Whitepaper

Generate Business Value with AI Using the Production-First Approach to MLOps

Iguazio for Data Engineers

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Get my AI Application to Production

Streamline research and production

research and production are the same. write code once, no recoding. leverage the same assets in research and production without changes minimize migration code changes.

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Engineer real-time features

Transition from your batch processing model to a streaming data approach with a serverless, event-driven architecture.

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integrate with Your Ecosystem

Get up and running quickly with managed services that work right out of the box, and keep the tools you already use across your entire tech stack.

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Build an automated ML pipeline

Streamline data science production by orchestrating and automating everything from data collection and preparation to training and deployment.

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The Evolving Role of the Data Engineer

Key Features

Feature store

Share all features across your organization to save valuable time, and maintain a consistent feature set between the training and serving layer.

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Serverless Automation

Scale up on-demand, leverage realtime features, and automate each step of the machine learning pipeline with high throughput and low latency.

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Case Study

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Integrates with Your Existing Infrastructure

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Getting Started

Schedule your demo now to see how Iguazio can help you

Documentation

Access overview. tutorials, references and guides