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Nasdaq CEO Friedman on AI and Transparency Across Markets

Nasdaq CEO Friedman on AI and Transparency Across Markets

Assessment

Interactive Video

Business

University

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

The video discusses NASDAQ's evolution from a securities exchange to a technology company serving global capital markets. It highlights NASDAQ's technology-driven services, including workflow tools for asset managers and anti-financial crime solutions. The use of AI in market modernization and financial crime prevention is explored, along with regulatory challenges. NASDAQ's role in ESG reporting and corporate efficiency is also covered, concluding with a discussion on regulatory issues related to listed companies.

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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is NASDAQ's current vision beyond being a securities exchange?

A global retail company

A technology company serving global capital markets

A financial advisory firm

A traditional banking institution

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How many exchanges worldwide does NASDAQ provide technology to?

50

130

100

200

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary focus of NASDAQ's anti-financial crime suite?

Fraud and AML detection

Investment banking

Marketing strategies

Customer service

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a key feature of NASDAQ's AI-driven order type?

It reduces transaction fees

It introduces latency to create liquidity pools

It eliminates the need for brokers

It increases the speed of transactions

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a major challenge in using AI for financial crime detection?

Limited computing power

Regulatory requirements for explainability

High cost of implementation

Lack of data

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What percentage of laundered money is estimated to be caught globally?

10%

1%

25%

50%

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a significant barrier to data sharing for financial crime detection in Europe?

Lack of technology

Regulatory restrictions

High costs

Insufficient data

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