AI Articles and Analysis about Data collection

Data collection is the process of gathering and measuring information on targeted variables in an established systematic fashion, which then enables one to answer relevant questions and evaluate outcomes.

The Future of Customer Interactions in Financial Services
Business intelligence and analytics
Case management
Claim management
Claim management
Compliance
Conversion optimization
Customer analytics
Customer analytics
Customer experience
Customer service
Data auditing
Data collection
Data integration
Data management
Enterprise resource planning
Generative AI
Help desk
Intelligent assistant
Large Language Models
Market segmentation
Marketing and advertising
model development
Risk management

The Future of Customer Interactions in Financial Services – with Ivan Edwards of Cadence Bank and John Thomas of Uniphore

This interview analysis is sponsored by Uniphore 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.
final-updated-Approaching Life Sciences and Retail Challenges from a Data Perspective – with Alberto Rizolli of V7
Automation and robotics
Consumer goods
Conversion optimization
Healthcare
Customer analytics
Pharma
Data auditing
Professional services
Data collection
Retail
Data management
Retail
Demand generation
Document processing
Drug discovery
Generative AI
Industrial automation
Large language models
Large Language Models
Logistics
Marketing and advertising
model development
Natural Language Processing
Research and development
Supply chain management

Approaching Life Sciences and Retail Challenges from a Data Perspective – with Alberto Rizzoli of V7

Problems in different industries can look quite similar when looked at from the perspective of data. Though diverse business problems originate from distinct domains and needs, they often share a common thread and solution. 
AI at athenahealth@2x
"Clinical support
Healthcare
Automation and robotics
Healthcare services
Business intelligence and analytics
Customer analytics
Data analysis
Data auditing
Data collection
Data integration
Data management
Document processing
Generative AI
Knowledge management
Large language models
Natural Language Processing
Report generation
Search engine

Artificial Intelligence at athenahealth

Athenahealth is a private healthcare company specializing in providing network-powered health services and point-of-care mobile apps. The company’s products and services are designed primarily to enhance patient care, improve operational efficiency and streamline administrative processes.
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 Takeda@1x-min
Automation and robotics
Business intelligence and analytics
Data analysis
Data collection
Data management
Document processing
Drug discovery
Industrial automation
Logistics
Machine learning infrastructure
Predictive analytics and forecasting
Report generation
Research and development
Supply chain management

Artificial Intelligence at Takeda Pharmaceuticals

Takeda Pharmaceuticals is a 240-year-old, leading biopharmaceutical company headquartered in Tokyo, Japan, with a global hub in Cambridge, Massachusetts. The company has a global presence, operating in more than 80 countries across North America, Europe and Asia.
Improving Patient Experiences in Health Insurance Workflows@1x
"Clinical support
Alert messaging
Automation and robotics
Business intelligence and analytics
Case management
Claim management
Customer analytics
Customer experience
Customer service
Data analysis
Data collection
Data integration
Data management
Generative AI
Help desk
Intelligent assistant
Large language models
Large Language Models
Predictive analytics and forecasting
Process automation
Report generation
Search engine

Improving Patient Experiences in Health Insurance Workflows – with Shane Bray and John Thomas of Uniphore

This interview analysis is sponsored by Uniphore 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.
Generative AI Adoption Challenges From a Data Perspective – with Ted Kwartler of Data Robot and Tsavo Knott of Pieces@1x
Data auditing
Data collection
Data entry
Data integration
Data management
Employee engagement
Generative AI
Large Language Models
Legal research
Machine learning infrastructure
model development
Natural Language Processing
Process automation
Report generation
Research and development
Software development

Generative AI Adoption Challenges From a Data Perspective – with Ted Kwartler of Data Robot and Tsavo Knott of Pieces

This interview analysis is sponsored by Pieces 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.

Data collection

Data collection is the process of gathering and measuring information on targeted variables in an established systematic fashion, which then enables one to answer relevant questions and evaluate outcomes.