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5 Machine Learning Lessons for Product Managers

Mind the Product

According to Crunchbase, in 2018 there were 5,000 startups relying on machine learning for their main and ancillary applications, products, and services. trillion to global GDP, “making it the biggest commercial opportunity in today’s fast changing economy”, according to a recent report by PwC.

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Coda’s Shishir Mehrotra on rethinking docs from scratch

Intercom, Inc.

How do you put a box around a product that defies categorization? How do you name an all-in-one solution for a plethora of problems, which – until now – have required individual tools? Coda’s purpose: prove that docs can be as powerful as apps – and provide an elegant solution to the problems of 2020, not 1980.

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Product Discovery Anti-Patterns Leading to Failure

The Product Coalition

The main contributing variables to various product discovery anti-patterns are: Existing organizational dysfunctions, for example, the organization is structured in functional silos, A substantial degree of ego issues among individual players?—?the software is eating the world?—?, the what-is-in-for-me-syndrome?—?resulting

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The Evolution of Modern Product Discovery

Product Talk

The days of gathering requirements from business stakeholders and documenting them in long product requirements documents are vanishing. We no longer take months or years to release value to our customers. Instead, product teams are experimenting their way to viable solutions. The Future of Product Discovery [29:42].