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 Adoption in Storytelling and Procurement – v.1-1-min
Business intelligence and analytics
Agribusiness
Case management
Chemicals
Claim management
Electronics
Customer service
Heavy industry
Data analysis
Manufacturing
Emergency management
Mining
Logistics
Natural resources
Predictive analytics and forecasting
Oil & gas
Supply chain management
Transportation

AI Adoption in Storytelling and Procurement – with Edmund Zagorin of Arkestro and Len DeCandia of Johnson & Johnson

This interview analysis is sponsored by Arkestro 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.
Overcoming Cultural and Technological Hurdles for AI Integration in Life Sciences-1-min
Business intelligence and analytics
Healthcare
Customer analytics
Pharma
Data analysis
Data auditing
Data collection
Data integration
Data management
Discovery
Drug discovery
Generative AI
Knowledge management
Large Language Models
model development
Natural Language Processing
Predictive analytics and forecasting
Research and development

Overcoming Cultural and Technological Hurdles for AI Integration in Life Sciences – with Daniel Ferrante of Deloitte

Far beyond surface-level 'chatbot' software, and other customer-facing support systems, the same generative AI (GenAI) capabilities having direct impacts across language workflows in front-office tasks in financial and legal services is also having a direct impact on how research teams in the life sciences space are targeting solutions for rare diseases and novel treatments. 
Driving Patient Access and Decreasing Tech Debt in Healthcare with AI-1-min
"Clinical support
Healthcare
Business intelligence and analytics
Healthcare services
Case management
Claim management
Customer analytics
Customer experience
Customer service
Data analysis
Data auditing
Data collection
Data integration
Data management
Knowledge management
Predictive analytics and forecasting

Driving Patient Access and Decreasing Tech Debt in Healthcare with AI – with Aaron Chamberlain of Intermountain Health

Headquartered in Salt Lake City, Utah, Intermountain Health is a not-for-profit healthcare system comprised of 385 clinics and 33 hospitals dedicated to creating healthier communities and helping patients thrive. Intermountain Health merged with SCL Health in 2022 and now employs more than 58,000 people. They serve patients in Kansas, Colorado, Utah, Nevada, Wyoming, Idaho, and Montana.
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.

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.