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P&G enlists IoT, predictive analytics to perfect Pampers diapers

CIO Business Intelligence

The resulting platform was pilot tested for nine months at one P&G plant before being rolled out half of P&G’s Pampers manufacturing plants across the US. The project team explored several algorithms, including training neural network models, and found that the Microsoft AI Rules Engine achieved the best results,” Kietermeyer added.

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Gaining Global Insights with Multilingual Entity Linking

Ontotext

This is part of Ontotext’s AI-in-Action initiative aimed at enabling data scientists and engineers to benefit from the AI capabilities of our products. Our analysis revealed that the choice of system depends on the specific use case. English (en) BELA 0.72 English (en) BELA 0.72 IXA+MGENRE 0.79 IXA+MGENRE 0.71

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Themes and Conferences per Pacoid, Episode 12

Domino Data Lab

Secondly: some key insights discussed at Sci Foo finally clicked for me—after I’d heard them presented a few times elsewhere. If the field of data science had matured for over a decade, with tens of thousands of super-smart people flooding into highly sought data science roles, how did those kind of data blunders happen en masse?

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Data Science at The New York Times

Domino Data Lab

In the Rev session , “Data Science at The New York Times”, Chris Wiggins provided insights into how the Data Science group at The New York Times helped the newsroom and business be economically strong by developing and deploying ML solutions. For more insights from this session, watch the video or read through the transcript.