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5 Machine Learning Lessons for Product Managers

Mind the Product

Artificial intelligence (AI) is probably the biggest commercial opportunity in today’s economy. We all use AI or machine learning (ML)-driven products almost every day, and the number of these products will be growing exponentially over the next couple of years. Lesson 3: Account for Model Mistakes and Biases.

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Why Machine Learning Products Should be Managed Differently

Mind the Product

Machine learning (ML) based products have particular characteristics and challenges, from data quality to counterfactual problems and explainability. Or maybe your core product is the machine learning, making recommendations and predictions for healthcare, security, ad tech or other applications. ML Challenges.

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Artificial Intelligence for Localization: Cutting Through the Hype to Develop Our Product

The Product Coalition

Here’s our story how we’re developing a product using machine learning and neural networks to boost translation and localization Artificial intelligence and its applications are one of the most sensational topics in the IT field. There are also a lot of misconceptions surrounding the term “artificial intelligence” itself.

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The ultimate marketing technology stack for 2019

Intercom, Inc.

Known as the Martech 5000 — nicknamed after the 5,000 companies that were competing in the global marketing technology space in 2017, it’s said to be the most frequently shared slide of all time. Marketing technology is now the largest portion of total marketing budget (29% on average according to Gartner ).

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How AI is influencing product management jobs

Product Management Unpacked

According to a Brookings Institution report , “Automation and Artificial Intelligence: How machines are affecting people and places,” roughly 25 percent of U.S. The report predicts what automation does not replace, it will complement — as will be the case with many technology workers.

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Intercom on Product: How ChatGPT changed everything

Intercom, Inc.

In a recent episode, our Director of Machine Learning, Fergal Reid , shed some light on the latest breakthroughs in neural network technology. If you prompt these models with the prompt “let’s think step by step,” accuracy rates go up and you get better inputs than just having it instantly give the answer.

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Algolia’s Sarah Dayan on what sets a staff plus engineer apart

Intercom, Inc.

When you reach senior level on an engineering track, you’re expected to be optimal in your hard skill set. Despite not having a formal education in engineering, Sarah landed a job as a developer in the French consultant Grand Manitou. Then, four years ago, in 2018, she got a job at Algolia as a software engineer.