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Wise.io

7 statements across 1 episodes · 5 bullish · 0 bearish · 1 people on the record · first statement Nov 23, 2015 by Josh Bloom · said 5 times in 2 episodes since 2015 · across every show →

Mentions by year

brought up most by Josh Bloom (4), Matt Turck (1)

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2020 1 mention in 1 episode
2015 4 mentions in 1 episode

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Everything said about Wise.io, oldest first

Nov 23, 2015 positive
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 Bloom Nov 23, 2015 ▶ 4:09 Machine Learning in Production with Josh Bloom, Co-founder Wise.io
Nov 23, 2015 positive
Disclosure
Wise.io chose customer success as its first target for ML automation
“In an industry, the place where we wound up landing is in customer success.”
Josh Bloom Nov 23, 2015 ▶ 2:51 Machine Learning in Production with Josh Bloom, Co-founder Wise.io
Nov 23, 2015
Insight
Bloom: Support headcount still scales linearly with incoming ticket volume
“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.”
Josh Bloom Nov 23, 2015 ▶ 22:02 Machine Learning in Production with Josh Bloom, Co-founder Wise.io
Nov 23, 2015
Assertion Supported
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 Bloom Nov 23, 2015 ▶ 11:55 Machine Learning in Production with Josh Bloom, Co-founder Wise.io
Nov 23, 2015 positive
Assertion Not 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 Bloom Nov 23, 2015 ▶ 23:03 Machine Learning in Production with Josh Bloom, Co-founder Wise.io
Nov 23, 2015 positive
Assertion Not checkable as stated
Wise.io serves millions of monthly predictions across dozens of customers
“And we're at the millions of predictions level a month over dozens of customers now”
Josh Bloom Nov 23, 2015 ▶ 4:09 Machine Learning in Production with Josh Bloom, Co-founder Wise.io
Nov 23, 2015 positive
Disclosure
Wise.io uses agent acceptance and rejection of suggestions as model feedback
“What we do in Wise is we give, essentially, the agents the ability to take our suggestions for how to answer a support ticket, and if they don't, then that becomes feedback for us, and if they do, that also becomes feedback.”
Josh Bloom Nov 23, 2015 ▶ 15:44 Machine Learning in Production with Josh Bloom, Co-founder Wise.io
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