AI Articles and Analysis in Retail

Driving Personal Relationships in F&B Procurement-min
Business intelligence and analytics
Consumer goods
Generative AI
Retail
model development
Predictive analytics and forecasting

Driving Analytics Efficiencies and Insights in F&B Procurement – with Hal Gerson of Fresh Del Monte and Edmund Zagorin of Arkestro

 This interview analysis is sponsored by Arkestro 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 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.
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. 
Retail Fraud & Loss Prevention in Data, Brick-and-Mortar and Beyond – with Chris Nelson of Gap Inc.@2x-min
Customer analytics
Consumer goods
Data analysis
Retail
Data auditing
Data collection
Data management
E-commerce
Fraud protection
Fraud protection
Large language models

Retail Fraud & Loss Prevention in Data, Brick-and-Mortar and Beyond – with Chris Nelson of Gap Inc.

Retail fraud and loss prevention have always been significant business concerns impacting profitability and customer trust. However, with the emergence of AI technologies, there is a newfound potential to combat these challenges more effectively. 
Fighting Retail Fraud with Personalization and Classification AI Tools@2x-min (2)
Business intelligence and analytics
Consumer goods
Customer analytics
Professional services
Data analysis
Retail
Data collection
Retail
Data integration
Data management
E-commerce
Fraud protection
Knowledge management
Predictive analytics and forecasting
Recommendations
Search engine optimization

Fighting Retail Fraud with Personalization and Classification AI Tools – with Experts from Instacart, Etsy, and Gap Inc.

This article is sponsored by Riskified, and was written, edited and published in alignment with our transparent Emerj sponsored content guidelines.
AI at Nvidia 950×540
Business intelligence and analytics
Consumer goods
Marketing and advertising
Electronics
Retail
Tech

Artificial Intelligence at Nvidia – Two Current Use Cases

NVIDIA is a multinational company known for its computing hardware, especially its graphics processing units (GPUs) and systems on chip units (SoCs) for mobile devices. The company went public on January 22, 1999.
AI at Intel 950×540
Business intelligence and analytics
Consumer goods
Retail
Tech

Artificial Intelligence at Intel – Three Current Applications

Intel was founded in 1968 by Robert Noyce and Gordon Moore, who had previously been among the founders of Fairchild Semiconductors. Today, Intel employs over 121,000 people worldwide. In its 2021 annual report, the company reported revenues of $79 billion. As of 2022, Intel trades on the Nasdaq (Symbol: INTC) with a market cap that exceeds $178 billion.