Personal Information
Organização/Local de trabalho
London, United Kingdom United Kingdom
Cargo
Founder & CEO at Seldon
Setor
Technology / Software / Internet
Site
seldon.io
Sobre
At Seldon, our mission is to help people predict and shape the future with machine learning.
Our enterprise-grade ML deployment platform enables organisations to deploy AI/ML predictive models faster and solve their most important challenges at scale – e.g. fraud detection, credit risk and high-frequency trading. It works seamlessly with the tools that data science teams already use to help them move from small-scale R&D to large-scale production with new capabilities around infrastructure, collaboration and compliance.
Marcadores
machine learning
open source
seldon
ai
location
rummble
predictive analytics
ml
droidcon
lbs
gis
geo
sdk
api
cogx
cogx2021
london futurists
sustainability
odsc
tensorflow
artificial intelligence
ds_ldn
microservices
papis2015
machinelearning
opensource
droidconuk
android
2010
droidconuk
andoid
iphone
hotspots
mashupbla
being
aware
mashup
social
mobile
total
Ver mais
Apresentações
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(9)Just add points? What UX can (and cannot) learn from games
Sebastian Deterding
•
Há 13 anos
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Gary Gale
•
Há 14 anos
Russell Buckley - AdMob / MobHappy
Mobile Monday Amsterdam
•
Há 15 anos
Rummble Geomob
Andrew Scott
•
Há 15 anos
The Micro-Sociology of Networks
David Armano
•
Há 15 anos
Startup Metrics for Pirates (FOWA/Miami, Feb 2009)
Dave McClure
•
Há 15 anos
Huddle.net - Hiring a Team of Peers
Andy McLoughlin
•
Há 15 anos
Geek n Rolla: WReeve Bootstrapping, Scaling and Cashflow
wreeve
•
Há 15 anos
Location Context Awareness
Piyush Gupta
•
Há 15 anos
Personal Information
Organização/Local de trabalho
London, United Kingdom United Kingdom
Cargo
Founder & CEO at Seldon
Setor
Technology / Software / Internet
Site
seldon.io
Sobre
At Seldon, our mission is to help people predict and shape the future with machine learning.
Our enterprise-grade ML deployment platform enables organisations to deploy AI/ML predictive models faster and solve their most important challenges at scale – e.g. fraud detection, credit risk and high-frequency trading. It works seamlessly with the tools that data science teams already use to help them move from small-scale R&D to large-scale production with new capabilities around infrastructure, collaboration and compliance.
Marcadores
machine learning
open source
seldon
ai
location
rummble
predictive analytics
ml
droidcon
lbs
gis
geo
sdk
api
cogx
cogx2021
london futurists
sustainability
odsc
tensorflow
artificial intelligence
ds_ldn
microservices
papis2015
machinelearning
opensource
droidconuk
android
2010
droidconuk
andoid
iphone
hotspots
mashupbla
being
aware
mashup
social
mobile
total
Ver mais