated products
- Only to products on markdowns
- Only to products that my friends
have bought
View in-store inventory
Use the sales data to shelve and display
Look at product reviews to ensure that
“Best review” products have premium
spaces/hot spots
Dynamically price “Poor review products”
modular architecture for revenue
optimization
Start with any category
Encourage people to use the Bots before
they come to the store
Fun conversational style puts them at
ease compared to an ad or a sales pitch
Narrow the choice to 2 with BOTS
Narrow the choice to 1 with the in-store
sales advisor
Connect straight to commerce
Make choosing and buying easy with bots
Browse at home to indicate preferences
Push notifications to your phone
in-store
In-store recommendations points you to
products that meet your need
Browsing behavior should drive your
supply chain decisions
Time spent on pages of your web site can
drive pricing decisions
Buy anywhere – return anywhere
Make online to offline seamless
DATA & A.I WILL REVOLUTIONIZE MARKETING + BUSINESS
TESTING, LEARNING, ACTING WILL BE REAL TIME, ALL THE TIME
MAKE SHOPPING UBIQUITOUS, SEAMLESS, FRICTIONLESS
SURIVIVAL HINGES ON HAVING A DATA SCIENCE MIND SET
FOCUS ON PERSONALIZATION FOR REVENUE AND PROFITS
summary
Jay Walker, TEDMED
“Every powerful tool has a dark side. Every
last one. Anything that is going to change the
world by definition has to be able to change it
for the worse as well as for the better. It
doesn't work one way without the other.”
In closing
Keynote presentation   s, m. l. xl. all sizes of data matter when you want to reinvent your business

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Keynote presentation s, m. l. xl. all sizes of data matter when you want to reinvent your business

  • 2. Intel Confidential – NDA use only. S . M . L . Xl . All sizes of data matter jayant murty – Director marketing, A PACIFIC JAPAN
  • 3. Jayant has over 20 years of experience in building great brands and businesses across the world. He has held various positions in brand and agency management and prior to Intel, Jayant was Senior Vice President and head of the Bombay office (JWT/WPP network), a full service creative and media agency. During his career Jayant has worked across a wide range of categories from airlines, automobiles and consumer electronics to banking, retail and fashion. He has a reputation for challenging the status quo and is passionate about AI, robotics, design thinking and maker movements. He helped put Intel in the Top 10 Socially admired and loved brands in the world. He is a regular speaker on innovation & creativity at Ad Tech, Festival of Media, Marketing Matters, WPP Stream, NYT and Economist conferences, CDX Forum, Media 360 Asia, Campaign Magazine’s conferences to name a few. In 2012 he was nominated to the Digital 25 by the Producers Guild of America and in 2016 to the A-List that honors the most powerful people in the media business in Asia. He serves on several juries for digital and media awards and the work he has been associated with over the years have won many awards including several Cannes Gold, One Show, Grand Clio, D&AD, Spikes, FWA , Effie's to name a few
  • 4. Placeholder Footer Copy / BU Logo or Name Goes Here Why now?
  • 5. Intel Core i5 The attack of the exponentials. We are drowning in data Just 25 self-driving cars would create as much data in one year as the entire written works of mankind
  • 6. Placeholder Footer Copy / BU Logo or Name Goes Here Exactly a year ago ..
  • 8. Artificial Intelligence Turns $20 into $11,000 VIDEO
  • 9. It is not algorithms. It is deep learning VIDEO
  • 10. Job replacement is not fiction. It is real By 2025, up to a quarter, of jobs will be replaced by either smart software or robots BOSTON CONSULTING GROUP
  • 11. 11 This factory, aims to reduce the current workforce of 1,800 by 90%, according to Chen Zingui, chairman of the board. IN THE PLACES YOU DONT EXPECT. FOR THE REASONS YOU LEAST EXPECT
  • 12. 12 The future is here it is just not evenly distributed AND NO INDUSTRY IS BEYOND IT
  • 13. VIDEO
  • 14. 14 50% 90% ACCURACY – big data beats the best doctors
  • 15. I’m either going to be one of the first to be able to outrun a cancer like this, or I’m going to be one of the last to die from it.” And the holy grail – extending human life
  • 16. The tesla value exchange is data
  • 17. 17 And data is going to impact recalls and lawsuits forever
  • 18. 18 8.5x 34x But what do we know about tesla drivers?
  • 19. Data has to impact how you run your business
  • 20. Making personalized recommendation for customers Anticipate the future performance of employees Forecasting long term customer loyalty Rating the credit risk of loan applicants AND SIGNIFICANTLY INCREASE THE REWARD AT A MUCH LOWER RISK
  • 21. V S. UNANSWERED CALLS MULTIPLE APPLICATIONS FROM SAME WI-FI HOT SPOT SAME APPLICANT FROM TWO DIFFERENT PHONES BORROW IN ONE CITY AND SPEND IN ANOTHER 30,00O LOAN APPLICATIONS A DAY. TO PEOPLE UNDER 30 YRS
  • 22. $1 Trillion: but we are not equal
  • 23. 23 Data is the consumer weapon to beat the system
  • 24. 24 you will save enough to buy that new 2 in 1
  • 25. 25 2500000 55,000 Revenue maximization with algorithmic pricing strategies
  • 26. 26 And the big servers are allowing for it 20-30x 30-40x
  • 27. 27 FORECASTING. YIELD & EXPENSE MANGEMENT. CUSTOMER DELIGHT. MARKETING EFFECTIVENESS Managing perishable commodities
  • 28. 28 and driving impact with very small data
  • 29. 29 Designing the guest experience today requires thinking through the entire travel process
  • 30. From check-in to check-out – one customer view across departments
  • 31. Pull media is being slowly and steadily being replaced by push media - Information, status updates, photos of your friends, cat videos, news… They come at you. They find you….And the media that don’t are hardly found at all
  • 32. 32 Driving loyalty with deep customer data
  • 33. And data transparency is a whole new idea EVERLANE Buy Less Buy Better As a business we appreciate holiday shopping but we feel the excess around Black Friday has put the focus on quantity over quality Because we want to help people consume less by creating fewer longer lasting products, we decided to shut down the site today Have a wonderful holiday and we will be back tomorrow
  • 34. IS THERE A PERFECT HOME…
  • 35. …THERE COULD BE A PERFECT HOME by analyzing data VIDEO
  • 36. WHO WANTS TO BE A MILLIONAIRRE EVEN CONSUMERS USE BIGGER DATA FOR REVENUE MAXIMIZATION LIFE LINES 50/50 – 50% Phone a Friend – 65% Poll Audience – 91%
  • 37. Data is the Voice of the Customer, Data Science is the Interpretation of that Voice
  • 38. MAKE IT WORK FOR THE PEOPLE THAT LIVE ON THE PLANET
  • 39. Data & human insight MAKES FOR A powerful combination
  • 41. See different See new See better IT IS NOT ABOUT SEEING MORE
  • 42. Like Pepsi more than Coke Believe in UFO, Check FB constantly, Small town Read Wired magazine Prefer redheads Use fake ID Have been, teacher coach or mentor Use Mac Dancer USE IPHONE TIP GENEROUSLY Use Android Be female DOG PERSON WATCH SEINFELD AND NOT X FILES Like the Cookie Monster Believe in life after death Like Pulp in your Orange juice Cross street against the light Foodie Fear dentists SPEAK MORE THAN 4 TV IS SMALLER THAN 42” If you : Then you are more likely to: Big data means – “don’t start with a hypotheses”
  • 43.
  • 44. 44 CUSTOMER CENTRICITY makes SMALL DATA meaningful
  • 45. What work arounds have people invented Do you have job that needs to be done Where do you see non consumption THERE IS as MUCH TO LEARn FROM buyers as prospects What tasks do people want to avoid What surprising uses have customers invented for existing products
  • 46. 46 SO WHAT jobs are people trying to get done while BUYING AN APARTMENT
  • 47. 47 Do you have job that needs to be done What work around have people invented What tasks do people want to avoid What surprising uses have customers invented for existing products SMALL DATA OFTEN LEADS TO INNOVATION
  • 48. 48 HOW CAN DRUNKEN DRIVING BE TO YOUR ADVANTAGE?
  • 49. 49 BY LOOKING AT DATA THAT MATTERS
  • 50. 50 AND TURN THAT IN TO REVENUE EVERY NIGHT
  • 51. AND increase THE REVENUE OF YOUR PARTNERS
  • 52. 52 YES SO WHAT IS SHOPPING? Shopping is about making decisions should I get insurance? should I buy a jacket for the interview? should I get braces? should I take that class?
  • 54. 30% 3% 6 24 AND HAS IMPACT ON REVENUES
  • 56. 56 ...IF YOU DON’T use data to provide SHOPPING ASSISTANCE
  • 57. There is no greater objective than customer obsession “To invent you have to experiment, and if you know in advance that it's going to work, it's not an experiment.” -Jeff Bezos, Amazon “We're not competitor obsessed. We start with the customer and we work backwards.”
  • 58. PERSONALIZ E IT IS ABOUT ME. WHAT CAN YOU DO FOR ME? KNOW RECOMM END
  • 59. 59 The aspiration that every retailer should have PUSHING THE LIMITS OF AVAILABLE TECHNOLOGY AND INFRASTRUCTURE IN ABSOLUTE SERVICE OF THE INDIVIDUAL CUSTOMER
  • 60. 60 Technology is not the laggard. Businesses are TECHNOLOGY HAS PROGRESSED FAR FASTER THAN BUSINESS AND MARKETING’S ABILITY TO REDEFINE ITSELF AROUND A PERSONALIZED DELIVERY Iles Pavey. Chief scientist - Dunnhumby
  • 61. Of retail executives say consumers are increasingly demanding a personalized approach to shopping online and in store -Drapers & Retail Week Personalization Report March 2016 We know it
  • 62. VIDEO
  • 63. Drive personalization data to increase consideration
  • 64. 64 Drive personalization data to increase conversion
  • 66. 66 And finally personalization to change your revenue model
  • 67. 67 Cost of device: £470 Box of 28 capsules: £22 - £29 30ml pot of serum: £16 - £20 And finally personalization to change your revenue model
  • 69. Intel Confidential – NDA use only. Eliminating friction through intelligence - real and artificial
  • 70. ONE CLICK I NO CLICK I HANDS FREE
  • 71. AND THE pain for all RETAILERS - ABANDONMENT
  • 73. Eliminate FRICTION WITH REAL TIME INTERACTIVITY
  • 74. 50 % of search queries will be speech or image by 2019 Andres Ng, Baidu 60,0 00x Visuals are processed 60,000X faster in the brain than text 3M Corporation, 2001 AND THAT INTERACTIVITY will have to be on the USER’S TERMS
  • 75. i Even banking is being driven by voice
  • 76. MISSING THIS TREND COULD HAVE BIG LONG TERM EFFECTS
  • 77. 77
  • 78. Where are you In the journey? Do you know who visited you store today? How well do you know them? Do you know why they bought? Do you know why they did not buy? NOW WHAT WILL YOU DO ABOUT IT? THIS IS THE BEGINNING OF BEING A DATA COMPANY
  • 79. In-store cameras- video analytics for revenue maximization Study the heat maps What parts of the store gets the most traffic? Are there some products that are more eye stopping that others? Did they walk past it or did they engage on the keyboard/screen? What software did they use
  • 80. WhatsApp and wechat to befriend customers Always find an excuse to get it Serve them. Don’t spam them Get to know them better Let them know when their favorite product is in-store Let them know when it is available at a lower price And through reco engines offer them products that may interest them Connect straight to commerce
  • 81. Instant Mobile display for closing the sale Past purchase record Past interest record Past interaction record Any thing interesting / specific about the person from LinkedIn I Facebook I Instagram …That allows your sales person to have an engaging conversation and SELL
  • 82. From purchase record identify their preferences / passions Game controllers  Gaming PC DSLR Camera  Hi Performance Notebook with s/w preloaded Fashionable phone covers – thin, light sexy electronics Deep personalization online. Partial personalization offline
  • 83. In-store customization Turn by Turn navigation Take me to a product Take me - Only to ‘editors picks’ - Only to highest rated products - Only to products on markdowns - Only to products that my friends have bought View in-store inventory
  • 84. Use the sales data to shelve and display Look at product reviews to ensure that “Best review” products have premium spaces/hot spots Dynamically price “Poor review products” modular architecture for revenue optimization
  • 85. Start with any category Encourage people to use the Bots before they come to the store Fun conversational style puts them at ease compared to an ad or a sales pitch Narrow the choice to 2 with BOTS Narrow the choice to 1 with the in-store sales advisor Connect straight to commerce Make choosing and buying easy with bots
  • 86. Browse at home to indicate preferences Push notifications to your phone in-store In-store recommendations points you to products that meet your need Browsing behavior should drive your supply chain decisions Time spent on pages of your web site can drive pricing decisions Buy anywhere – return anywhere Make online to offline seamless
  • 87. DATA & A.I WILL REVOLUTIONIZE MARKETING + BUSINESS TESTING, LEARNING, ACTING WILL BE REAL TIME, ALL THE TIME MAKE SHOPPING UBIQUITOUS, SEAMLESS, FRICTIONLESS SURIVIVAL HINGES ON HAVING A DATA SCIENCE MIND SET FOCUS ON PERSONALIZATION FOR REVENUE AND PROFITS summary
  • 88. Jay Walker, TEDMED “Every powerful tool has a dark side. Every last one. Anything that is going to change the world by definition has to be able to change it for the worse as well as for the better. It doesn't work one way without the other.” In closing