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.

AI at McKesson@2x-min
Automation and robotics
Business intelligence and analytics
Case management
Claim management
Customer analytics
Customer experience
Customer service
Data analysis
Data collection
Data entry
Data management
Drug discovery
Industrial automation
Industrial control system
Intelligent assistant
Knowledge management
Predictive analytics and forecasting
Process automation
Report generation
Research and development

Artificial Intelligence at McKesson – Three Use Cases

Founded in 1833 and headquartered in Irving, Texas, since 2019, McKesson is a leading distributor of pharmaceuticals and medical supplies. They also provide health information technology and care management tools.
Solving Logistics Challenges with AI – with Dr. Yossi Sheffi of MIT@2x-min (1)
Automation and robotics
Business intelligence and analytics
Case management
Customer service
Data auditing
Data collection
Data integration
Data management
Industrial automation
Industrial control system
Intelligent assistant
Knowledge management
Predictive analytics and forecasting
Social network analysis

Solving Logistics Challenges with AI – with Dr. Yossi Sheffi of MIT

AI is driving change across many industries, including logistics and manufacturing. Companies need to strike the right balance between automation and human intervention. This interaction represents a specific area of study known as human-automation interaction. 
The Impact of AI on Drug Target Discovery and the Personalization of Healthcare – with Leo Barella of Takeda@2x-min
"Clinical support
Case management
Claim management
Claim management
Customer analytics
Customer service
Data analysis
Data collection
Data management
Enterprise resource planning
Predictive analytics and forecasting

The Impact of AI on Drug Target Discovery and the Personalization of Healthcare – with Leo Barella of Takeda

AI has profound implications for drug discovery, ushering in a new era of innovation and efficiency. Recent milestones - such as the first AI-designed drug molecule to enter human clinical trials and the prediction of protein structures for millions of proteins - showcase the transformative power of AI in this domain.
AI at Cigna@2x-min
Business intelligence and analytics
Customer analytics
Customer experience
Customer service
Data analysis
Data collection
Data integration
Data management
E-commerce
Predictive analytics and forecasting
Recommendations

Artificial Intelligence at Cigna – Four Use Cases

Founded in 1982, Cigna is a healthcare and insurance company based in Bloomfield, Connecticut. Cigna is a Fortune 15 global company and employs over 70,000 individuals. Cigna offers health, life, and accident insurance. They also offer Medicare and Medicaid products.
AI at Morgan Stanley@2x-min
Business intelligence and analytics
Finance
Case management
Financial services
Claim management
Professional services
Customer analytics
Customer experience
Customer service
Data analysis
Data auditing
Data collection
Data integration
Data management
Intelligent assistant
Knowledge management
Predictive analytics and forecasting
Report generation
Text analysis

Artificial Intelligence at Morgan Stanley – Three Use Cases

Morgan Stanley was founded in 1935 and is headquartered in New York City. They are an American multinational investment bank and financial services company recognized as a leader in wealth management. With over $1.19 billion in assets, Morgan Stanley is among the top 15 biggest banks in the world.
AI at Bosch@1x-min
Data analysis
Chemicals
Data auditing
Electronics
Data collection
Heavy industry
Data integration
Manufacturing
Industrial automation
Industrial control system
Knowledge management
Laboratory automation
Machine learning infrastructure
Predictive analytics and forecasting

Artificial Intelligence at Bosch

Bosch is a German multinational technology and engineering company headquartered in Gerlingen, Germany. Bosch manufactures products across various industries, including aerospace, automotive, energy and utilities, healthcare and others.
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.

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.