AI Articles and Analysis about Fraud protection

Fraud involves one or more persons who intentionally act secretly to deprive another of something of value, for their own benefit. Fraud is as old as humanity itself and can take an unlimited variety of different forms. However, in recent years, the development of new technologies has also provided further ways in which criminals may commit fraud.

enAI Use Cases for Insurance, from Marketing to Copilots-1-min
Customer analytics
Finance
Cybersecurity
Insurance
Fraud protection
Generative AI
Large Language Models
Market segmentation
Marketing and advertising
Marketing automation
Natural Language Processing
Security

Generative AI Use Cases for Insurance, from Marketing to Copilots – with John Almasan of TIAA

As new generative AI use cases continue to reshape the enterprise landscape across the global economy, many sectors are still weathering significant risks to keep pace with the adoption hype. Deloitte's "State of Generative AI in the Enterprise 2024" report found that 79% of respondents expect generative AI to transform their organizations within three years. However, companies must approach these investments cautiously with a focus on responsible implementation. 
01 – Confronting Unique Challenges in Retail and eCommerce Fraud@1x-min
Business intelligence and analytics
Consumer goods
Case management
Entertainment
Customer analytics
Finance
Customer analytics
Financial services
Customer service
Gaming
Cybersecurity
Retail
Data analysis
Data auditing
Data collection
Data integration
Data management
E-commerce
Fraud protection
Fraud protection
Generative AI
Identity theft
Insider threats
Large Language Models
Machine learning infrastructure
Market segmentation
Marketing and advertising
Predictive analytics and forecasting
Recommendations
Research and development
Security

Confronting Unique Challenges in Retail and eCommerce Fraud – with Leaders from Amazon, PayPal, FanDuel, and Riskified

This interview analysis is sponsored by Riskified and was written, edited and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.
AI at State Farm@1x-min
Automation and robotics
Business intelligence and analytics
Case management
Case management
Claim management
Claim management
Compliance
Customer analytics
Customer analytics
Customer experience
Customer service
Data auditing
Data collection
Data integration
Data management
Document processing
Emergency management
Enterprise resource planning
Fraud protection
Generative AI
Help desk
Intelligent assistant
Investment
Large language models
Large Language Models
Logistics
Marketing and advertising
model development
Reputation management
Security

Artificial Intelligence at State Farm

State Farm is a large insurance company headquartered in Bloomington, Illinois. Its main lines of business include property and casualty insurance, as well as auto insurance. The company is the leading auto and home insurer in the United States.
AI Communications Surveillance-1x min
Automation and robotics
Business intelligence and analytics
Cybersecurity
Data analysis
Data auditing
Data collection
Data integration
Data management
Defense
Fraud protection
Generative AI
Identity theft
Insider threats
Large language models
Large Language Models
model development
Natural Language Processing
Predictive analytics and forecasting
Security
Text analysis

AI for Communications Surveillance and Compliance – Two Use Cases

Communications surveillance in financial services involves both monitoring and analyzing electronic communications within a financial institution to prevent fraud, ensure regulatory compliance, identify and manage risks resulting from inappropriate activity, and maintain integrity in financial markets. 
Retail Fraud & Loss Prevention in Data, Brick-and-Mortar and Beyond – with Chris Nelson of Gap Inc.@2x-min
Customer analytics
Consumer goods
Data analysis
Retail
Data auditing
Data collection
Data management
E-commerce
Fraud protection
Fraud protection
Large language models

Retail Fraud & Loss Prevention in Data, Brick-and-Mortar and Beyond – with Chris Nelson of Gap Inc.

Retail fraud and loss prevention have always been significant business concerns impacting profitability and customer trust. However, with the emergence of AI technologies, there is a newfound potential to combat these challenges more effectively. 
002 – AI at MetLife-min
Compliance
Insurance
Customer experience
Data analysis
Emergency management
Fraud protection

AI at MetLife – Three Use Cases

MetLife is a leading global insurance company headquartered in New York City. It provides its customers various insurance and financial services, including life insurance, health insurance, retirement plans, and investment management.