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MLOps is the short term for machine learning operations and it represents a set of practices that aim to simplify workflow processes and automate machine learning and deep learning deployments. It accomplishes the deployment and maintenance of models reliably and efficiently for production, at a large scale. MLOps is slowly evolving into an independent approach to the machine learning lifecycle that includes all steps – from data gathering to governance and monitoring.
For those outside the grocery industry, direct store delivery (DSD) is a distribution model used by manufacturers/CPGs that entails delivering products directly to retail store shelves. This model is extremely conducive for perishable food categories. During your typical grocery shopping, you may notice that store employees these days do relatively little replenishment in the aisles.
Your employees and customers are constantly on the move and rely on their mobile devices to stay connected and productive. On-demand remote support is crucial when technical issues become a roadblock in their day. With mobile device remote support, your IT team can troubleshoot problems quickly and efficiently from a tablet, computer, or smartphone.
Financial Institutions (FIs) need to respond with agility and business velocity to keep pace with changing economic conditions. Yet, emerging competition from fintechs and challenger banks and increasing customer expectations is making this task difficult, especially as regulatory and compliance requirements increase. Embracing the next phase of digital transformation is an imperative for financial institutions to sustain and grow in a competitive environment of rising cost pressures.
Kubernetes Lens is an integrated development environment (IDE) that allows users to connect and manage multiple Kubernetes clusters on Mac, Windows, and Linux platforms. It is an intuitive graphical interface that allows users to deploy and manage clusters directly from the console. It provides dashboards that display key metrics and insights into everything running on a cluster, including deployments, configurations, networking, storage, and access control.