AI Articles and Analysis about Compliance

Regulatory compliance describes the goal that organisations aspire to achieve in their efforts to ensure that they are aware of and take steps to comply with relevant laws, policies, and regulations.", "uri": "https://en.wikipedia.org/wiki/Regulatory_compliance

Financial Services Challenges from a Data Perspective – with Bill Waid of FICO@2x-min
Case management
Claim management
Compliance
Customer experience
Customer service
Data auditing
Data collection
Data entry
Data integration
Data management
Enterprise resource planning
Generative AI
Help desk
Intelligent assistant
Investment
Knowledge management
Large Language Models
model development
Natural Language Processing
Process automation
Report generation
Risk management
Training and development

Financial Services Challenges from a Data Perspective – with Bill Waid of FICO

Originally founded as Fair, Isaac and Company, FICO is a data analytics company founded in 1956. Based in Bozeman, Montana, the company is focused on credit scoring services, most notably its FICO score, which measures a person's creditworthiness. 
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.
Machine Learning and Large Language Models in Healthcare – with Dr. Arta Bakshandeh of Alignment Health@1x
"Clinical support
Healthcare
Business intelligence and analytics
Healthcare services
Claim management
Compliance
Customer analytics
Data analysis
Data auditing
Data collection
Data integration
Data management
Enterprise resource planning
Generative AI
Knowledge management
Large Language Models
model development
Predictive analytics and forecasting
Report generation

Machine Learning and Large Language Models in Healthcare – with Dr. Arta Bakshandeh of Alignment Health

AI and machine learning have promising potential in the field of healthcare. However, there is one significant hurdle healthcare companies often encounter when trying to implement AI and machine learning. The data architecture of current legacy systems in healthcare settings prevents implementing many use cases and limits a company’s ability to benefit from these technologies fully.
AI at Cardinal Health@2x-min
Case management
Claim management
Claim management
Compliance
Customer experience
Customer service
Enterprise resource planning
Help desk
Intelligent assistant
Machine learning infrastructure
Research and development

Artificial Intelligence at Cardinal Health – Two Use Cases

Cardinal Health is a global healthcare services company with a rich history and a strong focus on providing integrated solutions to the healthcare industry. Established in 1971, the company has become a leading player in the healthcare sector, offering a wide range of products, services, and technologies to enhance patient care, optimize supply chain efficiency, and drive value-based outcomes.
OECD-Approved AI Tools and Resources for Financial Services@2x
Business intelligence and analytics
Case management
Compliance
Customer analytics
Data analysis
Data auditing
Data collection
Data integration
Data management
Enterprise resource planning
Knowledge management
Predictive analytics and forecasting
Report generation
Text analysis

OECD-Approved AI Tools and Resources for Financial Services

The OECD.AI Policy Observatory is an inclusive platform that brings together resources and expertise from the OECD and its partners to facilitate dialogue and provide evidence-based policy analysis on the impact of AI. It is built upon the foundation of the OECD AI Principles, the first intergovernmental standard on AI adopted in 2019, endorsed by OECD countries and partner economies.
002 – What Responsible AI Means for Financial Services – with Scott Zoldi
Compliance
Finance
Data analysis
Financial services
Data auditing
Data collection
Data integration
Data management
Knowledge management

What Responsible AI Means for Financial Services – with Scott Zoldi 

Implementing responsible AI in the financial sector is crucial for ethical practices, fairness, and transparency. Financial institutions must prioritize data privacy, address biases, ensure explainability, and practice ongoing monitoring. By doing so, they build trust, mitigate risks, and foster sustainable growth. 
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.