AI Articles and Analysis about Predictive analytics and forecasting

Predictive analytics encompasses a variety of statistical techniques from predictive modeling, machine learning, and data mining that analyze current and historical facts to make predictions about future or otherwise unknown events.

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. 
Innovation and Storytelling in Real Estate
Business intelligence and analytics
Finance
Case management
Real estate
Claim management
Customer analytics
Customer experience
Customer service
Data analysis
Data auditing
Data collection
Data integration
Data management
Predictive analytics and forecasting
Report generation
Social network analysis

Innovation and Storytelling in Real Estate – with John D’Angelo 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.
AI and B2B Customer Journey Signals – with Carlos Quezada of Hewlett Packard Enterprises@1x-min
Business intelligence and analytics
Agribusiness
Case management
Automotive
Claim management
Aviation
Customer analytics
Chemicals
Customer experience
Electronics
Customer service
Heavy industry
Data analysis
Manufacturing
Data auditing
Mining
Data collection
Natural resources
Data integration
Oil & gas
Data management
Rail transport
Emergency management
Transportation
Intelligent assistant
Knowledge management
Logistics
Predictive analytics and forecasting
Supply chain management

AI and B2b Customer Journey Signals – with Carlos Quezada of Hewlett Packard Enterprises

Companies that use AI copilots experience numerous benefits, including streamlined processes, improved customer experience, and cost savings. Large language models (LLMs) form the basis of many AI copilot applications. While LLMs have a remarkable capacity to generate humanlike text, that same capability is the reason businesses need to exercise caution in order to prevent misapplications of this otherwise transformative technology. 
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. 
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.
AI at Takeda@1x-min
Automation and robotics
Business intelligence and analytics
Data analysis
Data collection
Data management
Document processing
Drug discovery
Industrial automation
Logistics
Machine learning infrastructure
Predictive analytics and forecasting
Report generation
Research and development
Supply chain management

Artificial Intelligence at Takeda Pharmaceuticals

Takeda Pharmaceuticals is a 240-year-old, leading biopharmaceutical company headquartered in Tokyo, Japan, with a global hub in Cambridge, Massachusetts. The company has a global presence, operating in more than 80 countries across North America, Europe and Asia.
Improving Patient Experiences in Health Insurance Workflows@1x
"Clinical support
Alert messaging
Automation and robotics
Business intelligence and analytics
Case management
Claim management
Customer analytics
Customer experience
Customer service
Data analysis
Data collection
Data integration
Data management
Generative AI
Help desk
Intelligent assistant
Large language models
Large Language Models
Predictive analytics and forecasting
Process automation
Report generation
Search engine

Improving Patient Experiences in Health Insurance Workflows – with Shane Bray 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.

Predictive analytics and forecasting

Predictive analytics encompasses a variety of statistical techniques from predictive modeling, machine learning, and data mining that analyze current and historical facts to make predictions about future or otherwise unknown events.