Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Innovations in healthcare have the potential to transform lives and inspire hope, driven by a combination of scientific expertise, empathy, and human understanding. We are confident that artificial intelligence can play a significant role in this transformation through effective collaboration among researchers, healthcare providers, and the wider community. Today, we are thrilled to announce promising strides in these efforts, unveiling limited access to Google’s medical-focused large language model, Med-PaLM 2. In the upcoming weeks, this model will be made available for restricted testing to a select group of Google Cloud clients, allowing them to explore its applications and provide valuable feedback as we pursue safe and responsible methods of leveraging this technology. Med-PaLM 2 utilizes Google’s advanced LLMs, specifically tailored for the medical field, to enhance the accuracy and safety of responses to medical inquiries. Notably, Med-PaLM 2 achieved the distinction of being the first LLM to perform at an “expert” level on the MedQA dataset, which consists of questions modeled after the US Medical Licensing Examination (USMLE). This milestone reflects our commitment to advancing healthcare through innovative solutions and highlights the potential of AI in addressing complex medical challenges.
Description
Our software empowers contact center operations personnel to independently modify Call Taker skills configurations, eliminating the need for assistance from other support teams that typically handle these adjustments. It includes features for real-time management, monitoring, and tracking of Call Taker availability. This system equips contact center operations with tools to respond effectively to sudden fluctuations in call volume and varying arrival patterns. Additionally, it supports the scheduling of recurring projects and initiatives in advance. The software also allows for temporary management of Call Taker "On-Phone" availability schedules, enabling operations to make immediate adjustments to skills configurations without requiring IT intervention. Furthermore, it automatically reverts any temporary changes made to the Call Taker skills configurations, ensuring that stability is maintained after adjustments are no longer necessary. This comprehensive approach enhances operational efficiency and responsiveness in a dynamic call center environment.
API Access
Has API
No
API Access
Has API
No
Integrations
Google Cloud Platform
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Google Cloud
Country
United States
Website
cloud.google.com/blog/topics/healthcare-life-sciences/sharing-google-med-palm-2-medical-large-language-model
Vendor Details
Company Name
OpsTel Services
Founded
2010
Country
United States
Website
opstel.com
Product Features
Product Features
Workforce Optimization (WFO)
Interaction Analytics
No
Liability Recording
No
Performance Management
No
Quality Management
No
Real-time Guidance
No
Reporting
No
Speech Analytics
No
Surveying
No
Workforce Management
No
eLearning
No