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TOMASZ TUNGUZ
REDPOINT VENTURES
TOMTUNGUZ.COM
#saastrannual
AI: The New Platform for
SaaS
434 $4B 136
Funded AUM IPO + M&A
REDPOINT: SEED,
EARLY, GROWTH
BUSINESSES
MACHINE LEARNINGthe next major platform for startups
MACHINE LEARNING IS
What is Machine Learning, really?
MACHINE
LEARNING
FINDS
PATTERNS
IN DATA
OPTIMIZEif you take 101, you’ll arrive at the Pearl 15 minutes
faster than 280
IDENTIFY OBJECTSthis photograph you took is an image of a cat
FIND ANOMALIESyour credit card bought a $10,000 piano yesterday
SEGMENTyou love to play FarmVille; you’re a whale for Zynga
THE
RECENT
BUZZ
ABOUT
ML?
COMPUTE DATA
ALGORITHM
S
DEEP LEARNING /
NEURAL NETWORKS
FEATURE
SELECTION
MODEL
TUNING
DEEP LEARNING
“AUTOMATES” BOTH
PROCESSES
Wavenet synthesizes speech from text that is
nearly indistinguishable from human speech.
September 8, 2016
Microsoft researchers reach human parity in
conversational speech recognition
October 18, 2016
Google achieves zero-shot machine translation.
November 22, 2016
COMMERCIA
LIZATION
WORKFLOW
INSURANCE
LOGISTICS
CONSTRUCTION
MEDICINE
AGRICULTURE
ML OPENS THE DOOR TO DISRUP
HUGE POTENTIAL FOR
INVESTMENT
STRATEGY
1. Proprietary access to data
2. End to end applications,
not platforms
3. Strong GTM enabled by
ML
4. Experts in the field
5. Potential algorithmic
advances
OUR MACHINE LEARNING POR
TOMASZ TUNGUZRedpoint Ventures
tomtunguz.com
AI: The New Platform for SaaS

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AI: The New Platform for SaaS

Editor's Notes

  1. 1. put into the context of it being a big wave (mobile and cloud) 2. how big can this be. examples of multibillion dollar companies the old way and the new way 3. framework for how we are going to invest end to end applications vs generic platforms proprietary access to data assume algorithms are commodity 4. remove the criminal example 5. why now. why are they working now (compute power, data access, open sourcing, new research) how much more data and how much more compute is necessary 6. share deck with steve and satish
  2. Fukoku Mutual Life Insurance Co. is planning to slash nearly 30 percent of its payment assessment department's human staff after it introduces an artificial intelligence (AI) system in January 2017 to improve operating efficiency. ニュースサイトで読む: http://mainichi.jp/english/articles/20161230/p2a/00m/0na/005000c#csidx1e5569e9c1439c7ac4c8a88c657c6b2 Copyright 毎日新聞
  3. Chorus Lilt Stripe Infer Sourcegraph Caspida RelateIq Pindrop Refresh Twilio Moog Button
  4. background material http://www.slideshare.net/perone/deep-learning-convolutional-neural-networks