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Data Science

Defining AI Personalities: Buddy vs. Police

With every solution today touting AI as the holy grail, how do you know when it makes sense to incorporate AI into your strategy? Read on to learn when it makes sense to consider AI and what type is right for your business and use case.

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The CMO Framework to Evaluating Data Actionability

The modern CMO has a huge data responsibility, but how can they build a robust data strategy? We put together a framework to help CMOs understand their ability to use (and scale) their data for go-to-market initiatives. 

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Demystifying Data Science for Marketers

While infusing data science into every aspect of your business could mean the difference between surviving and thriving it’s easy to be intimidated by it. Learn exactly what it means and how it helps sales and marketing teams in this blog post.

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How to Run Airflow in a non-Python Stack

tl;dr: Please do not re-write everything in Python.

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Building a Lean AI Startup - Part 1

Staying lean as a startup developing an AI product has inherent difficulty. In this series, we'll share some practical advice on how we tried (and sometimes succeeded) to avoid them.

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Lead Quality Problems: How We Use Data and Machine Learning to Solve Them

When it comes to the lead quality problem, see how we use data and machine learning to solve it. Click and learn more.

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