Artificial Inteligence Exercises Software Engineering 
Product Talk
DECEMBER 18, 2024
I started my career as a software engineer. When I say product team, I mean product managers, designers, software engineers. They take all the opportunities they’re hearing from their interviews and they do an affinity mapping exercise where they group similar opportunities together.
The Product Coalition
JUNE 26, 2023
The AI Journey So Far The encouraging news is that most enterprises have already embarked on their artificial intelligence journey over the past decade years. For enterprises that view artificial intelligence as a cornerstone of their business strategy, the time to double down on generative AI adoption is now.
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Modus Create
APRIL 5, 2021
Now imagine running an omnichannel retail company overhauling its bottom line by providing machine learning recommendations based on time series data. The post Why I Became a Software Engineer at Modus Create appeared first on Modus Create. To run the business, the little kid needs to understand what lemonade is.
PMLesson's Ace the PM Interview
NOVEMBER 18, 2021
It is no secret that software engineering interviews are rigorous and extensive today. Nevertheless, there are some general trends you can expect in many of your software engineering interviews. Nevertheless, there are some general trends you can expect in many of your software engineering interviews.
The Product HQ
MAY 10, 2024
Today, more and more businesses are looking for product managers specializing in artificial intelligence and machine learning technologies. This is because products that incorporate artificial intelligence and machine learning technologies are complex.
Userpilot
APRIL 22, 2021
Moshe Miklanovsky, a Software Developer-turned Product Manager and a co-host of the Product-for-Product podcast , explains which technical skills are essential for Product Managers based on his 30-year career in tech. Talk with your engineering team to learn what comprises the technical stack and product architecture.
Split
FEBRUARY 10, 2022
It allows your machine learning team to train better recommendations. Exercise discretion and override the holdback when it is more expensive than interesting. That is a legitimate source of concern for the software engineers and the operational managers who will want to move on.
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