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

CIO Business Intelligence

That’s when P&G decided to put data to work to improve its diaper-making business. Data-driven diaper analysis During the diaper-making process, hot glue stream is released from an automated solenoid valve in a highly precise manner to ensure the layers of the diaper congeal properly.

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Disinformation Research with @lucas_a_meyer: TDI 21

Data Science 101

. “In general, the most common use of the work I do is to remove bad stuff from the Internet or tag it as suspicious.” How did your career lead you to become a researcher in the AI and LLM space? My data sources are usually news, logs and web documents. So you use a lot of the Azure tools in your job?

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Conversational AI: Design & Build a Contextual Assistant – Part 2

CDW Research Hub

I n the first part of this series, we introduced the different maturity levels of conversational AI and started building a travel assistant using Rasa. While this is pretty exciting, training the NLU model to identity generic entities like location is a time-consuming process that requires a lot of data. language: en.

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Themes and Conferences per Pacoid, Episode 12

Domino Data Lab

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. Introduction. Ever heard of it before?

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Data Science at The New York Times

Domino Data Lab

Chris Wiggins , Chief Data Scientist at The New York Times, presented “Data Science at the New York Times” at Rev. Wiggins advised that data scientists ingest business problems, re-frame them as ML tasks, execute on the ML tasks, and then clearly and concisely communicate the results back to the organization.