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Four Key Product Management Lessons from a Product Manager at Mailchimp

Alchemer Mobile

And if I’m measuring on a specific outcome, let’s say like user growth, and an executive is measuring on a different ruler motivated by a different KPI or incentive structure, it’s really hard to reconcile those things because you’re measuring things differently. It’s an issue because you always measure yourself on your own ruler.

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Offline Experimentation in Machine Learning Teams

The Product Coalition

One of the main advantages of working in many machine learning products is the ability to simulate a scenario based on historical data by performing offline experiments. If a 10% offline increase in a KPI only translates to a 0.1% Let’s dive into it. The next step is to split the data into a training and evaluation set.

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How AI is Lowering the Barrier to Entry for BI and Analytics

Birst BI

The mainstream arrival of Artificial Intelligence (AI) brings with it the potential to finally meet the demand for actionable, enterprise-wide, fact-based decision making. Historically, business users have been presented with dashboards that describe the current state of a KPI, i.e. Net Profitability, Customer Retention, and more.

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Operationalize Getting Insights from Metrics: Tips for Product People

The Product Coalition

There are common methods for doing this, both from statistics and machine learning. A useful approach to providing clear business context is to build and maintain a KPI Tree, which is an easy-to-understand map of all the key KPIs rolled up from the lowest level to the top-line metrics (e.g.

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Product to Product: Squarespace’s Inga Chen on machine learning

Roadmunk

Product to Product will feature two product people talking about one product-specific topic— like applying machine learning to the right problems and building a healthy PM culture (and what “PM culture” is). Eleni: Can you clarify the difference between AI, machine learning, and deep learning? .

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How Can Sentiment Analysis Be Used To Improve Customer Experience in SaaS?

Userpilot

It involves using modern technology, such as artificial intelligence, machine learning, and natural language processing, to understand the emotional undertone behind a body of text. Customer sentiment is a key performance indicator (KPI) that reveals how customers feel about a brand, product, or service.

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Birst Smart Analytics: Using AI to Operationalize BI

Birst BI

A business user simply selects a KPI of interest, and machine learning algorithms run automatically across all data points that are related to generate the key reasons “why” a KPI is trending upward or downward. Birst was at the forefront of leveraging advanced automation and machine learning.