AI's Growth in MBA Programs Spells Good Things for Its Future
A recent WSJ story highlighting the increase of artificial intelligence courses offered at business schools should mean further growth for the innovative technology.
A technology's success or failure in financial services is, in many cases, highly dependent upon approval from the business side of the firm.
It doesn't matter how innovative or amazing a technology is. If the business folks don't have at least some understanding of it, however elementary, they aren't going to be willing to adopt it.
That's why I found a recent story in The Wall Street Journal so fascinating. The piece, which can be found here, detailed how many of the world's most prestigious business schools—Harvard Business School, Massachusetts Institute of Technology's Sloan School of Management, and Northwestern University's Kellogg School of Management were among those mentioned—are adding MBA courses focused on artificial intelligence (AI).
This is a big step for AI, which has been lauded by technology folks for a long time but isn't truly understood by those on the business side. These courses mean many people who will end up stationed in banks' front offices will have a deeper understanding of artificial intelligence, which can only spell good things for the further growth of the innovative technology.
Comfort Level
AI's introduction to the future executives of financial firms will have a big impact for a number of reasons, but there is one effect that stands out to me specifically. As these students' knowledge of AI increases, so too will their comfort level. A person is more likely to use something as they grow increasingly comfortable with it.
Let's take a look at another innovative technology as a comparison. Distributed-ledger technology (DLT) has received more press than arguably any other technology in financial services over the past year. However, for all the hoopla surrounding it, there hasn't been a true implementation of the technology at big banks yet.
Part of this, I believe, is that the technology is not properly understood by those in the front office. If you asked a random portfolio manager to explain DLT, how many could give you a legitimate answer? Sure, some might throw out the word blockchain, or even have a very small semblance of what it is, but the vast majority would not likely know much about it beyond the fact it's a technology some of their back-office employees are looking at.
With that in mind, are C-level executives really going to green-light a project they don't understand? Granted, I don't expect these people to get into the detailed nuances of every technology their firm is running, but they'll at least want to know the general concept before they push forward with a new project. The fact that more MBA graduates will have an understanding of AI and, more importantly, how to successfully work with it, is a huge win for the AI community.
People aren't necessarily afraid of the dark. It's the unknown that really bothers them. These MBA classes will serve as the night light the financial industry needs, allowing it to sleep easy when it comes to AI.
Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.
To access these options, along with all other subscription benefits, please contact info@waterstechnology.com or view our subscription options here: http://subscriptions.waterstechnology.com/subscribe
You are currently unable to print this content. Please contact info@waterstechnology.com to find out more.
You are currently unable to copy this content. Please contact info@waterstechnology.com to find out more.
Copyright Infopro Digital Limited. All rights reserved.
As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (point 2.4), printing is limited to a single copy.
If you would like to purchase additional rights please email info@waterstechnology.com
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (clause 2.4), an Authorised User may only make one copy of the materials for their own personal use. You must also comply with the restrictions in clause 2.5.
If you would like to purchase additional rights please email info@waterstechnology.com
More on Emerging Technologies
An AI-first approach to model risk management
Firms must define their AI risk appetite before trying to manage or model it, says Christophe Rougeaux
Waters Wavelength Ep. 297: How to talk to the media
This week, Tony and Wei-Shen discuss the dos and don’ts for sources interacting with the media.
The Waters Cooler: Tidings of comfort and joy
Christmas is almost upon us. Have you been naughty or nice?
FactSet launches conversational AI for increased productivity
FactSet is set to release a generative AI search agent across its platform in early 2025.
Waters Wavelength Ep. 295: Vision57’s Steve Grob
Steve Grob joins the podcast to discuss all things interoperability, AI, and the future of the OMS.
S&P debuts GenAI ‘Document Intelligence’ for Capital IQ
The new tool provides summaries of lengthy text-based documents such as filings and earnings transcripts and allows users to query the documents with a ChatGPT-style interface.
The Waters Cooler: Are times really a-changin?
New thinking around buy-build? Changing tides in after-hours trading? Trump is back? Lots to get to.
A tech revolution in an old-school industry: FX
FX is in a state of transition, as asset managers and financial firms explore modernizing their operating processes. But manual processes persist. MillTechFX’s Eric Huttman makes the case for doubling down on new technology and embracing automation to increase operational efficiency in FX.