The Journey to a Unified Enterprise Architecture for AI Systems
In this paper you learn about the most common architectural pitfalls on the journey to building an organization capable of creating AI-powered services.
Learn more about:
- The journey for batch machine learning, and the challenges in going from models powered by a single database table to more complex production models.
- The challenges in build real-time machine learning systems, and how a microservices approach is an evolutionary dead-end.
- A unified architecture for batch, real-time, and LLM AI systems based on shared ML infrastructure and independent ML pipelines.