Industry Primer for Wealth Management: Technology, Innovation, and AI

Explore the modern wealth management landscape and the growing role of technology, innovation, and AI. Examine core systems supporting portfolio management, financial planning, and customer relationship management, and see how digital transformation trends like cloud adoption, automation, and AI analytics drive efficiency and improve client interactions. Review the challenges of legacy system constraints and data quality, along with the opportunities presented by emerging technologies and innovation models. Consider the role of security, compliance, and change management in successful transformations. Identify consulting opportunities across technology and AI, and learn how to convey the business value of automation and AI in client engagements. This course is designed for consultants, strategists, and business analysts who want to deepen their expertise in wealth management technology and data strategy.

Learning objectives
Describe the core systems that support wealth management operations, including portfolio management, financial planning, and customer relationship management.
Explain how digital transformation trends such as cloud adoption, automation, and AI analytics improve efficiency and client interactions.
Identify challenges related to legacy systems and data quality in wealth management technology.
Recognize opportunities presented by emerging technologies and innovation models in the industry.
Assess the role of security, compliance, and change management in technology transformations.
Identify consulting opportunities in technology and AI within wealth management engagements.
Explain the business value of automation and AI to clients and stakeholders.