Sentence examples similar to machine lifecycle from inspiring English sources

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However, industrial equipment maintenance is an expensive activity that can account for over 30%% of a facilities annual operating costs, and between 60 and 75%% of a machines lifecycle cost [6].

These systems provided mechanisms for configuring and updating jobs; predicting resource requirements; dynamically pushing configuration files to running jobs; service discovery and load balancing; auto-scaling; machine-lifecycle management; quota management and much more.

Professor Joseph Gonzalez was recently awarded the prestigious Okawa research grant to explore systems for managing the machine learning lifecycle.

Safety is a fundamental requirement of production systems considered throughout all the stages of a machine's lifecycle.

Flor is a system with a declarative DSL embedded in python for managing the workflow development phase of the machine learning lifecycle.

Therefore, this research investigated the various relationships between different stakeholders in the machine tools' lifecycle, focusing on knowledge management, communication and the decision-making processes.

Zeta Global's acquisitions have typically focused on more fundamental technologies like AI and machine learning, customer lifecycle management and other adtech related services.

With Parkes at the point, baseball has forged a working partnership with four organizations: Project A.L.S.; A.L.S. Therapy Development Institute; the A.L.S. Association; and M.D.A.'s Augie's Quest, led by Augie Nieto, a co-founder of the company that created the Lifecycle exercise machine, who is battling his own case of A.L.S.

The resort service fee of $5 a night per guest admits them to the Health and Racquet Club, which has Cybex, Nautilus and Trotter weight training machines, treadmills, Stairmasters, Lifecycles and Nordic Tracks as well as various classes -- aerobics, water aerobics, cycling -- at no extra charge, from four to around a dozen times daily.

Initial use cases for Ground include organization-wide Global Data Inventory (in collaboration with our sponsors at Capital One) and lifecycle management for machine learning models (in collaboration with the RISELab Clipper team).

Data scientists use over a dozen different tools during the lifecycle of a machine learning model.

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