AI Articles and Analysis about Data integration

Data integration involves combining data residing in different sources and providing users with a unified view of these data.

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.
AI Opportunities for
Life Sciences R&D-1
"Clinical support
Healthcare
Automation and robotics
Pharma
Business intelligence and analytics
Claim management
Compliance
Customer analytics
Customer analytics
Data analysis
Data auditing
Data collection
Data integration
Data management
Discovery
Drug discovery
Enterprise resource planning
Generative AI
Large language models
Large Language Models
Marketing and advertising
Predictive analytics and forecasting
Research and development
Risk management

AI Opportunities for Life Sciences R&D – with Andrew Bolt 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.
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.
01 – Building Trust in Data Science in Life Sciences@1x-min
Case management
Chemicals
Case management
Healthcare
Claim management
Heavy industry
Claim management
Manufacturing
Data analysis
Pharma
Data auditing
Data collection
Data integration
Data management
Enterprise resource planning
Generative AI
Help desk
Hiring
HR
model development
Predictive analytics and forecasting
Skills ID

Building Trust in Data Science in Life Sciences – Bikalpa Neupane of Takeda Pharmaceuticals

AI and data science have seen increased use in life sciences, particularly in the pharmaceutical industry. However, despite the multitude of AI use cases, pharmaceutical companies tend not to embrace every emerging AI trend eagerly. 
Developing a Product Mindset in the AI-Driven Enterprise – v.1-min
Claim management
Claim management
Customer service
Data analysis
Data auditing
Data collection
Data integration
Data management
Enterprise resource planning
Generative AI
Large language models
model development

Developing a Product Mindset in the AI-Driven Enterprise – with Jennifer Bradshaw and Arash Kamiar at NLP Logix

This interview analysis is sponsored by NLP Logix 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.
The Implications of Generative AI on Investment Banking – v.1
Business intelligence and analytics
Finance
Compliance
Financial services
Customer analytics
Government
Data analysis
Law enforcement
Data auditing
Data collection
Data integration
Data management
Enterprise resource planning
Generative AI
Investment
Large Language Models
Risk management

The Implications of Generative AI on Investment Banking – with Andrea Haskell and Val Srinivas 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.
Innovation and Storytelling in Real Estate
Business intelligence and analytics
Finance
Case management
Real estate
Claim management
Customer analytics
Customer experience
Customer service
Data analysis
Data auditing
Data collection
Data integration
Data management
Predictive analytics and forecasting
Report generation
Social network analysis

Innovation and Storytelling in Real Estate – with John D’Angelo 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 and B2B Customer Journey Signals – with Carlos Quezada of Hewlett Packard Enterprises@1x-min
Business intelligence and analytics
Agribusiness
Case management
Automotive
Claim management
Aviation
Customer analytics
Chemicals
Customer experience
Electronics
Customer service
Heavy industry
Data analysis
Manufacturing
Data auditing
Mining
Data collection
Natural resources
Data integration
Oil & gas
Data management
Rail transport
Emergency management
Transportation
Intelligent assistant
Knowledge management
Logistics
Predictive analytics and forecasting
Supply chain management

AI and B2b Customer Journey Signals – with Carlos Quezada of Hewlett Packard Enterprises

Companies that use AI copilots experience numerous benefits, including streamlined processes, improved customer experience, and cost savings. Large language models (LLMs) form the basis of many AI copilot applications. While LLMs have a remarkable capacity to generate humanlike text, that same capability is the reason businesses need to exercise caution in order to prevent misapplications of this otherwise transformative technology. 

Data integration

Data integration involves combining data residing in different sources and providing users with a unified view of these data.