ML Platformization in the Enterprise - Madrid Machine Learning
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ML Platformization in the Enterprise image: Irina Petrova’s blog http://irina-petrova.blogspot.com.es/2010/06/70s-fever.html
Machine Learning
a Business Perspective
ML Platformization in the Enterprise
image: Irina Petrova’s blog http://irina-petrova.blogspot.com.es/2010/06/70s-fever.html
Jensen Huang, CEO of Nvidia, May 2017
1
Follow the Money:
Venture Capital and M&A
Machine Learning
1 Industry
Update
Follow the Money:
Venture Capital and M&A
The M&A race for AI By number of deals, quarterly
The M&A race for AI
By number of deals, quarterly
200+ 30+ 1
Acquisitions M&A deals in Acquisiti
since 2012 Q1’17 Goog
Google is the most active acquirer of AI startups, having acquired 11
startups since 2012. Apple, which has been ramping up its M&A effo
ranked second with 7 acquisitions under its belt. Newer entrants in t
race include Ford, which acquired Argo AI for $1B in Q1’17, cybersec
company Sophos, and Amazon.
https://www.cbinsights.com/blog/top-acquirers-ai-startups-ma-timeline/ www.cbinsightThe M&A race for AI
By number of deals, quarterly
200+ 30+ 1
Acquisitions M&A deals in Acquisiti
since 2012 Q1’17 Goog
Google is the most active acquirer of AI startups, having acquired 11
startups since 2012. Apple, which has been ramping up its M&A effo
ranked second with 7 acquisitions under its belt. Newer entrants in t
race include Ford, which acquired Argo AI for $1B in Q1’17, cybersec
company Sophos, and Amazon.
US leading the pack: 4-5X
investment vs other https://www.cbinsights.com/blog/top-acquirers-ai-startups-ma-timeline/ www.cbinsightUS funding in AI source: PwC - CB Insights MoneyTree report Q1 - 2018
2
Crossing the chasm, beyond hypeMachine Learning
2 Adoption
Crossing the chasm, beyond hypeWatch out! Hype ahead
Emerging
Beyond the Hype: Technology Trends
Platform Revolution, the Great Enterprise Pivot
expectations Platform
Revolution
Transparently
Immersive
Experiences
Perceptual
Smart
Machine Age
Peak of Plateau of
Innovation Trigger Slope of Enlightenment
Trough of Disillusionment Productivity
Inflated Expectations
time
#GartnerSYM
17 CONFIDENTIAL AND PROPRIETARY | © 2015 Gartner, Inc. and/or its affiliates. All rights reserved. Gartner and ITxpo are registered trademarks of Gartner, Inc. or it's affiliates.Watch out! Hype ahead
Emerging
Beyond the Hype: Technology Trends
Platform Revolution, the Great Enterprise Pivot
expectations Platform first movers
Revolution
advantage
Transparently
Immersive
Experiences
Perceptual
Smart
Machine Age
Peak of Plateau of
Innovation Trigger Slope of Enlightenment
Trough of Disillusionment Productivity
Inflated Expectations
time
#GartnerSYM
17 CONFIDENTIAL AND PROPRIETARY | © 2015 Gartner, Inc. and/or its affiliates. All rights reserved. Gartner and ITxpo are registered trademarks of Gartner, Inc. or it's affiliates.Watch out! Hype ahead
Emerging
Beyond the Hype: Technology Trends
Platform Revolution, the Great Enterprise Pivot
expectations Platform first movers
Revolution
advantage
Transparently
Immersive
Experiences
Perceptual
Smart mainstream
Machine Age adoption
Peak of Plateau of
Innovation Trigger Slope of Enlightenment
Trough of Disillusionment Productivity
Inflated Expectations
time
#GartnerSYM
17 CONFIDENTIAL AND PROPRIETARY | © 2015 Gartner, Inc. and/or its affiliates. All rights reserved. Gartner and ITxpo are registered trademarks of Gartner, Inc. or it's affiliates.Adoption Cycle: AI & Machine Learning
Toward mainstream adoption, crossing the chasm
20% firms report use of
AI-ML related technology
at scale or in a core part
of their businesses
Source: McKinsey Global Institute, Discussion paper: survey 3,000 AI-aware C-level executives, across 10 countries and 14 sectorsEnterprise Adoption
by Profit Margin
Those with a
proactive AI &
ML strategy
enjoy higher
margins3
Machine Learning:
the ultimate optimization toolPlatformization
3 in the
Enterprise
Machine Learning:
the ultimate optimization toolThe Great Pivot - ML platform revolution
Andrew Ng · Former Google Brain & Baidu AI head · Advice for AI & ML adoption in the Enterprise
source: EMTECH nov 7th, 2017: The State of AI · https://www.youtube.com/watch?v=NKpuX_yzdYsThe Great Pivot - ML platform revolution
Andrew Ng · Former Google Brain & Baidu AI head · Advice for AI & ML adoption in the Enterprise
AI team
AI & ML
platform
cross-
business
source: EMTECH nov 7th, 2017: The State of AI · https://www.youtube.com/watch?v=NKpuX_yzdYsThe Great Pivot - ML platform revolution
Systems of Intelligence/ML drive efficiencies · 1st · competitive advantages · 2nd · and next
defensible business models ultimately
source: Jerry Chen - Greylock Partners
https://news.greylock.com/the-new-moats-53f61aeac2d9The Great Pivot - Systems of Intelligence
vs Systems of Record
source: Clement Vouillon · Point Nine Capital
https://medium.com/point-nine-news/system-of-records-part-1-evolution-and-challenges-1b1e700597e8The Great Pivot - Systems of Intelligence
vs Systems of Record
source: Clement Vouillon · Point Nine Capital
https://medium.com/point-nine-news/system-of-records-part-1-evolution-and-challenges-1b1e700597e84
The Enterprise Journey into MLMachine Learning
4 Enterprise Roadmap
The Enterprise Journey into MLMachine Learning Drivers
Enterprise components
01
04 02
Value
Creation
04 03Machine Learning Drivers
Enterprise components
Data
40 trillion Gb in 2K20
01
04 02
Value
Creation
04 03Machine Learning Drivers
Enterprise components
Data
40 trillion Gb in 2K20
01
Hardware
04 02 Cloud, Servers, GPUs
Value
Creation
04 03Machine Learning Drivers
Enterprise components
Data
40 trillion Gb in 2K20
01
Hardware
04 02 Cloud, Servers, GPUs
Value
Creation
04 03
Algorithms
50+ years of R&DMachine Learning Drivers
Enterprise components
Data
40 trillion Gb in 2K20
01
Hardware
04 02 Cloud, Servers, GPUs
Value
Creation
04 03
ML platforms Algorithms
APIs, MLaaS 50+ years of R&DMachine Learning Drivers
Enterprise components
Data
40 trillion Gb in 2K20
01
Expertise Hardware
skilled humans 04 02 Cloud, Servers, GPUs
Value
Creation
04 03
ML platforms Algorithms
APIs, MLaaS 50+ years of R&DEnterprise Roadmap for AI & ML
Enterprise Roadmap for AI & ML Internal & External
Enterprise Roadmap for AI & ML Internal & External ML modeling, heuristics
Enterprise Roadmap for AI & ML Internal & AI assets: External ML platform ML modeling, heuristics
Enterprise Roadmap for AI & ML
AI assets: AI assets:
Internal &
ML platform skills/expertise
External
ML modeling,
heuristicsEnterprise Roadmap for AI & ML
AI assets: AI assets:
Internal &
ML platform skills/expertise
External
ML Adoption
ML modeling, cross-function
heuristicsWord of advice · Why ML Avoiding the ‘Kodak’ moment
BlackBerry vs Apple
Groundhog day…
BlackBerry: historical revenue
New Innovation
Profits
Incumbent
Shareholder
Returns
this is me, I was thereBlackBerry vs Apple
Groundhog day…
BlackBerry: historical revenue
$20 Bn peak
revenues New Innovation
Profits
Incumbent
Shareholder
Returns
this is me, I was thereBlackBerry vs Apple
Groundhog day…
BlackBerry: historical revenue
iPhone launch $20 Bn peak
revenues New Innovation
Profits
Incumbent
Shareholder
Returns
this is me, I was therehttps://www.youtube.com/watch?v=UXd0EDy7aTY
Early Stage & Start-Up VC practitioner
Naiss.io - [un]VC boutique in Palo Alto
Mentor, Advisor
Singularity University Ventures & Berkeley’s
Center for Entrepreneurship & Technology
Investor, Advisor & Board Director
Board Director at Arowana International, a publicly
listed fund management company (ASX:AWN)
Board Director & Investor at BigML Inc - MLaaS
Machine Learning as a Service Enterprise
platform
Advisor · EIR at OptimizingMind: DL Deep
Learning - xAI (Explainable Artificial Intelligence)
YPO Global One - Young Presidents Organization
Former EVP in the mobile industry (BlackBerry &
Nokia)
Engineer - MEEE /GSMP/GELP
@efernandez ed@naiss.io #:+15614104388You can also read
