AI Articles and Analysis about Large Language Models

Reducing Hallucinations and Streamlining Drug Discovery Workflows with Generative AI@1x
Business intelligence and analytics
Chemicals
Claim management
Healthcare
Customer service
Heavy industry
Data analysis
Manufacturing
Data auditing
Pharma
Data collection
Data integration
Data management
Generative AI
Large Language Models
Predictive analytics and forecasting

Reducing Hallucinations and Streamlining Drug Discovery Workflows with Generative AI – with Asif Hasan of Quantiphi

This interview analysis is sponsored by Quantiphi 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 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.
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.
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.
UNICRI on responsible AI criteria and other tool kits@2x-min
Cybersecurity
Government
Emergency management
Law enforcement
Generative AI
Intelligence
Large Language Models
Logistics
Machine learning infrastructure
model development
Natural Language Processing
Research and development
Security
Software development

UNICRI-Approved Responsible AI Toolkits for Law Enforcement

The United Nations Interregional Crime and Justice Research Institute (UNICRI) was established in 1968 as an autonomous institution in response to a United Nations resolution urging expanded crime prevention and criminal justice activities. UNICRI's mission is to advance justice, crime prevention, security, and the rule of law to support peace, human rights, and sustainable development. 
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.