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Chiquitas Correo 11 de junio 2021 | Chismes política | último de la política peruana | CHIQUITAS

Chiquitas Correo 11 de junio 2021 | Chismes política | último de la política peruana | CHIQUITAS
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Take Five: A Wistful Appeal From Nnenna Freelon, and an Unearthed Gem by Roy Hargrove and Mulgrew Miller

2 of 5    Roy Hargrove 3 of 5    Josh Johnson 4 of 5    Hays Street Hart 5 of 5    Dahveed Behroozi Nnenna Freelon, Time In a Bottle On Time Traveler, her first album in more than a decade, Nnenna Freelon considers the passage of time through the prism of personal loss. The album is a tribute to the memory of her husband of 40 years, noted architect Phil Freelon, who died in 2019. Among the more emotional expressions on the album is this cover of Time in a Bottle, a posthumous No. 1 hit for singer-songwriter Jim Croce. With a sharp band arrangement by her pianist, Miki Hayama, Freelon brings depth and drama to her interpretation of the song  especially on the yearning chorus: But there never seems to be enough time / To do the things you want to do, once you find them.

AWS Announces General Availability of Amazon Lookout for Equipment

AWS Announces General Availability of Amazon Lookout for Equipment
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AWS Announces General Availability of Amazon Lookout for Equipment – Consumer Electronics Net

2 days ago Amazon Lookout for Equipment enables industrial customers to use machine learning to fully leverage their investment in equipment sensors to perform large-scale predictive maintenance across all of their industrial sites Siemens Energy, Cepsa, Embassy of Things, RoviSys, Seeq, and TensorIoT among customers and partners using Lookout for Equipment SEATTLE–(BUSINESS WIRE)–Today, Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), announced the general availability of Amazon Lookout for Equipment, a new service that uses AWS-developed machine learning models to help customers perform predictive maintenance on the equipment in their facilities. Amazon Lookout for Equipment ingests sensor data from a customer’s industrial equipment (e.g. pressure, flow rate, RPMs, temperature, and power), and then it trains a unique machine learning model to accurately predict early warning signs of machine failure or suboptimal

AWS Announces General Availability of Amazon Lookout for Equipment

AWS Announces General Availability of Amazon Lookout for Equipment
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