Fin

Percentage increase in global ESG investments from 2015 to 2023 via a bar chart.

Challenge
Lack of standardization in ESG metrics renders cross-company comparisons challenging.
Dangers of "green washing," where companies exaggerate claims about their ESG actions.

Percentage increase in global ESG investments from 2015 to 2023 via a bar chart.

Challenge
Lack of standardization in ESG metrics renders cross-company comparisons challenging.
Dangers of "green washing," where companies exaggerate claims about their ESG actions.

Percentage increase in global ESG investments from 20

More than 70% of institutional investors believe ESG factors are important to their consideration, according to a survey in 2023.

More than 70% of institutional investors believe ESG factors are important to their consideration, according to a survey in 2023.

More than 70% of institutional investors believe ESG factors are important to their consideration, according to a survey in 2023.

More than 70% of institutional investors believe ESG factors are important to their consideration, according to a survey in 2023.

More than 70% of institutional investors believe ESG factors are

Factor Example Criteria
Carbon emissions, renewable energy use
Employee welfare, community engagement
Board diversity, transparency
Factor Example Criteria
Carbon emissions, renewable energy use
Employee welfare, community engagement
Board diversity, transparency
Factor Example Criteria
Carbon emissions, renewable energy use
Employee welfare, community engagement
Board diversity, transparency
Factor Example Criteria
Carbon emissions, renewable energy use
Employee welfare, community engagement
Board diversity, transparency
Factor Example Criteria
Carbon emissions,

ESG Investing evaluates companies on environmental factors and social and governance factors of the companies.

ESG Investing evaluates companies on environmental factors and social and governance factors of the companies.

ESG Investing evaluates companies on environmental factors and social and governance factors of the companies.

ESG Investing evaluates companies on environmental factors and social and governance factors of the companies.

ESG Investing evaluates companies on environmental factors and social and governance factors of the companies.

ESG Investing evaluates com

ESG investing is gaining rapid popularity as people become increasingly aware of climate change and social responsibility.

ESG investing is gaining rapid popularity as people become increasingly aware of climate change and social responsibility.

ESG investing is gaining rapid popularity as people become increasingly aware of climate change and social responsibility.

ESG investing is gaining rapid popularity as people become increasingly aware of climate change and social responsibility.

ESG investing is gaining rapid popularity as people become increasingly aware of climate chan

Issues
1. Volume and Complexity: Handling and processing large volumes of unstructured data.
2. Quality Issues: Maintaining data accuracy and avoiding bias.
Issues
1. Volume and Complexity: Handling and processing large volumes of unstructured data.
2. Quality Issues: Maintaining data accuracy and avoiding bias.
Issues
1. Volume and Complexity: Handling and processing large volumes of unstructured data.
2. Quality Issues: Maintaining data accuracy and avoiding bias.
Issues
1. Volume and Complexity: Handling and processing large volumes of unstructured data.
2. Quality Issues: Maint

A pie chart indicating the percentage contribution of different alternative data sources to decision-making in quantitative finance.

A pie chart indicating the percentage contribution of different alternative data sources to decision-making in quantitative finance.

A pie chart indicating the percentage contribution of different alternative data sources to decision-making in quantitative finance.

A pie chart indicating the percentage contribution of different alternative data sources to decision-making in quantitative finance.

A pie chart indicating the percentage contribution of

Application
Public sentiment analysis.
Tracking supply chain and industrial activity.
Predicting demand for energy and commodities.
Application
Public sentiment analysis.
Tracking supply chain and industrial activity.
Predicting demand for energy and commodities.
Application
Public sentiment analysis.
Tracking supply chain and industrial activity.
Predicting demand for energy and commodities.
Application
Public sentiment analysis.
Tracking supply chain and industrial activity.
Predicting demand for energy and commodities.
Application
Public sentiment analysis.
Tracking suppl

Use Cases
1. Sentiment Analysis: Monitoring company mentions on social media as a predictive signal for the movement of the stock price.
2. Indicators: Use of satellite imagery to monitor industrial activity such as the output of a factory or the volume of shipping.
Use Cases
1. Sentiment Analysis: Monitoring company mentions on social media as a predictive signal for the movement of the stock price.
2. Indicators: Use of satellite imagery to monitor industrial activity such as the output of a factory or the volume of shipping.
Use Cases
1. Sentiment Analysis: Monitoring company mentio

Challenges
• Uncertainty regarding regulatory compliance, including tax policies.
• Possible abuse to conduct money laundering or other illegal operations.
Challenges
• Uncertainty regarding regulatory compliance, including tax policies.
• Possible abuse to conduct money laundering or other illegal operations.Challenges
• Uncertainty regarding regulatory compliance, including tax policies.
• Possible abuse to conduct money laundering or other illegal operations.
Challenges
• Uncertainty regarding regulatory compliance, including tax policies.
• Possible abuse to conduct money launde

The explosion in alternative data sources-including social media, satellite imagery, and IoT data-brings new insights into the realm of quantitative finance.The explosion in alternative data sources-including social media, satellite imagery, and IoT data-brings new insights into the realm of quantitative finance.The explosion in alternative data sources-including social media, satellite imagery, and IoT data-brings new insights into the realm of quantitative finance.The explosion in alternative data sources-including social media, satellite imagery, and IoT data-brings new insights into the r

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AI-based hedge funds have outperformed traditional funds, with some reporting 25% higher annual returns by using machine learning to develop strategies.
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AI-based hedge funds have outperformed traditional funds, with some reporting 25% higher annual returns by using machine learning to develop strategies.
3


AI-based hedge funds have outperformed traditional funds, with some reporting 25% higher annual returns by using machine learning to develop strategies.
3


AI-based hedge funds have outperformed traditional funds, with some reporting 25% higher annual returns by us

Algorithmic bias and ethics, such as transparency and job loss.Algorithmic bias and ethics, such as transparency and job loss.Algorithmic bias and ethics, such as transparency and job loss.Algorithmic bias and ethics, such as transparency and job loss.Algorithmic bias and ethics, such as transparency and job loss.Algorithmic bias and ethics, such as transparency and job loss.Algorithmic bias and ethics, such as transparency and job loss.Algorithmic bias and ethics, such as transparency and job loss.Algorithmic bias and ethics, such as transparency and job loss.

Better decision-making, cost-effectiveness, and discovery of hidden market opportunities.

Better decision-making, cost-effectiveness, and discovery of hidden market opportunities.

Better decision-making, cost-effectiveness, and discovery of hidden market opportunities.

Better decision-making, cost-effectiveness, and discovery of hidden market opportunities.

Better decision-making, cost-effectiveness, and discovery of hidden market opportunities.

Better decision-making, cost-effectiveness, and discovery of hidden market opportunities.

Better decision-making, cost-effectiven

Metric Traditional Models AI-Based Models
Data Processing Speed Low High
Ability to Identify Patterns Limited Advanced
Predictive Accuracy Moderate High
Metric Traditional Models AI-Based Models
Data Processing Speed Low High
Ability to Identify Patterns Limited Advanced
Predictive Accuracy Moderate High
Metric Traditional Models AI-Based Models
Data Processing Speed Low High
Ability to Identify Patterns Limited Advanced
Predictive Accuracy Moderate High
Metric Traditional Models AI-Based Models
Data Processing Speed Low High
Ability to Identify Patterns Limited Advanced
Predic

Risk Management:
. AI can identify and quantify risks muc. AI can identify and quantify risks much better by using diverse data sources.. AI can identify and quantify risks much better by using diverse data sources.. AI can identify and quantify risks much better by using diverse data sources.. AI can identify and quantify risks much better by using diverse data sources.. AI can identify and quantify risks much better by using diverse data sources.. AI can identify and quantify risks much better by using diverse data sources.. AI can identify and quantify risks much better by using diverse