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Lean AI by Lomit Patel

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Chapter 3. Manual vs. Automation

More than ever, machine learning is being incorporated in one form or another into almost every level of the customer acquisition value chain, from distributing inventory more efficiently to allow advertisers to scale their decision making.  Any process that is still being done manually is likely less effective than it could be as new solutions are quickly emerging to attack inefficiencies. If you are still manually optimizing campaigns the same way it was done half a decade ago, you may be a quickly disappearing breed in the user acquisition space.

Let’s remember that machine learning is a type of artificial intelligence developed around allowing computer system to progressively improve performance on a task by “learning” through statistical approaches.  Put another way, machine learning is the development of algorithms that allow for more and more accurate prediction with incremental collection of data. That is why all major media platforms like Facebook and Google are perfectly ripe for automation because the bigger your paid customer acquisition budget the more data you can deliver into these machines to enable them to train and learn faster to help you hit your desired success goals.

The key question to ask is why are you looking to automate something? Let’s remember that the two biggest challenges for startups is hiring people and acquiring new customers. The best way to tackle these challenges is to figure out how to run a lean growth ...

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