Building AI/ML Organisations

Imagine AI/ML becoming as ubiquitous as electricity. Taking this metaphor further, as electric cars are going viral, what can disrupt them? In the long future, what can disrupt AI/ML?

Etsy moved AI to cloud

1. Running experiments with AI/ML

2. On your own infrastructure or cloud?

3. How long does it take? aka Speed of innovation

4. Reduced number of servers from 3000 to few hundred.

5. Moving to cloud freed up 75 infrastructure engineers.

How Etsy uses ML for searches. Their extreme challenge is the unstructured and no SKU.

Ebay's Cassini project. Structured data initiative

Get the first page right aka make a good first impression.

Top tier conferences KDD, NIPS, ICML, ICLR, CVPR, ICCV, WWW, WSDM, SIGIR

Book recommendations

Learning from Data by Yaser Abu-Mostafa

Possible minds: Twenty-Five Ways of Looking at AI by John Brockman

High output management by Andy Grove

edge.org

Comments

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Farm to Table technology

If you are a company that selling edible food that needs to stay at a temperature and cross borders then you need a carrier that not only transports but also does it timely.

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