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Top Data Labeling Tools for Machine Learning Projects

The Product Coalition

Generating labeled training data requires a great deal of time, effort, and investment. If you’re building a machine learning model, chances are you’re going to need data labeling tools to quickly put together datasets and ensure high-quality data production. For one, it lacks key quality control features.

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Clearbit’s VP of Customer Success on turning economic headwinds into a growth opportunity

Intercom, Inc.

Unlike previous financial downturns, businesses have more access than ever to technology that can put their data to work. Clearbit , the leading marketing data engine, has reaped the rewards of automation firsthand – leveraging it for everything from identifying churn risks to closing renewals, all without human involvement.

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What we learned moving sales and product upmarket together

Intercom, Inc.

Here’s an example of how we collaborated with Product by focusing on the problems to be solved: Today we crowdsource the problems to be solved from folks on our Sales and Customer Solutions teams. We ask the team at-large to stack rank their requests using anecdotal and quantitative data from our CRM , e.g. number of deals blocked.

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Crowdtesting – all you need to know

Usersnap

Let’s look at the primary “Crowdsourcing” concept first. The collation of inputs from large groups is called crowdsourcing. Crowdsourcing happens online. According to the 2017-18 World Quality Report , 34% of organizations in the software industry have used crowdsourced solution as a way to increase testing bandwidth.

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Mixpanel Community: Top posts from 2021

Mixpanel

You can get get tips for using Mixpanel, crowdsourced Mixpanel product analytics ideas, and guidance on product updates. How to use HTTP spec to send data to Mixpanel. There are a lot of ways to get product usage data into Mixpanel, including through an HTTP request. Want the details on setting this up right?

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Amplitude on Amplitude: How We Approach Learning as a Team

Amplitude

Everyone on the team knew right away when there was new data, and they could stay aligned without ever leaving their workflow. After defining and sizing the problem, teams can think about how to design a solution with the data they’ve found, launch a new experience, and collaboratively analyze the results. Stage 2: We Ran an A/B Test.

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6 Things I Learned About PLG and Customer Success

Gainsight

Finally, for the main event, we asked the group to crowdsource a list of things that make Customer Success in the PLG world different. They need to look at adoption data as a proxy. Indeed, since Gitlab is so transparent, you can see their approach , including how they leverage Gainsight , in their online handbook. .