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Average Ratings 0 Ratings
Description
Enhance your ability to manage processes beyond the limits of existing systems by identifying opportunities for control advancements in real-time data streams. Implement closed-loop control strategies to optimize operations effectively. Seamlessly connect legacy system frameworks with modern insights and data through a robust software integration layer. Transform your workflows and tasks into control applications designed to boost operational efficiency and enhance team productivity. Oversee, adjust, and refine control applications that actively contribute to your business's value generation. Utilize straightforward tools to integrate diverse data streams into a cohesive platform. Ensure the delivery of top-notch information by continuously refining and enhancing data as it is processed. Streamline the development of control applications by establishing a comprehensive data model. Detect patterns and anomalies in your streaming data to inform and improve control-related decisions. By leveraging these strategies, organizations can position themselves for significant advancements in their operational capabilities.
Description
Utilize a comprehensive, AI-integrated solution to access, organize, select, and transform data from the Internet of Things. SAS Analytics for IoT encompasses the entire analytics life cycle related to IoT, featuring a streamlined and extensible ETL process, a data model focused on sensors, and an advanced analytics framework supported by a premier streaming execution engine that facilitates complex multi-phase analytics. Powered by SAS® Viya®, this solution operates efficiently within a fast, in-memory distributed setting. Discover how to create SAS Event Stream Processing applications capable of handling high-volume and high-velocity data streams, delivering real-time responses while retaining only the essential data elements. This course introduces fundamental principles of event stream processing, detailing the various component objects that can be utilized to construct effective event stream processing applications. Our commitment to curiosity drives innovation, as SAS analytics solutions convert raw data into actionable insights, empowering customers globally to embark on bold new ventures that foster advancement. Embrace the future of data analytics and unlock limitless possibilities with SAS.
API Access
Has API
No
API Access
Has API
No
Integrations
Armada.ai
Yes
Capgemini Intelligent Automation Platform
No
DataTerrain
No
HPE Consumption Analytics
No
NVMesh
No
Omnio
No
Phonexia Voice Inspector
No
SAS Data Loader for Hadoop
No
SAS MDM
No
SAS Visual Statistics
No
Integrations
Armada.ai
No
Capgemini Intelligent Automation Platform
Yes
DataTerrain
Yes
HPE Consumption Analytics
Yes
NVMesh
Yes
Omnio
Yes
Phonexia Voice Inspector
Yes
SAS Data Loader for Hadoop
Yes
SAS MDM
Yes
SAS Visual Statistics
Yes
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
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Kelvin
Founded
2013
Country
United States
Website
kelvin.ai/
Vendor Details
Company Name
SAS Institute
Country
United States
Website
support.sas.com/en/software/analytics-for-iot-support.html
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
Yes
Process/Workflow Automation
Yes
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No
Product Features
IoT
Application Development
No
Big Data Analytics
Yes
Configuration Management
No
Connectivity Management
No
Data Collection
Yes
Data Management
Yes
Device Management
No
Performance Management
No
Prototyping
No
Visualization
Yes
IoT Analytics
Activity Dashboard
No
Activity Tracking
No
Analytics
No
Asset Tracking
No
Data Collection
No
Data Synchronization
No
Data Visualization
No
ETL
No
Multiple Data Sources
No
Performance Analysis
No
Real-Time Analytics
No
Real-Time Data
No
Real-Time Monitoring
No
Status Tracking
No