Ryan Booth, network engineer and AI developer, joins Philip Gervasi to explore the practical realities of building AI applications specifically for network and IT operations. They talk about the importance of starting with clear business objectives, understanding data engineering essentials, managing model evaluation, and bridging knowledge gaps between infrastructure and data teams. Ryan shares his insights about the need for iterative learning, using simple projects to gain practical skills, and recognizing how AI can effectively solve real ITOps and NetOps challenges.