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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. What does it mean for us as product managers?

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Restoring Media Assets by Harnessing the Power of Machine Learning

Emerge Insights

Snow Leopard (2006) on my personal blog, upscaling them from their original 1920 x 1200 resolutions to 5k, likely much higher than even the original photos ever existed. The post Restoring Media Assets by Harnessing the Power of Machine Learning appeared first on EMERGE | Digital Product Agency. It made a minor splash.

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Building What Customers Need: The Ultimate Recipe

The Product Coalition

In one such instance, recalls the product manager of the social media company, the internal users of his product came up to him and said they wanted to use machine learning for automating some part of manual activity. But, in most cases, ML and AI aren’t necessary and might consume more resources.

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Upcoming Speaking Engagements

Bain Public

FITC Winnipeg 2006, Canada FITC Toronto 2006, Canada FITC Toronto 2005, Canada Flash Forward 2005, New York, U.S. Flash Forward 2008, San Francisco, U.S. FITC Toronto 2008, Canada FITC Toronto 2007, Canada Flash Belt 2007, Minneapolis, U.S. Flash Forward 2007, Boston, U.S. Flash Forward 2005, San Francisco, U.S.

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Innovate or Die: Using Technology to Avoid the Retail Graveyard

The Product Coalition

The company didn’t even offer an online shopping option until 2006, and even then, it was a “ship-to-store” only site. Human Resources From recruiting the right talent to managing payroll and work schedule, customized applications featuring new technologies like artificial intelligence are critical to business success.

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Technology Transformation – Adobe Lightroom

The Product Bistro

Lightroom (LR), or its official name, “Photoshop Lightroom” began as a public beta of a Mac only software in early 2006, was a response to Apple’s “Aperture” program targeted at professional photographers. The Origins. One example is their image processing and recognition that they run.

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CH 15: Conclusion — The Future of SaaS is the Personalized Product Experience

Aptrinsic

That’s why Facebook ignored the outrage against News Feed when it was first introduced in 2006. You can be sure that machine learning and Artificial Intelligence (AI) will enable the next generation of software companies to better predict future customer behavior and act on this data in a real-time, omnichannel, and automated way.