Summary In today's episode, I tackle the enterprise-level question of how to avoid replacing vendor lock-in with agentic platform lock-in by building local AI inference capabilities. Here's what this means for you. You'll gain pricing independence and operational control over your AI by owning inference hardware rather than depending solely on cloud providers like OpenAI…
Summary In today's episode, I break down what a HIPAA compliant LLM actually means in practice for clinical enterprise deployments. Here's what this means for you. You must guarantee that patient data never leaves your control, which means running local AI infrastructure instead of leaning on cloud tools like ChatGPT or Claude. You'll also learn…
Summary In today's episode, I walk through the sprawling ecosystem of Microsoft Copilot and unpack what its many versions can and can't actually do. Here's what this means for you. You gain the clarity to decide whether Copilot is worth your time or whether competing tools would serve you better given your situation. You'll also…
Summary In today's episode, I break down the two main techniques companies use to customize generative AI models — retrieval augmented generation and fine-tuning — using a simple library and librarian analogy. Here's what this means for you. You'll know exactly which approach to choose when your AI application isn't performing the way you need…
