Building Enterprise AI
Building Enterprise AI explores how organizations build and deploy domain-specific large language models. It covers fine-tuning, production AI systems, and the practical realities of enterprise adoption. The show features practitioners, architects, and technology leaders sharing firsthand experience. There is no hype or theory—just what broke and how they fixed it.
Episodes
Why Your Enterprise Needs Its Own LLM — Fine-Tuning for $15
Alex and Maya break down Abhijeet Patil's hands-on account of building a domain-specific LLM for the enterprise. Why do 88% of organizations use AI but nearly two-thirds haven't scaled it? How did a focused 7-billion parameter model hit 95% accuracy with near-zero hallucinations for $15 per training run?
Topics covered:
- The agentic AI storm and McKinsey's 2025 findings
- The Pluribus Syndrome:
Brand Visibility Analyzer: How AI Search Engines Rank Your Brand
Alex and Maya introduce the Brand Visibility Analyzer, now live on the Agentic AI Showcase. When travelers ask AI for hotel recommendations, which brands appear first? This tool scores brand visibility across five AI search engines: Perplexity, ChatGPT, Gemini, Claude, and Grok.
Topics covered:
- Why AI search visibility is the new battleground for brands
- Live demo: dashboard, scoring, competit
Cross-Platform A2A: Salesforce AgentForce + AWS Bedrock AgentCore
Alex and Maya break down cross-platform agent-to-agent collaboration: the Strategy Hub on AWS Bedrock AgentCore now coordinates with a Salesforce AgentForce agent using federated identity (Cognito JWT + OAuth2).
Topics covered:
- Cross-platform A2A: one orchestrator, multiple platforms
- Live demo: Revenue Optimizer + Guest Experience + Group Sales agents working together
- AgentCore Registry: go
The LLM Command Center: Running the Full Domain-LLM Lifecycle in One Place
Part 1 was the why. Part 2 was the where. Part 3 is the how. Alex and Maya walk through the LLM Command Center, a single console for the entire domain-specific LLM lifecycle.
Topics covered:
- Recap of the series: why domain-specific LLMs (the Pluribus framing) and why hospitality
- The Command Center: chat compare, pipeline, observe, data, quality, lineage, HP sweep, train, register, deploy, eva
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