Industrial Edge Computing: Strategies That Scale

02/15/24 • 37 min

Edge computing is quickly becoming known for its ability to improve business operations by reducing latency, delivering high performance and providing real-time insights. But despite its promise, many businesses — especially in the industrial space — struggle to successfully adopt edge computing.

One challenge is that industrial edge computing can be complex to scale. Although it's relatively easy to get started with a few edge devices, managing a large-scale edge computing infrastructure can be daunting. Additionally, the lack of a single edge computing standard can make it difficult to integrate edge devices and applications from different suppliers.

To overcome these challenges, businesses need to take a strategic approach to edge computing adoption. This includes carefully planning their edge computing architecture, selecting the right edge devices and applications and implementing a robust management and orchestration framework.

I recently talked to Christina Cardoza at insight.tech, alongside Dan Rodriguez, Vice President and General Manager of the Network and Edge Solutions Group at Intel, about the edge computing landscape. We discussed the state of edge computing across different environments, how businesses can successfully approach edge computing, key challenges and how to solve them, and what the future holds for edge computing in this space.

This episode touches on topics including:

Different edge opportunities for businesses
Why adoption is more challenging for manufacturers
How to successfully approach edge computing
Lessons learned from industry examples
The edge computing ecosystem and partnerships
Future-proofing investments and efforts.

To learn more about adopting edge computing, read IoT Edge Computing: The Road to Success.

This podcast was originally published on insight.tech.

This episode touches on topics including:

Different edge opportunities for businesses
Why adoption is more challenging for manufacturers
How to successfully approach edge computing
Lessons learned from industry examples
The edge computing ecosystem and partnerships
Future-proofing investments and efforts.

To learn more about adopting edge computing, read IoT Edge Computing: The Road to Success.

This podcast was originally published on insight.tech.

Previous Episode

Navigating the Path to Secure Apps

In recent months, various industries and organizations worldwide have been hit by numerous high-profile security breaches. These breaches have included unauthorized access, data leaks, ransomware attacks and other forms of cyberthreats targeting applications and their underlying infrastructure.

Respondents in our Senior Leadership IT Investment Survey, 2022 cited IT security as the top priority for the fourth consecutive year, outlining both the importance of security and the complexities facing many businesses. When looking at new product launches and updates, security is at the front and centre of the messaging as a core capability on offer from many software providers.

For this episode of the CCS Insight podcast, I was joined by VMware's Darran Rice, Tanzu Executive Advisor, and Michael Coté, Senior Member of Technical Staff. Clive Howard, Chief Technology Officer at Huozhi, a provider of a humanitarian fintech platform, and associate analyst at CCS Insight, also joined the discussion.

Our conversation explored the difficulties facing organizations looking to secure their IT workloads and how they can navigate the technical debt and older technologies. As businesses update these systems, new security vulnerabilities arise and require a further review of the profile.

The podcast episode unpacks:

The main security complexities faced by businesses across industries
The best strategies that are working for securing application delivery
The importance of people in an organization as a core, understated security risk.

CCS Insight has also produced a free report detailing the key points of the podcast discussion, available here.

Next Episode

Top IoT and Edge AI Predictions for 2024

Artificial intelligence (AI) and edge computing are taking the Internet of things (IoT) to the next level, with new and exciting applications expected over the next year and beyond. But as the rapid pace of advancements and investments unfolds, it raises the question: are we accelerating too fast?

We recently talked to Christina Cardoza, Editorial Director at insight.tech, about our top IoT and edge AI predictions for 2024. We also navigate the responsible development of solutions and explore the impact AI is set to make in the coming years.

The podcast touches on topics including: