Released
The New Skills in Finance Report 2022
In a digital-transforming era, there is a widening skills gap for those who cannot adapt to the new digital world in finance.
CFTE and Elevandi published the report with the discussion with leading experts to help governments, organisations and individuals address the current skills gap in finance and build a digital-resilient workforce in the industry.
Key Insights
Key takeaways from "Asset & Wealth Management: The AI Tipping Point" report published by Morgan Stanley
CFTE summarised “Asset & Wealth Management: The AI Tipping Point” report by Morgan Stanley. The report discusses the transformative impact of generative AI (Gen AI) in the asset and wealth management industry, focusing on how it can supercharge efficiency and drive growth.
Key Aspects
- It highlights the potential of Gen AI to enhance productivity across various functions, including sales, client service, product development, investment & research, and mid- & back-office operations.
Table of Contents
- Executive Summary
- State of the Industry
- Asset Managers: Adapting to Gen AI
- Wealth Managers: Leveraging Gen AI for Growth
- The Gen AI Revolution in Asset and Wealth Management
- Survey Insights and Analysis
Key Findings and Insights
This report will give you an insight into:
- Enhanced Productivity through Generative AI
- Generative AI (GenAI) can lead to significant productivity gains across various roles, particularly in research and analyst positions. It allows for the synthesis of research and extraction of data from multiple sources in a shorter timeframe, enhancing the ability of analysts to focus on insight generation rather than data gathering.
- Versatility of Generative AI Applications
- GenAI has a broad range of applications, such as interpreting and learning patterns from natural language, searching for and synthesizing information, creating and customizing content, and interacting with humans in a more human-like manner.
- Continuum of Digital Process Improvement
- Integration of big data into processes and workflows, marked by a continuum of digital process improvement. This begins with using data-driven insights for process improvement and advances to developing intelligent workflows and culminates in intelligent automation.