From the course: Industry Primer for Wealth Management: Technology, Innovation, and AI

Introduction

From the course: Industry Primer for Wealth Management: Technology, Innovation, and AI

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Introduction

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You walk into a meeting with a senior partner at a wealth management firm. The first question is not about strategy or fees, it's about your tech. Specifically, how your firm helps advisory firms modernize their platforms, govern their AI models, and turn fragmented client data into something useful. If you hesitate, the conversation moves on. If you answer with precision, you earn the next meeting. That's exactly what this course prepares you to do. Hi, I'm Paul Siegel, your facilitator for this course. I have been in the bank and business for decades, starting as a credit analyst for a super regional bank in the United States, covering middle market companies, where the owners of the businesses were people you needed to understand in the 360 degree manner. Not merely the financial circumstances of their specific business and industry, but you need to understand their financial objectives from a wealth management and succession point of view. Personally, I've seen the banking and institutional sector from many sides, including the consulting and advising businesses, whether it's on the business side or the tech side for some of the largest financial institutions in the world, whether they were in the Asia Pacific region, Middle East, Europe, or the Americas, I've been in those institutions in 45 different countries. I worked in tech, digital transformation, enterprise systems for 30 plus years, starting with the rise of what was called info tech. and today before the rise of AI and the extraordinary launch of LLMs and GPTs several years ago. I'm eager to jump into this course with you. Welcome to Wealth Management, Technology, Innovation, and AI. By the end of this course, you'll be able to describe the core systems and technology stack that support wealth management, including portfolio management, financial planning, customer relationship management, trading, and client insight platforms. Explain how cloud adoption, workflow automation, and unified data platforms drive digital transformation in advisory firms. Analyze AI and advanced analytics use cases, maturity levels, and associated risks, including suitability, transparency, and bias. Evaluate emerging technologies and innovation models, including robo-advisory, hybrid advisory, and end-to-end client platforms. Identify consulting opportunities across AI strategy, technology modernization, data strategy, and automation. I look forward to guiding you through this material. Let us dive in and build the knowledge that earns you the seat at the table in your next wealth management engagement.

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