The AI revolution is here, but why do so many teams struggle to bring AI products to market efficiently? Traditional software engineering principles fall short in AI development, where workflows are tangled, inference is expensive, and scaling is chaotic.
At Union, we’ve lived these challenges firsthand and developed the guidance and frameworks to help you build exceptional compound AI systems that scale.
This ebook is your blueprint, whether you’re a CTO striving for scalable AI systems, an engineering leader balancing speed and cost, or a founder looking to turn AI vision into reality.
What You’ll Learn in This eBook
- Why AI product development is fundamentally different from traditional software engineering
- How AI workflow and inference platforms streamline development, deployment, and scaling
- The top 5 challenges AI teams face—and how to solve them
- Common AI use cases for enterprise teams, from model training to real-time inference
- A framework for evaluating AI platforms to accelerate product development
If your AI projects are bogged down by runaway costs, inefficiencies, or slow iteration cycles, you’re not alone. Learn how to build AI-first systems that scale—and get ahead of the competition.
Read the ebook today.