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Building AI/ML Organisations

Building Impactful 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

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