Overview
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Explore the strategic foundations of implementing large language models and generative AI at enterprise scale in this 12-minute conference talk from Conf42 LLMs 2025. Learn essential design principles for generative AI systems and discover how to architect comprehensive AI-driven ecosystems that integrate seamlessly with existing business operations. Examine critical aspects of data management and engineering required for successful AI implementations, including modern software platforms and digital channel integration. Dive deep into infrastructure requirements and data management strategies that support scalable AI solutions. Address common operational challenges and develop practical strategies for overcoming implementation hurdles. Understand the key components of a robust generative AI technology stack and explore proven approaches for scaling generative AI use cases across different business contexts. Gain insights into building sustainable AI transformation initiatives that deliver measurable business value while maintaining operational efficiency.
Syllabus
00:00 Introduction to Scaling AI with Large Models
00:34 Key Design Principles for Generative AI
01:49 Architecting AI-Driven Ecosystems
02:12 Data Management and Engineering
02:39 Modern Software Platforms and Digital Channels
03:30 Deep Dive into Infrastructure and Data Management
07:01 Operational Challenges and Strategies
07:50 Key Elements of Generative AI Tech Stack
10:13 Scaling Generative AI Use Cases
11:28 Conclusion and Final Thoughts
Taught by
Conf42