Introduction Artificial intelligence is no longer a pilot project in most enterprises. It is embedded in customer service, credit decisions, hiring processes, supply chain optimization, and product development. But with this scale comes risk. A biased hiring algorithm. An unexplainable credit denial. A model that drifts into inaccuracy. A regulatory fine. Reputational damage. Organizations are…
1) Product Lens: What You’re Building Instead of thinking “framework,” think product. With Google Vertex AI, you’re building an AI-powered application that includes: Component Description Agent Reasoning engine + action execution Data Connections RAG (Retrieval-Augmented Generation) for grounded responses Tools APIs, functions, and external services Deployment Endpoints REST APIs, chat UIs, and app integrations Backed by…
Introduction You submit a loan application. The bank’s AI system denies it. You ask why. The answer: “The model said no.” No explanation. No reasons. No way to understand what went wrong or how to fix it. This is the reality of black-box AI—models that make decisions without offering any insight into how or why those…