AI Articles and Analysis about Text analysis

Content analysis is a wide and heterogeneous set of manual or computer-assisted techniques for contextualized interpretations of documents produced by communication processes in the strict sense of that phrase (any kind of text, written, iconic, multimedia, etc.) or signification processes (traces and artifacts), having as ultimate goal the production of valid and trustworthy inferences.

Claims and Underwriting Trends in Personalized Insurance with AI – v.1-1
Business intelligence and analytics
Finance
Case management
Financial services
Claim management
Insurance
Claim management
Marketing
Compliance
Media
Customer analytics
Customer experience
Data analysis
Data auditing
Data collection
Data integration
Data management
E-commerce
Enterprise resource planning
Generative AI
Intelligent assistant
Investment
model development
Recommendations
Search engine
Search engine
Social network analysis
Text analysis
Utilization management

Claims and Underwriting Trends in Personalized Insurance with AI – with Kelly Cusick and Michael Cline 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. 
AI Communications Surveillance-1x min
Automation and robotics
Business intelligence and analytics
Cybersecurity
Data analysis
Data auditing
Data collection
Data integration
Data management
Defense
Fraud protection
Generative AI
Identity theft
Insider threats
Large Language Models
Large language models
model development
Natural Language Processing
Predictive analytics and forecasting
Security
Text analysis

AI for Communications Surveillance and Compliance – Two Use Cases

Communications surveillance in financial services involves both monitoring and analyzing electronic communications within a financial institution to prevent fraud, ensure regulatory compliance, identify and manage risks resulting from inappropriate activity, and maintain integrity in financial markets. 
Future of Drug Targeting – Lilly @2x-1-min
Business intelligence and analytics
Customer experience
Customer service
Data analysis
Data auditing
Data collection
Data entry
Data integration
Data management
Discovery
Drug discovery
Ediscovery
Knowledge management
Machine learning infrastructure
Process automation
Research and development
Text analysis

The Future of Drug Targeting and Clinical Development with Generative AI Tools – with Ramesh Durvasula of Eli Lilly

Lily is a pharmaceutical giant with a legacy dating back to its founding in 1876 by Colonel Eli Lilly. The company engages more than 9600 employees in research and development, with clinical research conducted in more than 55 countries. As of 2022, the company clocked a revenue of $28,541.4 million and made a net income of $6,244.8 million. 
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.
Managing Model Development@2x-1-min
Business intelligence and analytics
Data analysis
Data collection
Data management
Knowledge management
Text analysis

The Value of Topic Search in Detecting Signals with ROI – with Ben Webster of NLP Logix

In the era of big data, companies need help navigating through an overwhelming volume of unstructured data to uncover meaningful insights. The topic search process presents unique challenges in deciphering data signals and identifying critical information before problems escalate.
AI for Customer Experience-Focused Marketing – with David Greenberg of Conversica@2x-min
Business intelligence and analytics
Marketing
Conversion optimization
Customer analytics
Demand generation
Lead scoring
Market segmentation
Marketing and advertising
Marketing automation
Text analysis

AI for Customer Experience-Focused Marketing – with David Greenberg of Conversica

From work-from-home policies and digital-first communication with prospects – the COVID-19 pandemic dramatically accelerated many trends already in progress for businesses and consumers. Among sales teams, digitally enabling buyer journeys became a must-have almost overnight.