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Race for AI:
What do VCs expect from AI startups?
Dmitry Filatov @ Sistema_VC
B2B investments B2C investments
www.sistema.vc
MARKET

PRODUCT
DATA
STRATEGY
RAPID

GROWTH
MARKET

PRODUCT
We usually get
AI
as
(complex)
Technology

We need
AI
as
Product

DC Electricity Cost
Reduction 40%
Face as personal ID

Fraud prevention
Failure prediction
RAPID

GROWTH
— AI technologies quickly become
commodity


— Open Source (TensorFlow, Caffe, 

pyTorch by FB) lowers entry barriers

— Hardware gets cheaper: 

GPU, TPU by Google



— More ppl adopt
machine learning skills
50 Best Jobs in America
2016 by Glassdoor
DATA
STRATEGY
Many major
breakthroughs in the field
of Artificial Intelligence
have not been
constrained by
algorithmic advances but
by the availability of high-
quality datasets.
Boeing 787s to create half a terabyte of data per flight
Today everything is a Boeing: mobile, IoT sensor, etc.
BUT! a lot of data ≠ a lot of useful data
Public data set
— Web crawl
— DL datasets (ImageNet, COCO)
— Google datasets
— many others…
Cheap & Fast
No competitive
advantage at all
Private data set
— Licence data
— Partner with corporation
— Side business
Strong competitive
advantage
Expensive or many
limitations
— Manual labeling
— Crowdsourcing
Total ownership
Time consuming
& expensive
In house
MARKET

PRODUCT
over
TECHNOLOGY
CLEAR DATA
ACQUISITION
STRATEGY
RAPID

GROWTH
is

VITAL
SUMMARY
CONTACTS
Dmitry Filatov
d.filatov@sistema.vc
+7 915 0088507
(Mobile / Telegram / WhatsApp)

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