AI Articles and Analysis about Generative AI

enAI Use Cases for Insurance, from Marketing to Copilots-1-min
Customer analytics
Finance
Cybersecurity
Insurance
Fraud protection
Generative AI
Large Language Models
Market segmentation
Marketing and advertising
Marketing automation
Natural Language Processing
Security

Generative AI Use Cases for Insurance, from Marketing to Copilots – with John Almasan of TIAA

As new generative AI use cases continue to reshape the enterprise landscape across the global economy, many sectors are still weathering significant risks to keep pace with the adoption hype. Deloitte's "State of Generative AI in the Enterprise 2024" report found that 79% of respondents expect generative AI to transform their organizations within three years. However, companies must approach these investments cautiously with a focus on responsible implementation. 
Essentials of Deploying Large Language Models in the Enterprise – v.2-1-min
Generative AI
Large Language Models
model development
Natural Language Processing
Text-to-image

Essentials of Deploying Large Language Models in the Enterprise – with Anton Kornienko and Ben Webster of NLP Logix

Deploying large language models (LLMs) in an enterprise setting requires management teams to adopt a strategic approach tailor-made for their organizations, which research consistently shows must consider various essential factors. 
The Future of IT in Life Sciences-1
Automation and robotics
Chemicals
Generative AI
Healthcare
Hiring
Heavy industry
HR
Pharma
Large Language Models
Large language models
Skills ID

The Future of IT in Life Sciences – with Steven Zhang 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.
Multichannel Customer Journeys in Financial Services-1
Business intelligence and analytics
Finance
Case management
Financial services
Claim management
Insurance
Customer analytics
Customer experience
Customer service
Data analysis
Data auditing
Data collection
Data integration
Data management
Generative AI
Help desk
Intelligent assistant
Large Language Models
model development
Natural Language Processing
Predictive analytics and forecasting

Multichannel Customer Journeys in Financial Services – with Anuj Maniar 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 Northwestern Mutual@1x-min
Business intelligence and analytics
Finance
Customer analytics
Financial services
Data analysis
Insurance
Generative AI
model development
Predictive analytics and forecasting
Report generation
Social network analysis

Artificial Intelligence at Northwestern Mutual

Northwestern Mutual is an insurance and financial planning firm operating in the USA. The company reported nearly $35 billion in revenue and a surplus of over $37 billion in 2022. It also surpassed five million clients across its product lines, including life insurance, disability insurance, long-term care insurance, annuities, and wealth management. 
Solving Insurance Inefficiencies with AI – v.1-1
Business intelligence and analytics
Finance
Case management
Insurance
Claim management
Customer analytics
Customer experience
Customer service
Data analysis
Data auditing
Data collection
Data integration
Data management
Generative AI
Help desk
Intelligent assistant
Large Language Models
model development
Predictive analytics and forecasting

Solving Insurance Inefficiencies with AI – with Sandee Suhrada and Karl Hersch 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 for Insurance, Insurance for AI – with Edosa Odaro of Tawuniya@1x-min
Business intelligence and analytics
Finance
Case management
Insurance
Case management
Claim management
Claim management
Compliance
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
Large Language Models
Predictive analytics and forecasting

AI for Insurance, Insurance for AI – With Edosa Odaro of Tawuniya

AI and machine learning are propelling the insurance sector forward – willingly or unwillingly – while offering organizations the ability to make substantial improvements. The technologies can help to enhance customer service, claims processing, fraud detection, and much more. They also potentially transform underwriting, risk assessment, and personalized pricing.
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.