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.

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.
The Implications of Generative AI on Investment Banking – v.1
Business intelligence and analytics
Finance
Compliance
Financial services
Customer analytics
Government
Data analysis
Law enforcement
Data auditing
Data collection
Data integration
Data management
Enterprise resource planning
Generative AI
Investment
Large Language Models
Risk management

The Implications of Generative AI on Investment Banking – with Andrea Haskell and Val Srinivas 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.
Innovation and Storytelling in Real Estate
Business intelligence and analytics
Finance
Case management
Real estate
Claim management
Customer analytics
Customer experience
Customer service
Data analysis
Data auditing
Data collection
Data integration
Data management
Predictive analytics and forecasting
Report generation
Social network analysis

Innovation and Storytelling in Real Estate – with John D’Angelo 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 and B2B Customer Journey Signals – with Carlos Quezada of Hewlett Packard Enterprises@1x-min
Business intelligence and analytics
Agribusiness
Case management
Automotive
Claim management
Aviation
Customer analytics
Chemicals
Customer experience
Electronics
Customer service
Heavy industry
Data analysis
Manufacturing
Data auditing
Mining
Data collection
Natural resources
Data integration
Oil & gas
Data management
Rail transport
Emergency management
Transportation
Intelligent assistant
Knowledge management
Logistics
Predictive analytics and forecasting
Supply chain management

AI and B2b Customer Journey Signals – with Carlos Quezada of Hewlett Packard Enterprises

Companies that use AI copilots experience numerous benefits, including streamlined processes, improved customer experience, and cost savings. Large language models (LLMs) form the basis of many AI copilot applications. While LLMs have a remarkable capacity to generate humanlike text, that same capability is the reason businesses need to exercise caution in order to prevent misapplications of this otherwise transformative technology. 
Artificial Intelligence at IQVIA@1x-min
Business intelligence and analytics
Healthcare
Case management
Healthcare services
Claim management
Healthcare services
Customer analytics
Pharma
Customer experience
Professional services
Customer service
Data analysis
Data auditing
Data collection
Data integration
Data management
Help desk
Hiring
HR
Intelligent assistant
Large language models
Predictive analytics and forecasting
Report generation
Skills ID
Text analysis

Artificial Intelligence at IQVIA

IQVIA is a Fortune 500 health information technology (HIT) and clinical research company that provides advanced analytics, technology solutions, and clinical research services for various healthcare stakeholders. 
Artificial Intelligence at Procter & Gamble@2x-min
Business intelligence and analytics
Chemicals
Claim management
Consumer goods
Customer analytics
Heavy industry
Customer experience
Manufacturing
Customer service
Retail
Data analysis
Data auditing
Data collection
Data integration
Data management
Generative AI
Help desk
Large Language Models
Logistics
model development
Supply chain management

Artificial Intelligence at Procter & Gamble

Procter and Gamble (P&G) is an American multinational goods corporation. The company is well known for its fabric & home care, family care, beauty, healthcare, and grooming products. P&G owns several of the most well-known brand names in the world, including Pampers, Tide, Gillette, Always, Head & Shoulders, and many more. 
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.

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.