Software Factory
for AI Systems

The Journey from Artisanal Machine Learning to ML Infrastructure

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.
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