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Printable Handouts
Navigable Slide Index
- Introduction
- Part 1: Artificial intelligence
- Overview of AI in finance
- Current financial landscape relevance
- Current financial landscape relevance (statistics)
- AI & ML theoretical background
- Diverse applications
- Part 2: Case study
- PayPal
- Fraud detection challenge
- AI-Driven solution
- Outcomes of AI implementation
- Part 3: Key lessons
- Theoretical frameworks
- Navigating the future of finance
- Challenges and opportunities
- Part 4: Conclusions
- AI's role in reshaping finance
- Conclusions
This material is restricted to subscribers.
Topics Covered
- Fraud prevention
- Machine learning
- Data insights
- Collaboration
- Risk management
- Fintech
- Credit scoring
- Language models
Links
Categories:
Bite-size Case Studies:
External Links
- Statista: Share of financial services professionals who think that artificial intelligence (AI) is important to succeed in the industry worldwide in 2023
- Statista: Increase in revenue of financial services companies worldwide because of the adoption of artificial intelligence (AI) as of 2020
- ModorIntelligence: AI in fintech market size
Talk Citation
Lopez-Lira, A. (2024, April 30). Preparing for an AI-driven financial landscape [Video file]. In The Business & Management Collection, Henry Stewart Talks. Retrieved December 21, 2024, from https://doi.org/10.69645/ZDDN9924.Export Citation (RIS)
Publication History
Transcript
Please wait while the transcript is being prepared...
0:00
Hi. My name is
Alejandro Lopez-Lira.
I'm an assistant
professor of finance
at the University of
Florida and today we'll be
speaking about artificial
intelligence (AI), broader impact,
and preparing for an AI-driven
financial landscape.
0:21
Let's first start with
a quick overview
of AI in finance.
Today we stand at
the forefront of
a transformative era
in finance, marked by
the rapid integration of
Artificial Intelligence
or AI into financial
systems globally.
AI's role in finance has evolved
from a mere
technological novelty to
a core component
driving innovation and
efficiency across various
sectors including banking,
investment, risk
management, and insurance.
The significance of AI
in finance stems from
its unparalleled ability to
analyze vast amounts of data,
recognize patterns, and make
predictions with the level of
speed and accuracy far
beyond human capabilities.
This capability has opened
doors to numerous
advancements, such
as enhanced customer experience
through personal
financial services,
improved risk
assessment models, and
real-time fraud
detection systems
that safeguard
billions in assets.
Moreover, AI's integration into
shaping the financial
landscape by automating
routine tasks thereby allowing
financial professionals
to focus on
more strategic aspects
of their roles.
It's also democratizing
financial services
making them more accessible to
underserved populations
through innovations like
AI-driven credit scoring for
individuals with
limited credit history.
As we delve deeper
into this topic,
we will explore
how AI is not only
revolutionizing existing
financial operations, but also
paving the way for
new business models
and strategies. Thus,
preparing us for
an AI-driven financial
future that is
more efficient,
secure, and inclusive.
I will speak a little bit about