AI Articles and Analysis in Pharma

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.
01 – Building Trust in Data Science in Life Sciences@1x-min
Case management
Chemicals
Case management
Healthcare
Claim management
Heavy industry
Claim management
Manufacturing
Data analysis
Pharma
Data auditing
Data collection
Data integration
Data management
Enterprise resource planning
Generative AI
Help desk
Hiring
HR
model development
Predictive analytics and forecasting
Skills ID

Building Trust in Data Science in Life Sciences – Bikalpa Neupane of Takeda Pharmaceuticals

AI and data science have seen increased use in life sciences, particularly in the pharmaceutical industry. However, despite the multitude of AI use cases, pharmaceutical companies tend not to embrace every emerging AI trend eagerly. 
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.
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. 
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.