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Tech is
Misfiring for
Art. Why?
About Me: Christina Noren
• Successful Silicon Valley Product
Executive; 3 IPOs in 20+ years
• Founding head of product for Splunk,
2012 $3+ billion big data IPO
• Founded two art tech platforms: Aura
2014; Artloop 1999-2001
• Currently CPO @ Interana; Behavioral
Analytics Leader
• Former exhibiting artist and modest
collector
20 years of Art
Platforms
$100s of
Millions
Invested
Where is
the Uber
for Art?
•That unlocks massive new
demand
•That takes the market from
elite to mainstream
•That connects any rider to
any driver
Artnet
•a place to dump your
unsold inventory
•where to pay through the
nose for hard to navigate
auction price data
Artsy
• a place to find art that will
make you seem hip &
successful that will cost a lot
less than your M Series BMW
• some cool parties
• a cheap online gallery
presence tool
1stDibs
•a really nice place for rich
people to shop for things
that will make them seem
cultured and artistic
•oh, and a few paintings and
sculptures
Electric
Objects,
Klio,
Depict
….
•Bill Gates saw it all in 1984
Artfinder,
Saatchi
Online,
PicassoMio,
…
•Won’t that look great over
your couch?
Instagram
•Reducing art to eye candy
+ online personality, one
feed at a time.
Art Doesn’t
Get Tech • A $20 million business is big
• Hi tech= slick UI
• Millennials only want to see
art online
• Database = rigid taxonomy
• Social = likes and loves
• Every brand needs an app
• Online = ads & e-commerce
Tech
REALLY
Doesn’t
Get Art
• Art = images
• Art is a luxury good
• Art is a financial investment
• Art is more elitist than music
• All art fits in agreed categories
with fixed attributes
• There is a master database of
art somewhere
And Tech
Has
Contempt
for Art
•Techies are the real
creatives of our age
•Artists are not-too-bright
makers of pretty pictures
•Art dealers are small
business people - like
florists
What Will The
Real Disruptor
Look Like?
A few
thoughts
It Will Be
Valuable to
All Art
Interested
People
• A companion for art visits
• A resource for learning and
reference
• Valuable to experts & novices
• Not focused on buying or selling
• Knows both market &
scholarship
• Building a loyal audience
It Will
Grow Its
Own Art
Database
• Not limited to listings
• Organically learns all aspects
of art through daily use in all
venues and situations
• Discovers forgotten,
unknown and hidden art
• Makes connections between
different artists and artworks
It Won’t
Dumb
Down the
Art
• User extensible model for
describing art
• Can be as superficial or deep as a
user wants to go
• Can deal with context, content,
form & sensation
• Multiple viewpoints; expert &
popular side by side
• Filtering, ranking, reputation &
context
It Will
Convert
Non-Buyers
• Leads people from what they
have seen (even in museums)
to what they can afford to buy
• Gets smart about its users’
interests & budgets way before
they buy
• Makes buying easy and fun
• Buyers will be more loyal to it
than any seller
It Won’t Be
Biased Or
Limited
• No paid listings or advertising
• Can lead any buyer to any
art:
• Represented & unrepresented
• Existing & commissioned
• For sale & passive
• Online, gallery, auction, fair &
private
What Will
It Take? • A thesis-driven deep-
pocketed investor
• A willingness to invest in
audience & content in
advance of revenues
• Knowledge to seed & curate
a workable art model
• Cutting edge data science,
social & UX technology
What Will
Its Impact
Be?
• 10s of millions of new art buyers
• Demand spreading to “long tail” of
undiscovered and forgotten art
• Reversal of trend to the image
• Creation of the largest single
global art market player ever seen
• Disruption to existing business
models

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Tech is misfiring for art. Why?

  • 1. Tech is Misfiring for Art. Why? About Me: Christina Noren • Successful Silicon Valley Product Executive; 3 IPOs in 20+ years • Founding head of product for Splunk, 2012 $3+ billion big data IPO • Founded two art tech platforms: Aura 2014; Artloop 1999-2001 • Currently CPO @ Interana; Behavioral Analytics Leader • Former exhibiting artist and modest collector
  • 2. 20 years of Art Platforms $100s of Millions Invested
  • 3. Where is the Uber for Art? •That unlocks massive new demand •That takes the market from elite to mainstream •That connects any rider to any driver
  • 4. Artnet •a place to dump your unsold inventory •where to pay through the nose for hard to navigate auction price data
  • 5. Artsy • a place to find art that will make you seem hip & successful that will cost a lot less than your M Series BMW • some cool parties • a cheap online gallery presence tool
  • 6. 1stDibs •a really nice place for rich people to shop for things that will make them seem cultured and artistic •oh, and a few paintings and sculptures
  • 9. Instagram •Reducing art to eye candy + online personality, one feed at a time.
  • 10. Art Doesn’t Get Tech • A $20 million business is big • Hi tech= slick UI • Millennials only want to see art online • Database = rigid taxonomy • Social = likes and loves • Every brand needs an app • Online = ads & e-commerce
  • 11. Tech REALLY Doesn’t Get Art • Art = images • Art is a luxury good • Art is a financial investment • Art is more elitist than music • All art fits in agreed categories with fixed attributes • There is a master database of art somewhere
  • 12. And Tech Has Contempt for Art •Techies are the real creatives of our age •Artists are not-too-bright makers of pretty pictures •Art dealers are small business people - like florists
  • 13. What Will The Real Disruptor Look Like? A few thoughts
  • 14. It Will Be Valuable to All Art Interested People • A companion for art visits • A resource for learning and reference • Valuable to experts & novices • Not focused on buying or selling • Knows both market & scholarship • Building a loyal audience
  • 15. It Will Grow Its Own Art Database • Not limited to listings • Organically learns all aspects of art through daily use in all venues and situations • Discovers forgotten, unknown and hidden art • Makes connections between different artists and artworks
  • 16. It Won’t Dumb Down the Art • User extensible model for describing art • Can be as superficial or deep as a user wants to go • Can deal with context, content, form & sensation • Multiple viewpoints; expert & popular side by side • Filtering, ranking, reputation & context
  • 17. It Will Convert Non-Buyers • Leads people from what they have seen (even in museums) to what they can afford to buy • Gets smart about its users’ interests & budgets way before they buy • Makes buying easy and fun • Buyers will be more loyal to it than any seller
  • 18. It Won’t Be Biased Or Limited • No paid listings or advertising • Can lead any buyer to any art: • Represented & unrepresented • Existing & commissioned • For sale & passive • Online, gallery, auction, fair & private
  • 19. What Will It Take? • A thesis-driven deep- pocketed investor • A willingness to invest in audience & content in advance of revenues • Knowledge to seed & curate a workable art model • Cutting edge data science, social & UX technology
  • 20. What Will Its Impact Be? • 10s of millions of new art buyers • Demand spreading to “long tail” of undiscovered and forgotten art • Reversal of trend to the image • Creation of the largest single global art market player ever seen • Disruption to existing business models