Fri.Jun 22, 2018

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Machine learning isn?t as hard as it looks

Intercom, Inc.

It’s easy to believe that machine learning is hard. An arcane craft known only to a select few academics. After all, you’re teaching machines that work in ones and zeros to reach their own conclusions about the world. You’re teaching them how to think! Indeed, the majority of literature on machine learning is riddled with complex notation, formulae and superfluous language.

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The Value of Product Win/Loss Analysis

The Product Guy

Performing your own Win/Loss analysis can help you more objectively learn why your product sells, and even more important why it doesn’t sell. I’ll discuss the tactics of having there interviews, what questions to ask, and how to use the results. In a recent live stream from one of our mentors of The Product Mentor , Jordan Bergtraum, lead a conversation around “Win/Loss Analysis”.

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How to Build Products That Transform People?s Lives by Chris Hay

Mind the Product

In this ProductTank London talk, IBM iX engineer Chris Hay highlights how technology can help us truly to change the world. He speaks about his experiences of engineering innovative Kenyan payment systems such as M-Pesa and M-Shwari, and of reinventing how we manage asthma conditions using simple computing tools. The Story of M-Pesa and M-Shwari. Mobile-phone based payment system M-Pesa first launched in Kenya in 2007.

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It?s time be be better Understood #jobs

The Product Guy

If you are a great product person looking for a great product job, or vice versa, check out our job board. Thousands of employers across all areas of product, from management to design, from digital to physical, are looking to fill positions from our community. . Each week we highlight some of the recently posted openings. Check out this week’s newest, below….

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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6 questions before hiring a product manager?and other innovation observations for product managers June 22, 2018

Product Innovation Educators

Each week I scour articles, wading through the dogs, and bringing you the best insights to help product managers and innovators be heroes. Hiring a product manager? Consider these 6 questions first. (1) How large is your market? (2) How do you validate product ideas with customers? (3) How do you describe a product requirement for engineering to build?