Feb 21
Loading video player...
Most AI projects don’t fail because the models are weak. They fail because governance was an afterthought. If you're building AI features inside enterprise applications — especially in India — calling public OpenAI APIs directly is not a production strategy. It’s a demo strategy. In this video, we break down: • The naive way vs the enterprise way of building AI • What Azure OpenAI actually is (and what it isn’t) • Why security, compliance, and cost control matter in production • Real Indian use cases in BFSI, healthcare, IT, and government • Internal copilots done right with RAG and role-based access • Governance, monitoring, and prompt standardization • How to move from AI experimentation to real deployment We cover practical scenarios like: ✔ BFSI internal support copilots ✔ Healthcare clinical document summarization ✔ IT ticket summarization ✔ Policy search for large enterprises ✔ Government citizen grievance classification If you're an architect, engineering leader, founder, or enterprise developer building AI systems in regulated environments — this episode is your foundation. Don’t optimize for demos. Optimize for deployment. #AzureOpenAI#EnterpriseAI#AIArchitecture#BFSI#HealthcareAI#GovTech#RAG#CloudSecurity#AIInIndia#AIEngineering#GenAI#TechLeadership#MicrosoftAzure#AIForEnterprises#aididthatbro