Remove Business Objectives Remove Experimentation Remove Manufacturing Remove Testing
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Bringing an AI Product to Market

O'Reilly on Data

Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. Without clarity in metrics, it’s impossible to do meaningful experimentation. Ongoing monitoring of critical metrics is yet another form of experimentation.

Marketing 363
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The pandemic pivot: 5 key leadership lessons that will last

CIO Business Intelligence

The early days of the pandemic taught organizations like Avery Dennison the power of agility and experimentation. It also taught the packing materials manufacturer how to use IT to create an adaptive organization flexible enough to respond to crises and create solutions. Employee crowdsourcing can yield breakthrough ideas.

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Frugal AI: Value at Scale Without Breaking the Bank

Dataiku

The research confirmed that, even on common AI models, the process can emit more than 626,000 pounds of carbon dioxide equivalent — nearly five times the lifetime emissions of the average American car (and that includes the manufacturing of the car itself). Today, in 2022, the code (i.e.,

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Variance and significance in large-scale online services

The Unofficial Google Data Science Blog

Unlike experimentation in some other areas, LSOS experiments present a surprising challenge to statisticians — even though we operate in the realm of “big data”, the statistical uncertainty in our experiments can be substantial. We must therefore maintain statistical rigor in quantifying experimental uncertainty.