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The Role of Containers on MLOps and Model Production

Domino Data Lab

In order to answer this question, I’ll lean on an example from the Domino Data Science Platform. Quick background for those who aren’t familiar with Domino: it’s a platform where data scientists run their code (e.g., Domino runs on-prem or on all major clouds.

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Domino at NVIDIA GTC,  March 2023

Domino Data Lab

Domino Data Lab’s unified data science platform supports the underlying technologies that can make technologies like deep generative AI, computer vision, and IoT real for enterprises. Last October, Domino showed the industry the future of AI across the hybrid- and multi-cloud with Domino Nexus.

IoT 52
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Choosing the right Machine Learning Framework

Domino Data Lab

In this article, you will learn: How to Choose the Right ML Framework Evaluating Your Needs Parameter Optimization Scaling Training and Deployment Top Machine Learning Frameworks TensorFlow PyTorch Sci-Kit Learn H2O How Domino makes it easy to use the ML Framework that best suits your needs. How to choose the right ML Framework.

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Announcement: Domino is fully Kubernetes native

Domino Data Lab

Last week we announced that Domino is now fully Kubernetes native. With Domino, all your data science workloads get lift from k8s, automatically. This makes data scientists more efficient, saving them dev ops hassle. It also reduces IT support burden, and reduces infrastructure costs by efficiently distributing workloads.

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Florida Crystals concentrates SAP in hosting sweet spot

CIO Business Intelligence

ASR has operations across Europe and North and Central America, and sells sugar under the Domino, Redpath, Sidul and Tate & Lyle brands. One of those requirements was to move out of its hosting provider data center and into a hyperscaler’s cloud. The move to the cloud is also delivering the expected value.

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7 sins of digital transformation

CIO Business Intelligence

Business drivers for the first wave of digital transformation through 2020 targeted growth, data capabilities, cloud migration, and delivering competitive technology capabilities. But transformation initiatives require business leaders to rethink customer priorities, operations, and where technology can be a competitive game-changer.

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7 Key Roles and Responsibilities in Enterprise MLOps

Domino Data Lab

They may have expertise in specific areas, like SQL databases, cloud platforms, as well as particular distribution systems, data structures, or algorithms. This is accomplished with an Enterprise MLOps platform that simplifies and streamlines the complex data science process. Domino’s Enterprise MLOps Platform.