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Artwork for AI Keyhole: Evolution, Applications & Policy

AI Keyhole: Evolution, Applications & Policy

AI Accelerator Institute
Fintech
AI Machine Learning
Artificial Intelligence
Commercial Banking
Digital Marketing
Data Analysis
Fraud Detection
Data Quality
Entrepreneurship
Client Engagement
Offline Marketing
Machine Learning
Turing Test
Facial Recognition Technology
Neural Networks
Fraud Prevention
Mathematics
Data Bias
Traffic Sign Recognition
Movie Reviews

The history, math, and legal side behind AI in today's world, for non-AI practitioners and AI enthusiasts alike.

PublishesDailyEpisodes5Founded3 years ago
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BusinessMarketingTechnology

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Artwork for AI Keyhole: Evolution, Applications & Policy

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Similar Podcasts

People also subscribe to these shows.

WSJ What’s News
WSJ What’s NewsThe Wall Street Journal
The Daily
The DailyThe New York Times

Recent Guests

Daniel Wu
Head of AI Machine Learning at JPMorgan Chase & Co.
JPMorgan Chase & Co.
Episode: Daniel Wu on AI, Fintech & fighting fraud
Eric Huberman
Founder and CEO of Hawk Media, a digital marketing boutique
Hawk Media
Episode: Eric Huberman and AI in digital marketing
Christian Igel
Professor in the Department of Computer Science
University of Copenhagen
Episode: Professor Christian Igel podcast on the math of AI

Host

Ryan Long
Host of the Keyhole series installment with expertise in AI applications and policy discussions.

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Talking Points

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Daniel Wu on AI, Fintech & fighting fraud
Q: What is AI?
Artificial intelligence refers to the simulation of human intelligence in machines programmed to think like humans.
Daniel Wu on AI, Fintech & fighting fraud
Q: Can you let folks know, what is commercial banking?
Commercial banking provides businesses and organizations with financial needs, including strategic advice and banking solutions.
Daniel Wu on AI, Fintech & fighting fraud
Q: Why is data important in FinTech?
Data is crucial because it directly impacts the quality of AI and machine learning models; poor data leads to poor decision-making.
Daniel Wu on AI, Fintech & fighting fraud
Q: What is dirty data?
Dirty data refers to data that is inaccurate, erroneous, or violates business rules, which can lead to significant consequences if used in decision-making.
Daniel Wu on AI, Fintech & fighting fraud
Q: What are some of the benefits of applying FinTech in commercial banking?
FinTech increases efficiency, profitability, innovation in financial products, improved risk control, and enhances customer interactions.

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Frequently Asked Questions About This Podcast

What is This Podcast about and what kind of topics does it cover?

This podcast explores topics related to the history and development of artificial intelligence (AI), including its applications across various industries such as finance, marketing, and technology. Key discussions often involve the evolution of fintech and its integration with AI, insights from experts in the field, and the ethical implications surrounding data privacy and bias in AI technologies. The content is designed to engage both AI practitioners and those who may be less familiar with the field, making complex ideas accessible and relevant.

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These podcasts share a similar audience with this podcast:

1. WSJ What’s News
2. The Daily

How many episodes of this podcast are there?

this podcast launched 3 years ago and published 5 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on this podcast?

Recent guests on this podcast include:

1. Daniel Wu
2. Eric Huberman
3. Christian Igel

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