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?
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
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