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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.

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Data Science Tools: Understanding the Multiverse

Domino Data Lab

As new team members with varying backgrounds are added, as new sources of data are made available from different platforms, or new deliverables are required from stakeholders, allegiance to a specific camp becomes counterproductive. Hadoop) and cloud databases (e.g. Data Science Tools: Integration in a Enterprise MLOps Platform.

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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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Domino Paves the Way for the Future of Enterprise Data Science with Latest Release

Domino Data Lab

Today, we announced the latest release of Domino’s data science platform which represents a big step forward for enterprise data science teams. I’m also proud to announce an exciting new product: Domino Model Monitor (DMM). We invite you to join one of our upcoming webinars on Domino 4.2 Github, Bitbucket, Gitlab).

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The DataOps Vendor Landscape, 2021

DataKitchen

DataKitchen – DataKitchen’s “single-pane-of-glass” DataOps Platform creates order out of chaos by flexibly orchestrating all of your analytic pipelines and their components, allowing your teams to work faster and collaborate more effectively. . 100% of your DataOps needs in one end-to-end platform. Telm.ai — Telm.ai

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Accelerating model velocity through Snowflake Java UDF integration

Domino Data Lab

This is the core functionality of the Domino’s Enterprise MLOps platform – a system that enables fast, reproducible, and collaborative work on data products like models, dashboards, and data pipelines. Both platforms are cloud agnostic so they can run in Azure, GCP, and AWS. Connecting to Snowflake from Domino.