AI Articles and Analysis about Customer analytics

Customer analytics is a process by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics.

Driving Patient Access and Decreasing Tech Debt in Healthcare with AI-1-min
"Clinical support
Healthcare
Business intelligence and analytics
Healthcare services
Case management
Claim management
Customer analytics
Customer experience
Customer service
Data analysis
Data auditing
Data collection
Data integration
Data management
Knowledge management
Predictive analytics and forecasting

Driving Patient Access and Decreasing Tech Debt in Healthcare with AI – with Aaron Chamberlain of Intermountain Health

Headquartered in Salt Lake City, Utah, Intermountain Health is a not-for-profit healthcare system comprised of 385 clinics and 33 hospitals dedicated to creating healthier communities and helping patients thrive. Intermountain Health merged with SCL Health in 2022 and now employs more than 58,000 people. They serve patients in Kansas, Colorado, Utah, Nevada, Wyoming, Idaho, and Montana.
Multichannel Customer Journeys in Financial Services-1
Business intelligence and analytics
Finance
Case management
Financial services
Claim management
Insurance
Customer analytics
Customer experience
Customer service
Data analysis
Data auditing
Data collection
Data integration
Data management
Generative AI
Help desk
Intelligent assistant
Large Language Models
model development
Natural Language Processing
Predictive analytics and forecasting

Multichannel Customer Journeys in Financial Services – with Anuj Maniar of Deloitte

This interview analysis is sponsored by Deloitte 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.
Artificial Intelligence at Northwestern Mutual@1x-min
Business intelligence and analytics
Finance
Customer analytics
Financial services
Data analysis
Insurance
Generative AI
model development
Predictive analytics and forecasting
Report generation
Social network analysis

Artificial Intelligence at Northwestern Mutual

Northwestern Mutual is an insurance and financial planning firm operating in the USA. The company reported nearly $35 billion in revenue and a surplus of over $37 billion in 2022. It also surpassed five million clients across its product lines, including life insurance, disability insurance, long-term care insurance, annuities, and wealth management. 
Solving Insurance Inefficiencies with AI – v.1-1
Business intelligence and analytics
Finance
Case management
Insurance
Claim management
Customer analytics
Customer experience
Customer service
Data analysis
Data auditing
Data collection
Data integration
Data management
Generative AI
Help desk
Intelligent assistant
Large Language Models
model development
Predictive analytics and forecasting

Solving Insurance Inefficiencies with AI – with Sandee Suhrada and Karl Hersch of Deloitte

This interview analysis is sponsored by Deloitte 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 for Insurance, Insurance for AI – with Edosa Odaro of Tawuniya@1x-min
Business intelligence and analytics
Finance
Case management
Insurance
Case management
Claim management
Claim management
Compliance
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
Large Language Models
Predictive analytics and forecasting

AI for Insurance, Insurance for AI – With Edosa Odaro of Tawuniya

AI and machine learning are propelling the insurance sector forward – willingly or unwillingly – while offering organizations the ability to make substantial improvements. The technologies can help to enhance customer service, claims processing, fraud detection, and much more. They also potentially transform underwriting, risk assessment, and personalized pricing.
AI Opportunities for
Life Sciences R&D-1
"Clinical support
Healthcare
Automation and robotics
Pharma
Business intelligence and analytics
Claim management
Compliance
Customer analytics
Customer analytics
Data analysis
Data auditing
Data collection
Data integration
Data management
Discovery
Drug discovery
Enterprise resource planning
Generative AI
Large language models
Large Language Models
Marketing and advertising
Predictive analytics and forecasting
Research and development
Risk management

AI Opportunities for Life Sciences R&D – with Andrew Bolt of Deloitte

This interview analysis is sponsored by Deloitte 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.
Claims and Underwriting Trends in Personalized Insurance with AI – v.1-1
Business intelligence and analytics
Finance
Case management
Financial services
Claim management
Insurance
Claim management
Marketing
Compliance
Media
Customer analytics
Customer experience
Data analysis
Data auditing
Data collection
Data integration
Data management
E-commerce
Enterprise resource planning
Generative AI
Intelligent assistant
Investment
model development
Recommendations
Search engine
Search engine
Social network analysis
Text analysis
Utilization management

Claims and Underwriting Trends in Personalized Insurance with AI – with Kelly Cusick and Michael Cline of Deloitte

This interview analysis is sponsored by Deloitte 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.
02 – Streamlining Data-Driven Decision-Making in Customer Experiences
for Financial Services@1x-min
Business intelligence and analytics
Finance
Case management
Financial services
Claim management
Insurance
Claim management
Marketing
Compliance
Media
Customer analytics
Customer experience
Customer service
Data analysis
E-commerce
Enterprise resource planning
Generative AI
Intelligent assistant
Investment
Large Language Models
model development
Recommendations
Report generation
Risk management

Streamlining Data-Driven Decision-Making in Customer Experiences for Financial Services – with Ciprian Porutiu of Marsh McLennan and Mike Borrelli 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.

Customer analytics

Customer analytics is a process by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics.