AI Articles and Analysis about Market segmentation

Market segmentation is the process of dividing a broad consumer or business market, normally consisting of existing and potential customers, into sub-groups of consumers (known as segments) based on some type of shared characteristics.

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. 
Automation and Beyond
for Sales and Marketing
in Life Sciences-1
"Clinical support
Healthcare
Case management
Pharma
Case management
Claim management
Claim management
Customer analytics
Customer service
Emotion recognition
Enterprise resource planning
Generative AI
Market segmentation
Marketing and advertising
Marketing automation
model development

Automation and Beyond for Sales and Marketing in Life Sciences – with Mark Miller 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.
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.
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.
Playing Offense and Leveraging the Network Effect to Fight Retail Fraud@2x-min
Business intelligence and analytics
Customer analytics
Customer analytics
Data collection
Data management
Market segmentation
Predictive analytics and forecasting

Playing Offense and Leveraging the Network Effect to Fight Retail Fraud – with Asha Sharma of Instacart and Robert Bedetti of Riskified

This article is sponsored by Riskified, and was written, edited and published in alignment with our transparent Emerj sponsored content guidelines.
The advent of the COVID-19 pandemic is leaving retail and eCommerce enterprises awash in numerous, often chaotic trends, many of which are proving critical for driving AI adoption throughout the industry. Perhaps most prominent among these market dynamics is an enormous shift to online retail.
002 – What Artificial Intelligence Means for Retail – with Asha Sharma of Instacart
Data collection
Data entry
Data integration
E-commerce
Fraud protection
Market segmentation

What Artificial Intelligence Means for Retail – with Asha Sharma of Instacart

The COVID-19 pandemic fundamentally changed how consumers shop, driving more consumers than ever to transact online with traditionally brick-and-mortar retailers. While these economic forces have affected all retail, perhaps none was more profoundly disrupted than the grocery sector.
AI for Customer Experience-Focused Marketing – with David Greenberg of Conversica@2x-min
Business intelligence and analytics
Marketing
Conversion optimization
Customer analytics
Demand generation
Lead scoring
Market segmentation
Marketing and advertising
Marketing automation
Text analysis

AI for Customer Experience-Focused Marketing – with David Greenberg of Conversica

From work-from-home policies and digital-first communication with prospects – the COVID-19 pandemic dramatically accelerated many trends already in progress for businesses and consumers. Among sales teams, digitally enabling buyer journeys became a must-have almost overnight.