Machine Learning

What is TensorFlow, and How to Deploy It in an Enterprise Data Stack?

Last updated on
April 10, 2025
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What is TensorFlow?

TensorFlow is an open-source machine-learning library that provides a range of tools and libraries for building and training machine-learning models. It's can be used for a wide range of tasks including image and speech recognition, natural language processing, and more. TensorFlow is known for its large ecosystem of pre-trained models, data, and high-level APIs, which makes it easy for developers of all skill levels to build production-grade ML models.

Use cases for TensorFlow

Improve Air Traffic Control with Advanced Pattern Recognition

Detect and Mitigate Toxic Behavior in Online Gaming

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Why is TensorFlow better on Shakudo?

Why is TensorFlow better on Shakudo?

Core Shakudo Features

Own Your AI

Keep data sovereign, protect IP, and avoid vendor lock-in with infra-agnostic deployments.

Faster Time-to-Value

Pre-built templates and automated DevOps accelerate time-to-value.
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Flexible with Experts

Operating system and dedicated support ensure seamless adoption of the latest and greatest tools.

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