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Mar 4, 2018
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Lift Igniter
Learn how Adam and the team at LiftIgniter are bringing innovations from Google to the rest of the business world. Google, whose main revenue come from ads, has developed arguably the world’s most sophisticated machine l...
About This Episode
Lift Igniter is an episode from Pattern ML by Neil Batlivala. Learn how Adam and the team at LiftIgniter are bringing innovations from Google to the rest of the business world. Google, whose main revenue come from ads, has developed arguabl...
Podcast
This episode belongs to Pattern ML.
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Episode Details
Published Aug 20, 2017, 00:22:03 long, audio available.
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Questions About This Episode
What is Lift Igniter about?
Learn how Adam and the team at LiftIgniter are bringing innovations from Google to the rest of the business world. Google, whose main revenue come from ads, has developed arguably the world’s most sophisticated machine learning for ad targeting. Lift Igniter is taking similar concepts and creating a bleeding edge personalization engine that ups user engagement across the board.
Where can I listen to Lift Igniter?
You can listen to Lift Igniter online on Radio and Podcast. Open the player on this page to stream the available audio.
Which podcast is Lift Igniter from?
Lift Igniter is an episode from Pattern ML by Neil Batlivala.
How long is this episode?
This episode is 00:22:03 long.
When was this episode published?
This episode was published on Aug 20, 2017.
Can I save Lift Igniter for later?
Yes. Use the heart button on the episode page to add it to your favorite episodes list.
Are there related episodes from Pattern ML?
Yes. This page shows related episodes from Pattern ML when more episodes are available from the podcast feed.
Quick Answers About This Episode
Where can I listen to Lift Igniter?
You can listen to Lift Igniter on this page when the episode audio is available from the podcast feed.
Which podcast is this episode from?
Lift Igniter is from Pattern ML by Neil Batlivala.
What are the episode details?
Published Aug 20, 2017 and 00:22:03 long