AWS Partner Network (APN) Blog
Category: HAQM Transcribe
Elevating Call Center performance using HAQM Connect and HAQM Bedrock
The Agent AI Ally solution revolutionizes call center operations by harnessing generative AI to provide agents with real-time, contextual support and product information during customer interactions. Powered by Anthropic’s Claude 3.5 Sonnet model through HAQM Bedrock, the solution delivers instant insights and suggestions while analyzing customer responses in real-time. This comprehensive platform integrates key AWS services including HAQM Connect, Transcribe, and Kendra to create a powerful system that enhances agent performance and customer satisfaction through AI-driven assistance and efficient data processing
Choosing the Right Tool: Selecting Machine Learning or Generative AI for Optimal Results
Metal Toad, an AWS Advanced Consulting Partner, demonstrates how to effectively leverage Generative AI and Machine Learning for business solutions. Through case studies with AlertWest and GeniusVets, they showcase the power of AWS services like HAQM Bedrock and SageMaker in creating innovative AI applications, highlighting the importance of choosing the right AI approach for specific business needs.
Leveraging HAQM Transcribe and HAQM QuickSight to Extract Business Intelligence from Call Center Data
Many organizations record calls which are potential gold mines of rich insights about customer satisfaction, customer churn, competitive intelligence, service issues, agent performance, and campaign effectiveness. However, the sheer volume of phone calls exceeds a contact center’s ability to review and analyze them in order to glean those valuable insights. Learn how SourceFuse used custom microservices development to design a call center solution for a healthcare customer.
How Capgemini Simplifies Pandemic Management with AWS Machine Learning Services
In a global pandemic, it can be hard for medical practitioners and patients to get connected and treated. Continually being on top of patients’ progress is also a challenge, along with scarcity of doctors who themselves are affected by the pandemic. Learn about a reference architecture from Capgemini that uses AWS machine learning services to enable doctors and patients to interact with the least amount of physical contact, while also improving efficiency in treatment management, tracking, and auditing.
How SF Medic Provides Real-Time Clinical Decision Support Using AWS Machine Learning Services
The healthcare industry is experiencing a global shortage of doctors, nurses, and other healthcare professionals. Telemedicine, which provides primary healthcare services to patients through remote connectivity, is one approach for addressing this challenge. SourceFuse developed an easy-to-use and secure telemedicine application called SF Medic that can be adopted by hospitals, clinics, and even single-physician practices.