Organised by Product School
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This will be an informal chat about what it's like to use ML for a company. It'll cover the different ways they can be implemented within an organization and we'll also touch on some of the misconceptions that come with using ML.
Main takeaways:
-Do not start with ML. Start with the customer problem and be thoroughly sure that ML is the most efficient way to solve the customer problem.
-Create strong acceptance criteria right in the beginning. But, build to be iterative.
-Strive to build interpretability into ML products. As a product manager, you need to sell ML products to leadership and stakeholders.
Meet the Speaker: Harini Rajagopalan
Harini is a self-starter with a strong history of experience leading within tech start-ups and scale-ups. She is currently working on Product Management at Amazon.
View Speaker's Full Profile (https://bit.ly/3wIRV6b)
The content of this event is for educational purposes only and does not include any specific facts of the presenter’s current or previous company. The opinions expressed in this event are solely those of the presenter based on personal experiences and do not reflect those of the company the presenter works for.
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Product School (http://bit.ly/2TqhCZ1) 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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