GenAI Data Prep

Lay a Solid Data Foundation for Your Generative AI Projects With InfraNext

Plan Your Project

Generative AI Begins With Data Strategy

In the current technology landscape, products like ChatGPT, Bard, and similar generative AI (Gen AI) solutions have captured the global imagination, promising a future where machines learn, adapt, and create on their own. However, the magic of AI doesn’t begin with the algorithms or models—it starts much earlier. Just as a house cannot be built without first laying the foundation, AI cannot function effectively without the bedrock of a solid data strategy.

As an AWS Premier Consulting Partner with both the Data and Analytics and Machine Learning Competencies, InfraNext can provide the data architecture and data engineering services that are at the root of every successful GenAI project.

Our Data Architecture for Generative AI Services

Migrate Data

Get your data into AWS so that you can begin to leverage it for your AI projects.

Design and Build Data Lakes

Set up secure and scalable data lakes quickly to store your structured and unstructured data.

Explore Data

Perform initial analyses and create visualizations to better understand your data.

Unify Data

Consolidate your data across your data lakes and data warehouses to set the stage for data scientists to pursue more advanced use cases.

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Our Data Engineering for Generative AI Services

ETL Data into Data Stores

Extract, transform, and load into your data lakes and data warehouses according to your specific needs

Integrate Data Analytics

Deliver advanced data visualization and analytics capabilities directly to end users through your applications.

Automate Data Processing

Ensure data quality through efficient processing, labeling, and organizing, then plan ahead for deeper analyses

Analyze in Real Time

Develop live analytics workloads that can keep up with big data volumes and generate insights continuously

Ensure Data Readiness for Your Generative AI Projects

Unified Data Accessibility

Integrate your relational data into a single repository to facilitate seamless access for data analysts, data scientists, and engineers to build AI algorithms.

Accelerated Data Processing

Enhance your data warehouse’s efficiency, ensuring swift SQL queries, comprehensive reporting, and advanced analytics required by data scientists building advanced AI models.

Optimized Data Reliability

Manage and categorize data based on your specific needs and use cases, guaranteeing your data’s consistency, accuracy, and readiness for your generative AI projects.

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