Nathan Benaich | Playfair Capital
The evolving AI marketplace: from startups to the giants
AI: what we’re talking about and how best to use it
Today’s marketplace for AI-driven software products
How is the ecosystem changing?
Discussion with the founders of Ravelin, Gluru and Seldon
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Nathan benaich The evolving AI marketplace: from startups to the giants
1. The evolving AI marketplace:
from startups to the giants
Nathan Benaich | Playfair Capital
2. Outline of today’s session
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1. AI: what we’re talking about and how best to use it
1. Today’s marketplace for AI-driven software products
1. How is the ecosystem changing?
1. Discussion with the founders of Ravelin, Gluru and Seldon
3. A suite of technologies enabling machines to perform complex tasks by
observing, understanding and learning from data, automatically.
Three steps to intelligence:
- Narrow: crafted for a specific task in a single domain (e.g. classification).
- General: learning models that are flexible to multiple tasks and domains.
- Superintelligence: recapitulate and outperform human cognitive abilities.
AI: what are we talking about here?
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4. Choosing the right approach for the task at hand
1. What’s the task?
regression classification clustering text/image/video/speech
processing +
understanding
2. Which technology to use?
Computer vision, natural language processing, machine learning, deep learning...
3. Training approach depends on data: (un)supervised or reinforcement learning
4. Deployment: open source, SaaS, public or private cloud, on-premise
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5. A growing list of enterprise use cases
Retail finance Fraud prevention Network security
Hardware
Sales &
marketing
Data analytics Text analysis
Many more
to come!
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6. Not a week goes by without AI making the news
+150% YoY
@nathanbenaichSource: CB Insights
7. From the big boys: AI has to be a core competency
“ML is a core, transformative
way by which we’re rethinking
how we’re doing everything.”
Sundar Pichai, Google
“We need to make AI be so
completely part of our engineering
fabric that you take it for granted.”
Joaquin Candela, Facebook
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8. $300m
And they’re paying up to win the race: $2.5bn in 18 months
$250m
~$55m
$350m
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$680m
$800m
9. Software as a service and open sourcing picks up a pace
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+250% YoY
11. Procuring software from startups: where to look?
Data providers Investors Accelerators Online communities
Events
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A powerful last resort...
I’m Nathan Benaich, Partner at Playfair Capital, early stage investing in technology companies solving complex problems using data and design.
25% of our portfolio is in AI
We organised and carefully curated the programme today.