AI Articles and Analysis about Knowledge management

Knowledge management (KM) is the process of creating, sharing, using and managing the knowledge and information of an organization.

Understanding AI’s Expanding Role in Drug Discovery and Life Sciences R&D-min
Data auditing
Healthcare
Data collection
Pharma
Data integration
Data management
Drug discovery
Knowledge management
Research and development

Understanding AI’s Expanding Role in Drug Discovery and Life Sciences R&D – Liran Belenzon of BenchSci

This interview analysis is sponsored by BenchSci 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.
Generative AI as a Catalyst for Enterprise Innovation_1x
Agentic Systems
Finance
Automation and robotics
Financial services
Business intelligence and analytics
Content Creation
Data auditing
Data collection
Data entry
Data integration
Data management
Document processing
Generative AI
Knowledge management
Large language models
Large Language Models
Machine learning infrastructure
model development
Predictive analytics and forecasting
Process automation
Report generation
Research and development
Training and development

Generative AI as a Catalyst for Enterprise Innovation – with Deborah Golden of Deloitte

Large enterprises' swift adoption of generative AI (GenAI) is driven by the quest for cost reduction and operational efficiency—but leaders risk falling behind competitors if these short-term gains stagnate without long-term innovation capabilities.
Overcoming Barriers to AI Adoption in Telecom and Beyond-min
Data auditing
Media
Data collection
Telecom
Data integration
Data management
Knowledge management

Overcoming Barriers to AI Adoption in Telecom and Beyond – with Moutie Wali of Telus

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.
Artificial Intelligence at Geico-2x-2-min
Data auditing
Healthcare
Data collection
Pharma
Data integration
Data management
Knowledge management
Logistics
Supply chain management

Artificial Intelligence at Johnson & Johnson

In 2020, we wrote about the early but fertile stage of AI development at Johnson and Johnson. Since then, the COVID-19 pandemic and improvements to machine learning have forced important changes in how J&J is using artificial intelligence. 
Solving Workforce and Workflow Challenges in Field Services with Tribal Knowledge-min
Claim management
Field Services
Customer service
Heavy industry
Data auditing
Data collection
Data integration
Data management
Generative AI
Knowledge management
model development
Tribal Knowledge

Solving Workforce and Workflow Challenges in Field Services with Tribal Knowledge – with Experts from Aquant, ABB, Atlas Copco, Illumina, and Tetra Pak

This interview analysis is sponsored by Aquant 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.
Cultivating ‘Value Driven Data’ in Insurance-1-min
Business intelligence and analytics
Finance
Data auditing
Insurance
Data collection
Data integration
Data management
Knowledge management

Cultivating ‘Value Driven Data’ in Insurance – with Edosa Odaro of Tawuniya

Business processes are defined in large part by the data within an organization. Value-driven data, by definition, represents higher-quality data. The importance of high-quality data cannot be overlooked. Research from MIT, even from before the pandemic AI boom, showed that insufficient data can cost as much as 25% of the revenue for most companies.
The Market and Tech Forces Shaping the Future of Software Development-1
Data auditing
Consumer goods
Data collection
Tech
Data integration
Data management
Generative AI
Hiring
HR
Knowledge management
large language models
Large Language Models
model development

The Market and Tech Forces Shaping the Future of Software Development – with 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.
Easing Patient Pain Points Between Healthcare and Insurance Workflows – v.3-1-min
"Clinical support
Healthcare
Attendance
Healthcare services
Business intelligence and analytics
Marketing
Case management
Media
Claim management
Pharma
Conversion optimization
Cross-device tracking
Customer analytics
Customer analytics
Customer experience
Customer service
Data analysis
Data auditing
Data collection
Data integration
Data management
Help desk
Intelligent assistant
Knowledge management
Market segmentation
Marketing and advertising
Marketing automation
Predictive analytics and forecasting
Report generation

Easing Patient Pain Points Between Healthcare and Insurance Workflows – with Tom Hayes and Gareth Dabbs of IQVIA

The applications of AI in the healthcare and life sciences industries are vast, with data-powered algorithms and analytics promising to upend the status quo. Applications, including the use of AI to interpret medical imaging, optimize drug discovery and development, analyze large-scale data sets to identify patterns among patient populations, and streamline provider workflows, are already transforming the industry. 

Knowledge management

Knowledge management (KM) is the process of creating, sharing, using and managing the knowledge and information of an organization.