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As a Product Manager, you’re responsible for delivering products and features that both delight customers and move the company closer to its top-line metrics. However, how do you know whether the individual features you ship each sprint or each quarter are successful?

Main takeaways:
– You are the product owner or a stakeholder of a machine learning product. How can you manage and optimize the product without getting into its technical details?
– Making sure the product has the right input data available: you might have the most talented data science team in the world, but without the right fuel (ie data) their potential is limited from the start
– Choosing the right performance metrics to make sure the product is aligned with your business needs.
– Test the tests! A test-driven approach to guarantee the tests currently in place fairly reflect the business scenarios (e.g. you are not using data points not available in production)

Meet the Speaker: Gianluca Gindro

Gianluca is a hands-on leader in the Data and Analytics space, interested in data challenges with a direct impact on the overall performance of a company. Currently, he is a Data Analytics Lead at Kuoni Global Travel Services

View Speaker’s Full Profile (https://bit.ly/2BKdeht)

Product School (https://bit.ly/2OpkBgZ) is the global leader in Product Management training with a community of over one million product professionals. Our certificates are the most industry-recognized credentials by employers hiring product managers. All of our instructors are senior-level Product Managers working at top Silicon Valley companies including Google, Facebook, Netflix, Airbnb, PayPal, Uber, and Amazon.

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