“Support is still that last sort of place where you wind up having to scale the total number of people in your support system and support operations by the number of incoming tickets.”
quote is from the automated transcript, cleaned for reading:
filler sounds and stutters are removed, nothing is rephrased. names can be misheard
(the analysis reads context, assessments check outside sources). how →
More from Josh Bloom
Insight
Bloom: Very few data science teams prioritize model explainability
“Explainability or interpretability turned out to be a very, very important optimization that very few data science teams will be cognizant of unless they're really thinking about it.”
Josh BloomNov 23, 2015▶ 8:47Machine Learning in Production with Josh Bloom, Co-founder Wise.io
AssertionSupported
Bloom: Netflix couldn't deploy its $1M prize algorithm due to complexity
“They paid a million dollar bounty, and they wound up looking at the code, and there were hundreds of separate models that were then boosted together, and they said there's no way we can do it.”
Josh BloomNov 23, 2015▶ 10:28Machine Learning in Production with Josh Bloom, Co-founder Wise.io
AssertionSupported
Bloom: 95% of production machine learning code is just glue code
“Algorithms are important, but 95% of all machine learning code in production is actually just glue code. It's connecting all of these different pieces together.”
Josh BloomNov 23, 2015▶ 11:55Machine Learning in Production with Josh Bloom, Co-founder Wise.io
AssertionNot checkable as stated
Wise.io's ML automatically resolves 5% to 20% of support tickets
“Over time, the system becomes so confident in some fraction of the answers, Five to 10 to 20%. It can basically just answer them without any humans on our client side actually looking at it, and those tickets get solved and people are satisfied.”
Josh BloomNov 23, 2015▶ 23:03Machine Learning in Production with Josh Bloom, Co-founder Wise.io
Disclosure
Wise.io chose managed cloud services over building infrastructure in-house
“So we made, as a young startup, the decision that if there was a managed service around what we needed to do to get something into production, and we're at the millions of predictions level a month over dozens of customers now, we were just going to, we were j…”
Josh BloomNov 23, 2015▶ 4:09Machine Learning in Production with Josh Bloom, Co-founder Wise.io
Insight
Bloom: ML platform decisions must center on production and maintenance costs
“The other ones that I think are critical when making those decisions about which platforms to use and implement within your own organizations is, what is that cost and time to actually put this into production? And then once you put it into production, what is…”
Josh BloomNov 23, 2015▶ 13:07Machine Learning in Production with Josh Bloom, Co-founder Wise.io
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