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.

Driving Immunology Workflows with AI Across Clinical Trials Processes in Drug Development@2x
"Clinical support
Healthcare
Business intelligence and analytics
Pharma
Case management
Claim management
Customer analytics
Customer service
Data analysis
Predictive analytics and forecasting
Report generation
Research and development

Driving Automated Workflows & Accelerating Drug Development with AI-Powered Trials – with Michelle Longmire of Medable

This interview analysis is sponsored by Medable 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.Although there is seemingly a constant stream of impressive headlines touting new drug treatments or potential cancer cures, medical breakthroughs occur at a slow pace. It can take upwards of 10 years from the time a medical breakthrough is discovered until it is eventually available in the market.Clinical trials are necessary to test the safety and effectiveness of new treatments. When clinical trials fail before they even start, medical breakthroughs are obviously delayed. Fortunately, the emergence of AI has the potential to change that situation. 
Lessons from Microsoft’s Responsible AI Journey-min
Agentic Systems
Software development
Business intelligence and analytics
Technology
Customer analytics
Cybersecurity
Data analysis
Data auditing
Data collection
Data integration
Data management
Generative AI
Machine learning infrastructure
Predictive analytics and forecasting
Research and development
Security
Software development

Lessons from Microsoft’s Responsible AI Journey – with Dean Carignan of Microsoft

This interview analysis is sponsored by OneTrust 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.
How Customer Effort Scores Reshape Financial Services Strategies@2x
Business intelligence and analytics
Finance
Case management
Financial services
Claim management
Customer analytics
Customer experience
Customer service
Data analysis
Help desk
Intelligent assistant
Predictive analytics and forecasting

How Customer Effort Scores Reshape Financial Services Strategies – with Kyle Hathorn of FNBO and Phil Gray of Interactions

This article is sponsored by Interactions 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.
Navigating
Global Procurement Challenges in Shipping
Business intelligence and analytics
Data analysis
Emergency management
Enterprise resource planning
Logistics
Predictive analytics and forecasting
Report generation
Risk management
Supply chain management
Utilization management

Navigating Global Procurement Challenges in Shipping – with Paulo Ruy of A.P. Moller – Maersk

Faced with challenges surrounding growing geopolitical tensions, the global shipping and procurement industry is grappling with unprecedented challenges that are reshaping traditional logistics frameworks. 
Future Vision Highlight_ Integrated CX in Financial Services for GenAI at Scale-min
Agentic Systems
Finance
Business intelligence and analytics
Financial services
Claim management
Customer analytics
Customer experience
Customer service
Enterprise resource planning
Generative AI
Large Language Models
Predictive analytics and forecasting

Future Vision Highlight: Integrated CX in Financial Services for GenAI at Scale – from Shankar Ramanathan at Capgemini

In a global economy where customer experience (CX) is the ultimate competitive battleground for so many sectors, businesses across industries face  daunting challenges in scaling CX solutions effectively. Despite massive investments in customer service technologies, many companies need help to deliver consistent, personalized support that meets user expectations, leading to frustration, lost revenue, and damaged reputations.
Artificial Intelligence at Geico-2x-3-min
Business intelligence and analytics
Finance
Claim management
Insurance
Claim management
Customer service
Data auditing
Data collection
Data integration
Data management
Enterprise resource planning
Predictive analytics and forecasting

Artificial Intelligence at American Family Insurance Group – Two Use Cases

American Family Insurance Group, founded in 1927, began as Farmers Mutual Insurance Company in Madison, Wisconsin, targeting farmers with auto insurance. Over the decades, it expanded its offerings and changed its name to American Family Mutual Insurance Company in 1963. As per the financials published by the company, it made $17.1 billion in revenue in 2023, up from $14.4 billion in 2022. 
Driving Synergies Between Software Development and Data Science Teams in the Analytics Space-min
Business intelligence and analytics
Logistics
Predictive analytics and forecasting
Supply chain management

Driving Synergies Between Software Development and Data Science Teams in the Analytics Space – with Yigal Edery of Sisense and Tsavo Knott of Pieces

This article is sponsored by Pieces 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.
CX Challenges Across Media Spaces – with Chloe Rice of Shutterstock and Peter Mullen of Interactions@2x (2)
Business intelligence and analytics
Consumer goods
Claim management
Retail
Customer analytics
Customer experience
Customer service
Data analysis
Predictive analytics and forecasting

CX Challenges Across eCommerce and Retail Spaces – with Chloe Rice of Shutterstock and Peter Mullen of Interactions

This article is sponsored by Interactions 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.