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Hi, Yes the deal sizes are mid 6 figures or larger. We have a larger deal pipeline than that though. A lot more to come :). Red hat/oracle style on premise (

Hi, Yes the deal sizes are mid 6 figures or larger. We have a larger deal pipeline than that though. A lot more to come :). Red hat/oracle style on premise (non saas) business model. We usually target NON computer vison applications like fraud, preventative maintenance in data centers (predicting broken machines) and other mission critical applications. One example: http://insights.ubuntu.com/2016/04/25/making-deep-learning-accessible-on-openstack/ http://insights.ubuntu.com/2016/04/25/making-deep-learning-a... This kind of stuff is a swear word on hacker news but there's actually money in it. Fire away if you have specific questions though :).

harigov 10y ago
What sort of value add do you provide on top of what the open source frameworks provide?
- agibsonccc 10y ago
  Main thing is production deployment software and a service level agreement for models we build. In machine learning in production there are 2 phases: training and inference (usage) In training we have spark docker images where you can run cuda right from spark submit. In inference mode we sit on top of DC/OS by mesosphere embedding lightbend's (they created scala) micrsoservices technology conductr to scale out automatically on a mesos based cluster: http://www.slideshare.net/agibsonccc/deep-learning-in-production-with-the-best-66381424 http://www.slideshare.net/agibsonccc/deep-learning-in-produc... Here is more on our enterprise distribution SKIL: http://www.slideshare.net/agibsonccc/skil-dl4j-in-the-wild-meetup http://www.slideshare.net/agibsonccc/skil-dl4j-in-the-wild-m... If you're curious where the talent is, I cowrote the flagship oreilly book on deeplearning: http://shop.oreilly.com/product/0636920035343.do http://shop.oreilly.com/product/0636920035343.do We also employ deep learning phds doing everything from deep learning research in health care, ex nvidia, ex cloudera among others.
maxpupmax 10y ago
What's your strategy to source relatively large deals like that? In general terms. Are you cold calling? conferences? Is it from online advertising? offline? referrals?
- agibsonccc 10y ago
  Channels based sales and lead gen from conferences.

harigov 10y ago

What sort of value add do you provide on top of what the open source frameworks provide?

agibsonccc 10y ago
Main thing is production deployment software and a service level agreement for models we build. In machine learning in production there are 2 phases: training and inference (usage) In training we have spark docker images where you can run cuda right from spark submit. In inference mode we sit on top of DC/OS by mesosphere embedding lightbend's (they created scala) micrsoservices technology conductr to scale out automatically on a mesos based cluster: http://www.slideshare.net/agibsonccc/deep-learning-in-production-with-the-best-66381424 http://www.slideshare.net/agibsonccc/deep-learning-in-produc... Here is more on our enterprise distribution SKIL: http://www.slideshare.net/agibsonccc/skil-dl4j-in-the-wild-meetup http://www.slideshare.net/agibsonccc/skil-dl4j-in-the-wild-m... If you're curious where the talent is, I cowrote the flagship oreilly book on deeplearning: http://shop.oreilly.com/product/0636920035343.do http://shop.oreilly.com/product/0636920035343.do We also employ deep learning phds doing everything from deep learning research in health care, ex nvidia, ex cloudera among others.

maxpupmax 10y ago

What's your strategy to source relatively large deals like that? In general terms. Are you cold calling? conferences? Is it from online advertising? offline? referrals?

agibsonccc 10y ago
Channels based sales and lead gen from conferences.