Get in touch with us. We'd love to hear from you.
The Future of Advisory: Exploring the Impact of Robo on Wealth Management
White Paper
Robo advisory is taking the financial industry by storm, disrupting the traditional wealth management business model by presenting a new, machine learning-enabled service for investors. As a result, emerging fintech firms are building digital advice-giving systems with fast-acting, analytics-driven expertise that in many ways could augment the capabilities of today’s human financial advisors.
With tightening regulations and increased customer demands driving industry changes at lightning speed, investor engagement solutions and self-service tools are becoming the new normal for wealth management. But what does this mean for banks and financial services firms who are struggling to keep up? According to Panos Archondakis, Senior Director of Wealth Management at EPAM, there needs to be less of a knee-jerk response and more of a measured approach to tackling these digital challenges.
In EPAM’s latest white paper, “The Future of Advisory: Exploring the Impact of Robo-Advice on Wealth Management,” Mr. Archondakis gives insight into the future of wealth management, offering thoughtful answers to questions such as:
- Why all the fuss about robo?
- How far can robo go?
- What does robo mean for advisory, and how should advisory evolve as a result?
And many others, including how best to strategically plan for the disruption. Download the full white paper to explore more on the topic and gain insight into how your business can respond to the challenges.
-
BlogAI’s Maturing Role in Wealth Management
RPA & AI can offer many exciting opportunities for wealth managers, and can improve customer experience, technical debt and portfolio performance.
-
BlogThe Evolution of the Client Advisor
-
InterviewInterview with Jeff Kim, Life Sciences Consultant
-
Event
Webinar: Monitoring SAP Using EPAM’s SSTA Solution & Splunk
-
White PaperIA in Life Sciences Commercial Ops: Enhancing the Customer Experience
Explore the intelligent automation (IA) use cases with the highest potential across three sub-areas of commercial operations: marketing, sales and service.
