
Understanding Technology, Big Data and AI
More Technology, Big Data and AI Content
The Automation Ahead Content Series
This series breaks down the reality of GenAI’s current state, guiding you through the innovations, possibilities, and risks of this new wave of automation.

Investment Model Validation: A Guide for Practitioners
As the investment landscape evolves, proactive model validation is critical for the reliability and effectiveness of any investment process. This monograph provides a practical, detailed overview of validation tools available to practitioners.

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

AI’s Game-Changing Potential in Banking: Are You Ready for the Regulatory Risks?
As AI and big data transform the financial services sector, investment professionals face new opportunities and challenges. Md Nasim Akhtar, FDB, makes his Enterprising Investor debut with a focus on banking. He identifies six key regulatory concerns and actionable steps to mitigate them. As regulators continue to refine their understanding of AI and big data, financial institutions have an opportunity to shape the regulatory landscape by participating in discussions and implementing responsible practices, he recommends.

AI in Investment Management: Ethics Case Study Part II
In this post, Jon Stokes reveals how well you applied the Codes and Standards to analyze the case study presented in Part 1.

AI in Investment Management: Ethics Case Study
As with any cutting-edge investment practice, managers must be diligent in ensuring new practices do not run afoul of the fundamental ethical principles of integrity, transparency, competency, diligence, and protecting clients. Jon Stokes presents a case study of AI in the investment management process and related client communications. Can you identify the ethical issues that arise?
Be Informed

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.

AI and EU Regulations: Navigating Compliance in Financial Services
Explore the impact of EU regulations like the AI Act, GDPR, DORA, and NIS2 on AI in financial services. Gain insights into compliance strategies for managing AI as an outsourced function, driving innovation and efficiency.

Conversations with Frank Fabozzi, CFA, featuring Manish Chakrabarti, Arpit Narain, CFA, and Anil Sood
In this episode, Frank Fabozzi, CFA, speaks with three technology leaders in the investment industry about developing and implementing artificial intelligence (AI) responsibly.

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.