
A little over a year ago, we published a list of generative AI use cases that has since grown to include more than 600 examples of how organizations are putting AI to work. Yet for many developers and business leaders, inspiration has given way to a more practical question: where do I start?
To help, we’ve created a technical complement to our most impactful, customer-inspired use cases. This guide contains 101 architectural blueprints as illustrative starting points to give you a practical foundation for your next project.
Each blueprint shows a design pattern and a corresponding Google Cloud tech stack to solve real-world challenges, from automating document summarization and forecasting sales, to improving patient outcomes and preventing fraud.
Let’s dive in.
The list is organized by 10 major industry groups.
Source Credit: https://cloud.google.com/blog/products/ai-machine-learning/real-world-gen-ai-use-cases-with-technical-blueprints/