Sanofi opens new Framingham site amid $1.6B bet on bio-manufacturing

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Sanofi's new bio-manufacturing site in Framingham is completely digital, with all of the processes being records on tablets. Each piece of equipment has a QR code that can be scanned, allowing employees to remotely control things like temperature.

Article de Peter Gumaskas Lien

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On déménage...

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  Bien cher tous et toutes, Vous êtes nombreux à suivre nos actualités via ce blog et la newsletter qui vous est envoyée périodiquement... Pour des raisons d'efficacité et d'efficience "médiatique", nous avons décidé de poster les nouvelles actuellement publiées sur ce support sur le réseau professionnel Linkedin . Si vous voulez continuer à suivre les nouvelles réglementaires et technologiques et les activités de formation, d'audit et d'accompagnement sur vos projets GxP, n'hésitez pas (si ce n'est déjà fait) à nous suivre sur ce réseau  https://www.linkedin.com/in/jean-louis-jouve-283311/ A très vite pour des nouvelles informations... Bien cordialement Jean-Louis JOUVE  
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Five ways machine learning will transform manufacturing in 2021

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Technology advances, such as complex robotic systems and artificial intelligence (AI), transformed manufacturing over the past decade and driven what’s commonly called the Industry 4.0 Revolution. COVID-19 has further accelerated this transformation for many manufacturers as more plant operations need to be run effectively, and in many cases, be monitored and managed remotely. Machine learning (ML) — a branch of artificial intelligence centered around creating computer programs that learn from experience and improve their decision-making ability over time — is increasingly important in many industries, and manufacturing is no exception. Cheaper sensors and data storage, as well as the maturation of big data technology, has allowed manufacturers to capture vast amounts of data, and ML allows enterprises to derive actionable intelligence from said data, enabling smarter equipment, improved quality and increased productivity. As enterprises continue to use machine learning (ML) as part of...
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