The Need for Open Source at the Edge (eBook)

IoT

Related Topics

Connectivity services Industrial IoT Intelligent edge

Top Articles

Hover to load posts
Real-Time Analytics

Related Topics

Decision Automation Real-Time Decisions Stream Processing Streaming analytics, event processing

Top Articles

Hover to load posts
Artificial Intelligence

Related Topics

AIOps Cognitive Computing Deep Learning Expert Systems Generative AI IBM Watson Machine Learning Natural Language Processing Reasonable AI

Top Articles

Hover to load posts
Big Data

Related Topics

Big data analysis tools Big data architectures Big data platforms Data management

Top Articles

Hover to load posts
Industries

Related Topics

Aviation Energy Entertainment / Digital Media Financial Services Healthcare Manufacturing Retail Sales, marketing Shipping / Postal Smart Cities

Top Articles

Hover to load posts
Use cases

Related Topics

Asset performance, production optimization Compliance and Anti-Fraud Computer-aided diagnosis and bioinformatics Crisis Management Customer Experience Management Energy management Financial analysis IT monitoring Medical diagnostics Network and Application Monitoring

Top Articles

Hover to load posts
Reports

Top Articles

Hover to load posts
Resources

Resource Hubs

Engineering the Real-Time Backbone Our Resources

Featured Resources

Link to Best Practices for Deploying and Scaling Industrial AI

Best Practices for Deploying and Scaling Industrial AI

Artificial Intelligence (AI) is transforming industrial operations, helping organizations optimize workflows, reduce downtime, and enhance productivity. Different industry verticals leverage AI in unique ways.

Link to The Center for Adaptive Edge Intelligence

The Center for Adaptive Edge Intelligence

Adaptive edge intelligence brings real-time decision-making to the point of data creation, whether from sensors, machines, or cameras.

Link to The Value of Vehicle Electrification

The Value of Vehicle Electrification

Electric vehicles (EVs) present automakers with many design, engineering, and manufactu ring challenges.

Link to Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT

Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT

Digital transformation is empowering industrial organizations to deliver sustainable innovation, disruption-proof products and services, and continuous operational improvement.

Link to Smart Manufacturing for Automotive

Smart Manufacturing for Automotive

Leading a transportation revolution in autonomous, electric, shared mobility and connectivity with the next generation of design and development tools.

Link to Center for Data Pipeline Automation

Center for Data Pipeline Automation

As businesses become data-driven and rely more heavily on analytics to operate, getting high-quality, trusted data to the right data user at the right time is essential.

Link to Center for Automated Integration

Center for Automated Integration

The goal of automated integration is to enable applications and systems that were built separately to easily share data and work together, resulting in new capabilities and efficiencies that cut costs, uncover insights, and much more.

Link to Continuous Intelligence: Insights

Continuous Intelligence: Insights

Digital transformation requires continuous intelligence (CI). Today's digital businesses are leveraging this new category of software which includes real-time analytics and insights from a single, cloud-native platform across multiple use cases to speed decision-making, and drive world-class customer experiences.
Blockchain Blockchain
Cloud technologies Cloud technologies
Data integration tools Data integration tools
Decision management Decision management
In-memory computing In-memory computing
Intelligent integration and BPM Intelligent integration and BPM
IIC Testbeds IIC Testbeds
Videos Videos
Events Events

The Need for Open Source at the Edge (eBook)

modern integration

Edge projects often need to incorporate new connectivity services such as 5G and increasingly powerful analytics algorithms. There is a need for flexibility to accommodate and integrate these new technologies into embedded edge systems. There also is a need for speed in today’s highly dynamic marketplace.

Written By

RTInsights Team

Sep 5, 2020

1 minute read

Open source solutions help address both issues. They benefit from a community that rapidly adjusts to changes, addresses problems, and enables innovation. However, when edge applications are put into production, enterprise-class features and support are necessary.

In this eBook, sponsored by Wind River, you’ll learn:

What intelligent edge is
Why Open Source Software Is the Best Fit for the Intelligent Edge
The Three Key Elements of New Edge Applications
11 Cybersecurity Must-Haves to Make Open Source Solutions Work for the Intelligent Edge

To download, fill in the form on the right.

RTInsights Team

Recommended for you...

Intelligent edge

The Future is on the Edge, Survey Predicts

The report finds that edge computing offers variety of benefits, including improved speed, reduced latency, enhanced data security, and enhanced reliability.

Joe McKendrick

Sep 12, 2023

Edge Computing

Edge Data Center Market Expected To Double

Lower latency services such as IoT, 5G, and video streaming are behind much of the edge data center market’s growth.

Elizabeth Wallace

Sep 6, 2022

Artificial intelligence technologies

Streamlining Smart Home Communication

Manufacturers need to develop smart home products built upon a foundation of genuine intelligence and independence. Distributed intelligence imbues devices with these qualities almost by design, helping developers to accelerate the journey into an exciting new era.

Mark Lippett

May 8, 2022

Telecommunications

ITU: 2.9 Billion Lack Broadband Internet Access

A new study by the ITU found 2.9 billion people are without internet access worldwide, with a majority of them located in developing countries.

David Curry

Jan 26, 2022

Featured Resources from Cloud Data Insights

Artificial intelligence technologies

Closing the Governance Gap in Real-time AI

Governance roles must evolve as operating models adapt to changing requirements. Broadly, the CIO and CTO take ownership of architecture, security, and scalability. The CDO or data leader is accountable for data quality, lineage, and stewardship. The AI/ML teams are responsible for model performance, monitoring, and validation, while business owners take charge of outcomes and decision accountability.

Prem Naveen

Jul 1, 2026

Artificial intelligence technologies

Why AI Investment Is Outpacing Measurement

With agentic AI, measurement takes on added importance. Performance becomes a trust and accountability issue.

Ajay Vasal

Jul 1, 2026

Artificial intelligence technologies

What Normal Load Hides, Peak Demand Exposes. New Caching Technology Can Help.

Systems built using traditional caching techniques will continue to struggle when demand concentrates. The ones built with efficiency of data coordination as the first constraint are the ones that will hold up best under peak load.

Dr. William Bain

Jun 29, 2026

Artificial intelligence technologies

Real-time Analytics News for the Week Ending June 27

In this week’s real-time analytics news: Dell and Lenovo debut new systems for AI workloads.

Salvatore Salamone

Jun 28, 2026

Analysis and market insights on real-time analytics including Big Data, the IoT, and cognitive computing. Business use cases and technologies are discussed.

Company

About us Contact us Our Team Engage with Us Write for us Brain Trust

The Need for Open Source at the Edge (eBook)

RTInsights Team

Featured Resources from Cloud Data Insights

Company

Categories