This white paper by DeepKnit AI provides a comprehensive guide for enterprises seeking to scale intelligent automation by customizing AI models to meet their unique business requirements. With organizations now increasingly turning towards AI to streamline activities like daily operations, customer interactions, and drive innovation, the ability to design models for specific domains and workflows have now become a critical differentiator.
The paper underlines the technical, organizational, and strategic challenges of implementing AI at scale, and provides solid frameworks for overcoming them—covering everything from domain adaptation and fine-tuning to governance, compliance, and infrastructure scaling.
Key Takeaways:
- Understand the core barriers enterprises face in scaling intelligent automation and how to address them effectively.
- Learn about advanced AI customization techniques, including fine-tuning, retrieval-augmented generation (RAG), and transfer learning.
- Explore real-world industry applications demonstrating how tailored AI models drive measurable business value across sectors.
