Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The Infor Augmented Intelligence Service (AIS) is an all-encompassing solution aimed at improving decision-making by weaving artificial intelligence and machine learning into the core functions of businesses. This service offers tailored Infor science resources that focus on aligning machine learning models with the unique objectives of the organization, ensuring that AI and ML implementations remain beneficial as the organization progresses. AIS encompasses a managed infrastructure, smooth software delivery, and ongoing support, which permits the creation, rollout, and upkeep of machine learning models without requiring internal data science capabilities. By utilizing AIS, organizations can automate mundane tasks, enhance their responses to particular incidents, and obtain predictive insights, leading to increased operational efficiency and better strategic choices. The service is engineered for rapid deployment, promising a profitable return on investment in as little as 90 days, which further encourages organizations to embrace innovative technologies. Overall, AIS empowers businesses to thrive in an increasingly data-driven landscape.
Description
Addressing the challenges faced by modern enterprises and industries hinges on the effective utilization of big data. The capability to gather information from various sources within your organization—whether it originates from different applications, individuals, or IoT systems—presents enormous opportunities. Infor’s Data Lake tools offer schema-on-read intelligence coupled with a rapid and adaptable data consumption framework, facilitating innovative approaches to critical decision-making. By gaining streamlined access to your entire Infor ecosystem, you can initiate the process of capturing and leveraging big data to enhance your analytics and machine learning initiatives. Extremely scalable, the Infor Data Lake serves as a cohesive repository, allowing for the accumulation of all your organizational data. As you expand your insights and investments, you can incorporate additional content, leading to more informed decisions and enriched analytics capabilities while creating robust datasets to strengthen your machine learning operations. This comprehensive approach not only optimizes data management but also empowers organizations to stay ahead in a rapidly evolving landscape.
API Access
Has API
No
API Access
Has API
No
Integrations
Infor IoT
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
No
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
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Infor
Founded
2002
Country
United States
Website
www.infor.com/technology/augmented-intelligence-service
Vendor Details
Company Name
Infor
Founded
2002
Country
United States
Website
www.infor.com/products/data-lake
Product Features
Artificial Intelligence
Chatbot
No
For Healthcare
No
For Sales
No
For eCommerce
No
Image Recognition
No
Machine Learning
No
Multi-Language
No
Natural Language Processing
No
Predictive Analytics
No
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No
Decision Support
Application Development
No
Budgeting & Forecasting
No
Data Analysis
No
Decision Tree Analysis
No
Monte Carlo Simulation
No
Performance Metrics
No
Rules-Based Workflow
No
Sensitivity Analysis
No
Thematic Mapping
No
Version Control
No
Product Features
Data Analysis
Data Discovery
No
Data Visualization
No
High Volume Processing
No
Predictive Analytics
No
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
No
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
No
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
No