AI Articles and Analysis about Agentic Systems

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.
Preparing the Life Sciences Workforces for Agentic Systems
Agentic Systems
Healthcare
Generative AI
Pharma

Preparing the Life Sciences Workforces for Agentic Systems – with Chloë Domergue 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.
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.