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Average Ratings 0 Ratings
Description
Relying solely on machine learning often falls short, as it primarily offers predictions or classifications without providing a clear path to achieving desired objectives. In contrast, a Decision Intelligence (DI) model connects actions to their outcomes, making assumptions and predictions clear, allowing for adjustments based on data or expertise as organizations evolve over time. For venues such as event centers, sports arenas, educational institutions, corporate offices, and industrial sites, the challenge remains: how can they effectively reduce the risk of COVID-19 transmission? Many entities seek to exceed the minimum safety measures set by health authorities for enhanced protection against the virus. Much like how pilots utilize simulations to refine their flying skills, our Pandemic Action Advisor (PANDAA) empowers organizations to model the impact of various safety measures—such as mask mandates, HVAC adjustments, social distancing protocols, and Far UVC lighting—tailored to the unique layout of their facilities and the specific movement patterns of staff and visitors. As we navigate this complex landscape, it's clear that AI, encompassing both machine learning and decision intelligence, is maturing and adapting to address real-world challenges more effectively. This evolution underscores the necessity of developing comprehensive strategies that prioritize safety while fostering operational resilience.
Description
SAS Intelligent Decisioning empowers organizations to optimize their interactions with customers, partners, suppliers, and employees by facilitating well-informed decision-making. It allows for the delivery of relevant, real-time decisions based on business rules and advanced analytics, accommodating a vast array of use cases. Before implementation, users can easily test these decisions to confirm they will yield the desired outcomes. The platform includes strong governance features that ensure decisions are comprehensible and trustworthy throughout the organization. It can efficiently manage high volumes of data and decisions thanks to a cloud-based architecture that adapts to varying demands. Additionally, it supports decision-making at the edge and in-stream integration with IoT devices, enhancing its versatility. Users can effortlessly create and adjust decision-making processes, whether by utilizing a user-friendly drag-and-drop interface or by writing custom code. Decisions can be defined by exploring centralized repositories for data, models, and business rules, allowing users to leverage existing resources effectively. This comprehensive approach ensures that organizations can remain agile and responsive in a fast-paced business environment.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Azure Marketplace
Docker
Google Cloud Platform
Microsoft Azure
Microsoft Power Platform
Red Hat OpenShift
Integrations
Amazon Web Services (AWS)
Azure Marketplace
Docker
Google Cloud Platform
Microsoft Azure
Microsoft Power Platform
Red Hat OpenShift
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Quantellia
Country
United States
Website
quantellia.com
Vendor Details
Company Name
SAS
Country
United States
Website
www.sas.com/en_us/software/intelligent-decisioning.html
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Decision Support
Application Development
Budgeting & Forecasting
Data Analysis
Decision Tree Analysis
Monte Carlo Simulation
Performance Metrics
Rules-Based Workflow
Sensitivity Analysis
Thematic Mapping
Version Control
Product Features
Decision Support
Application Development
Budgeting & Forecasting
Data Analysis
Decision Tree Analysis
Monte Carlo Simulation
Performance Metrics
Rules-Based Workflow
Sensitivity Analysis
Thematic Mapping
Version Control