AI in Banking for Data Integrity | Billion $$$ Idea | Advice to GenZ скачать в хорошем качестве

AI in Banking for Data Integrity | Billion $$$ Idea | Advice to GenZ

Headline: Is Your AI Agent Compliance-Ready? 🤖🏦 The Future of Banking is "Agentic," but the Moat is Domain Knowledge. Chapters: 00:00 - Introduction 02:24 - Understanding Bank Regulatory process 06:08 - AI Application in bank regulations 07:44 - Manage Hallucination 09:58 - Reproducibility using AI 12:35 - Explainability of AI decisions 15:08 - Agents in Regulatory Industry 19:37 - HMDA Data Publicly Available 22:00 - AI Wars and A New Business Idea 25:07- Advice for GenZ We often think of a loan application as a simple "submit" button. But under the hood? It’s a massive cascade of regulatory checks, thousands of decision nodes, and strict federal laws where "close enough" is a violation. 🛑 I recently sat down with Ashuvendra Singh to peel back the layers of Banking Compliance, Data Integrity, and the Agentic Shift. We went deep into the trenches of how top financial institutions are using AI not just to write emails, but to enforce federal laws. Here are the Key Insights from our conversation: 🔍 1. The "Hallucination" Trap in Banking In creative writing, a hallucination is a quirk. In banking, it’s a lawsuit. Ashu shared his "Traceability" framework: AI agents must not only give an answer but point to the exact page and pixel in the source document where the data came from. If you can’t audit the pixel, you can’t trust the prediction. 🤖 2. The Rise of the "Agent Manager" Forget the fear that software engineering is dying. The role is evolving. We are moving from building tools to managing autonomous agents. The new hot job title? Agent Manager. McKinsey alone has deployed 20,000 agents to its 40,000 consultants. The future belongs to those who can orchestrate these digital workforces. 🏗️ 3. The "Buy vs. Build" Reality for Banks While the Top 10 banks are building their own LLMs, the rest of the market (thousands of community banks and credit unions) will rely on strategic partners. The cost of an "AI Arms Race" is too high for smaller players to fight alone. 🧠 4. The Ultimate Career Moat: DOMAIN Ashu’s advice to the younger generation is gold: Technical skills (Data & AI) are transferable, but Domain Knowledge is the sticky competitive advantage. You can teach an AI to summarize a 100-page statute, but only a human expert knows if that summary is legally sound. 💡 The Verdict? Data is no longer just the "new oil"—it is the instruction set for autonomous agents. If your data foundation is cracked, you aren't automating success; you're automating liability. #ai #banking #compliance #fintech #agenticai #dataintegrity #careeradvice #futureofwork #regulation #aiwar #aistartup