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The Journal of Financial Data Science

The Journal of Financial Data Science

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It’s All About Data: How to Make Good Decisions in a World Awash with Information

Mehrzad Mahdavi and Hossein Kazemi
The Journal of Financial Data Science Spring 2020, 2 (2) 8-16; DOI: https://doi.org/10.3905/jfds.2020.1.025
Mehrzad Mahdavi
is executive director of the FDP Institute in Amherst, MA
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Hossein Kazemi
is the Philipp Distinguished Professor of Finance in the Isenberg School of Management at the University of Massachusetts—Amherst and a senior advisor at the CAIA Association in Amherst, MA
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Abstract

The rise of big and alternative data has created significant new business opportunities in the financial sector. As we start on this journey of fast-moving technology disruption, financial professionals have a rare opportunity to balance the exponential growth of artificial intelligence (AI)/data science with ethics, bias, and privacy to create trusted data-driven decision making. In this article, the authors discuss the nuances of big data sets that are critical when one considers standards, processes, best practices, and modeling algorithms for the deployment of AI systems. In addition, this industry is widely guided by a fiduciary standard that puts the interests of the client above all else. It is therefore critical to have a thorough understanding of the limitations of our knowledge, because there are many known unknowns and unknown unknowns that can have a significant impact on outcomes. The authors emphasize key success factors for the deployment of AI initiatives: talent and bridging the skills gap. To achieve a lasting impact of big data initiatives, multidisciplinary teams with well-defined roles need to be established with continuing training and education. The prize is the finance of the future.

TOPICS: Simulations, big data/machine learning

Key Findings

  • • The rise of alternative data in finance is creating major opportunities in all areas of the financial industry, including risk management, portfolio construction, investment banking, and insurance.

  • • To build trusted outcomes in AI/ML initiatives, financial professionals’ roles are critical. Given the many nuances in using big data, there is a need for vetted protocols and methods in selecting data sets and algorithms. Best practices and guidelines are effective in reducing the risks of using AI/ML, including overfitting, lack of interpretability, biased inputs, and unethical use of data.

  • • Given the major shortage of talent in AI/data science in finance, practical training of employees and continued education are keys to scale roll out to enable future of finance.

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The Journal of Financial Data Science: 2 (2)
The Journal of Financial Data Science
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Spring 2020
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It’s All About Data: How to Make Good Decisions in a World Awash with Information
Mehrzad Mahdavi, Hossein Kazemi
The Journal of Financial Data Science Apr 2020, 2 (2) 8-16; DOI: 10.3905/jfds.2020.1.025

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It’s All About Data: How to Make Good Decisions in a World Awash with Information
Mehrzad Mahdavi, Hossein Kazemi
The Journal of Financial Data Science Apr 2020, 2 (2) 8-16; DOI: 10.3905/jfds.2020.1.025
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  • Article
    • Abstract
    • BIG DATA IS BIG BUSINESS
    • HOW WILL BIG DATA AND MACHINE LEARNING CHANGE THE INVESTMENT LANDSCAPE?
    • BIG DATA TYPES AND SCOPE
    • BIG DATA AND MODELING ALGORIMTHS
    • BIG DATA IMPLEMENTATION CHALLENGES
    • BIG DATA MASSIVE TRAINING AND NEW SKILL DEVELOPMENT
    • A CALL TO ACTION
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