AI Articles and Analysis about Report generation

A report generator is a computer program whose purpose is to take data from a source such as a database, XML stream or a spreadsheet, and use it to produce a document in a format which satisfies a particular human readership.

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. 
AI at athenahealth@2x
"Clinical support
Healthcare
Automation and robotics
Healthcare services
Business intelligence and analytics
Customer analytics
Data analysis
Data auditing
Data collection
Data integration
Data management
Document processing
Generative AI
Knowledge management
Large language models
Natural Language Processing
Report generation
Search engine

Artificial Intelligence at athenahealth

Athenahealth is a private healthcare company specializing in providing network-powered health services and point-of-care mobile apps. The company’s products and services are designed primarily to enhance patient care, improve operational efficiency and streamline administrative processes.
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.
Machine Learning and Large Language Models in Healthcare – with Dr. Arta Bakshandeh of Alignment Health@1x
"Clinical support
Healthcare
Business intelligence and analytics
Healthcare services
Claim management
Compliance
Customer analytics
Data analysis
Data auditing
Data collection
Data integration
Data management
Enterprise resource planning
Generative AI
Knowledge management
Large Language Models
model development
Predictive analytics and forecasting
Report generation

Machine Learning and Large Language Models in Healthcare – with Dr. Arta Bakshandeh of Alignment Health

AI and machine learning have promising potential in the field of healthcare. However, there is one significant hurdle healthcare companies often encounter when trying to implement AI and machine learning. The data architecture of current legacy systems in healthcare settings prevents implementing many use cases and limits a company’s ability to benefit from these technologies fully.
The Essentials of Wireless Technology Infrastructure for Automotive Manufacturers – with Don McGuire of Qualcomm@2x-min
Automation and robotics
Business intelligence and analytics
Customer analytics
Customer experience
Customer service
Data analysis
Data auditing
Data collection
Data entry
Data integration
Data management
Industrial automation
Knowledge management
Predictive analytics and forecasting
Process automation
Report generation

The Essentials of Wireless Technology Infrastructure for Automotive Manufacturers – with Don McGuire of Qualcomm

Due to technological advancements, automakers are uniquely positioned to benefit from an industry-wide transformation. Technology now allows a direct connection between car manufacturers and the customers who purchase those cars. Such a relationship has never before been possible in the history of the automotive industry.
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.
OECD-Approved AI Tools and Resources for Financial Services@2x
Business intelligence and analytics
Case management
Compliance
Customer analytics
Data analysis
Data auditing
Data collection
Data integration
Data management
Enterprise resource planning
Knowledge management
Predictive analytics and forecasting
Report generation
Text analysis

OECD-Approved AI Tools and Resources for Financial Services

The OECD.AI Policy Observatory is an inclusive platform that brings together resources and expertise from the OECD and its partners to facilitate dialogue and provide evidence-based policy analysis on the impact of AI. It is built upon the foundation of the OECD AI Principles, the first intergovernmental standard on AI adopted in 2019, endorsed by OECD countries and partner economies.