
Understanding Technology, Big Data and AI
More Technology, Big Data and AI Content
AI Washing: Signs, Symptoms, and Suggested Solutions for Investment Stakeholders
This report addresses the ethical concerns and risks of AI washing in finance, providing crucial questions for stakeholders to evaluate managers’ AI claims and ensure transparency, integrity, and the genuine application of AI in investment strategies.

An Investment Perspective on Tokenization — Part I and II
This report examines tokenization's transformative impact on traditional assets, highlighting its process, benefits, challenges, and policy implications, emphasizing operational efficiencies and practical use cases.

Creating Value from Big Data in the Investment Management Process: A Workflow Analysis
This report examines the increasing adoption of AI and big data technologies in investment management, highlighting their transformative role in workflows and decision making. It explores risks, challenges, opportunities, and global usage patterns.
Policy in Action

Response to FCA - DP25.1 — Regulating Cryptoasset Activities
CFA Institute responded to UK FCA DP25.1 regarding cryptoasset actitivies.

An Investment Perspective on Tokenization — Part I & II
This report examines the legal and regulatory changes needed for tokenization to grow responsibly while ensuring investor protection and market integrity. It analyzes global regulatory regimes, international standards, and the need for legal clarity.

Response to IOSCO Artificial Intelligence in Capital Markets
CFA Institute’s Public Comment re: IOSCO – Artificial Intelligence in Capital Markets: Use Cases, Risks, and Challenges
Be Informed

AI Bias by Design: What the Claude Prompt Leak Reveals for Investment Professionals
A leaked prompt from Anthropic’s Claude reveals how large language models (LLMs) like ChatGPT can amplify cognitive and structural biases—confirmation, anchoring, overconfidence, and more. In this deep dive, Dan Philps, PhD, CFA, and Ram Gopal explain how these biases are baked into seemingly neutral AI tools. More importantly, they outline practical mitigants for investment use cases. For professionals deploying generative AI in research and decision-making, this piece offers a timely warning and a practical path forward.

Creating Value from Big Data in the Investment Management Process: A Workflow Analysis
Cheryll-Ann shares insights from her research, which involved a comprehensive survey and interviews with investment professionals worldwide. The conversation explores the use of AI and big data technologies in the finance sector, highlighting the challenges and opportunities that practitioners, regulators, and executives face in adopting these innovations.

Conversations with Frank Fabozzi, CFA
Join us for an engaging panel discussion that brings together three leading experts in asset management and financial modeling to explore the transformative trends shaping the industry.

Driving Digital Transformation: CFA Institute Research and Policy Center Explores Machine Learning and AI Advancements in Investing
CFA Institute Research and Policy Center is addressing how big data, machine learning and advancements in natural language processing, understanding, and generation will accelerate the digital transformation of the investment industry.
The theme Understanding Technology, Big Data and AI tracks the evolving opportunity set for investment firms and professionals stemming from artificial intelligence (AI), big data, and new analytical tools and technologies.
Our research recognizes that the future of the investment industry is one where big data and AI, smart machines and systems, and data analytics will play a more central role in how the world of finance evolves.