GenAI Data Prep
Lay a Solid Data Foundation for Your Generative AI Projects With InfraNext
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.
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
Ready to Take the Next Step?
Connect With Our Cloud Experts To Begin Your Cloud Journey