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What is SAS Analytics for IoT?

Leverage an all-encompassing, AI-driven approach to effectively access, organize, select, and transform data derived from the Internet of Things. SAS Analytics for IoT encompasses the full analytics life cycle linked to IoT, featuring a seamless and flexible ETL process, a data model prioritizing sensor data, and a sophisticated analytics framework enhanced by an elite streaming execution engine that enables intricate multi-phase analytics. Built on SAS® Viya®, this solution functions adeptly within a rapid, in-memory distributed environment. Learn how to develop SAS Event Stream Processing applications that can manage high-volume and high-velocity data streams, providing instantaneous responses while retaining only crucial data elements. This course covers the fundamental concepts of event stream processing, explaining the various component objects that can be employed to create efficient event stream processing applications. Our dedication to curiosity fuels innovation, as SAS analytics solutions transform raw data into actionable insights, empowering clients worldwide to embark on ambitious new projects that promote growth. By embracing the future of data analytics with SAS, organizations can unlock a realm of endless possibilities and drive transformative change. Through this journey, businesses will not only enhance their operations but also gain a competitive edge in their respective industries.

What is Pratexo?

Pratexo dramatically accelerates the processes of developing, assessing, and deploying the distributed systems that are crucial for sophisticated applications in fields such as artificial intelligence, the Internet of Things, and Industry 4.0. By leveraging well-established and open technologies, Pratexo provides a secure and resilient platform that is customized to meet the specific needs of your application. For these transformative applications to operate effectively, they must have the capability to detect, analyze, and respond to enormous volumes of data in real-time. This requirement leads to the necessity for a distributed cloud infrastructure that offers vital cloud services across multiple locations, particularly nearer to the edge. The task of designing and implementing such architectures and applications is not only complex but also introduces various challenges. Applications that initially demonstrate strong performance may encounter difficulties in sustaining efficiency when scaled and can struggle in real-world settings. Many proof-of-concept projects aimed at 'digital transformation' tend to either fail or take significantly longer to be market-ready than originally expected, highlighting the intricacies involved in this journey. Therefore, it becomes clear that a thoughtful and strategic approach is crucial to overcoming these obstacles and achieving successful outcomes in deployment. Additionally, addressing these challenges with innovative solutions can pave the way for more efficient and effective operational models in the future.

Media

Media

Integrations Supported

Capgemini Intelligent Automation Platform
DataTerrain
HPE Consumption Analytics
NVMesh
Omnio
Phonexia Voice Inspector
SAS Data Loader for Hadoop
SAS MDM
SAS Visual Statistics
SAS Viya
Uptempo

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

SAS Institute

Company Location

United States

Company Website

support.sas.com/en/software/analytics-for-iot-support.html

Company Facts

Organization Name

Pratexo

Date Founded

2019

Company Location

United States

Company Website

pratexo.com

Categories and Features

IoT

Big Data Analytics
Data Collection
Data Management
Visualization

IoT Analytics

Not specified

Categories and Features

IoT

Not specified

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