Skip to content
MarketScale
‹ Back to IndustriesIndustrial IoT

Does the Cloud Need Agile Infrastructure to Thrive?

The way we communicate, share data and use technology to act on those insights is changing – and it’s all leading to the cloud. On In the Cloud, every week new experts will engage in a fire side chat and will bring their extensive experience in software, IT and mobile solutions straight to you, offering a…

This story was produced through MarketScale. See how Industrial IoT teams put it to work with AI Visibility (GEO).

By Daniel Litwin · Agile InfrastructureDigital TransformationHybrid CloudInnovation
Share

Key takeaways

01

The way we communicate, share data and use technology to act on those insights is changing – and it’s all leading to the cloud.

02

On In the Cloud, every week new experts will engage in a fire side chat and will bring their extensive experience in software, IT and mobile solutions straight to you, offering a…

The way we communicate, share data and use technology to act on those insights is changing – and it’s all leading to the cloud.

On In the Cloud, every week new experts will engage in a fire side chat and will bring their extensive experience in software, IT and mobile solutions straight to you, offering a glimpse into the future of cloud connectivity around.

As companies race to achieve digital transformation, the structure to support innovation needs attention. To match pace with application development, companies must look to develop an agile infrastructure. But what does that mean? In the Cloud host Courtney Echerd spoke with guest Michael Norring, CEO and President of GCSIT, to answer the question. GCSIT is an engineering firm that partners with companies to foster agile infrastructures.

First, Norring explained the term. “Agile infrastructure means being nimble so that it can support applications. Infrastructure was once static and slow-moving, now it needs to be more fluid, so it doesn’t hold you back in digital transformation.”

“If you’re adopting new technologies, you don’t want the infrastructure to hold you back on your way to digital transformation.” – Michael Norring

One key to achieving this is starting on the development side. “These interactions matter, so we know how to change infrastructure quickly. It’s a holistic view of what an organization is trying to achieve, determining what agility they need to support innovation.” Norring said.

Norring noted that many organizations have traditional data centers for internally facing systems but use cloud-based ones for customer-facing applications. “There needs to be connectivity between internal and customer-facing. When there’s not, there can be failures. We help connect the dots to ensure they work seamlessly together, which includes the hybrid cloud.”

In working with businesses, Norring noted that they strive for long-term relationships. “I get to have conversations about innovation and work with smart individuals with great ideas, helping to move their vision forward.”

Stay Tuned For New Episodes

Follow us on social media for the latest updates in B2B!

Twitter – @MarketScale

Facebook – facebook.com/marketscale

LinkedIn – linkedin.com/company/marketscale

About the author

Daniel Litwin
Daniel LitwinEditor, B2B Media, MarketScale

Daniel Litwin is a journalist of multiple disciplines focused on finding and telling engaging stories for B2B communities. He has interviewed executives from Fortune 500 companies including Honeywell, Microsoft, John Deere, and Chipotle, and leads editorial direction at MarketScale. Litwin hosts weekly shows and podcasts while helping develop new content approaches across the MarketScale platform. He holds a B.J. in Radio/Television Reporting/Anchoring and a B.A. in Spanish from the University of Missouri-Columbia.

Industrial IoT: are you visible to AI?

Before they reach out, Industrial IoT buyers ask AI engines which vendors to trust. See how AI describes your company today, and where competitors show up instead.

Free workspace

You just read one expert. Imagine publishing your whole team.

This article was produced through MarketScale. Create a free workspace and turn your own team's expertise into articles, video, and social posts. No credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What you get, free

Your own MarketScale Studio workspace
One video edit a month, on us
AI writing, editing, and publishing tools
In-platform coaching to learn the system

More Industrial IoT Insights

Robotics, AI accountability, and autonomous forklifts: five automation developments operations leaders need to know

Robotics, AI accountability, and autonomous forklifts: five automation developments operations leaders need to know

The article discusses recent developments in automation, such as ABB's new Visual SLAM forklift and a Kore.ai report revealing that 70% of enterprises struggle to trace AI failures. These advancements highlight significant trends in robotics and AI accountability that operations leaders should be aware of.

  • 01ABB introduced a new Visual SLAM forklift designed to enhance automation.
  • 02A Kore.ai study found that 70% of enterprises are unable to trace AI failures effectively.

Jul 16, 2026

Robotics, AI accountability, and autonomous forklifts: automation's operational priorities this week

Robotics, AI accountability, and autonomous forklifts: automation's operational priorities this week

Recent automation developments, including ABB's Visual SLAM forklift and AI accountability issues, significantly impact operations and procurement teams. A noted 70% gap in AI accountability continues to be a challenge for industries utilizing these technologies. These advancements signal operational shifts in how companies implement and manage automation tools.

  • 01ABB introduced a new Visual SLAM forklift that influences operational strategies.
  • 02There is a 70% accountability gap in AI, posing challenges in industries.
  • 03Automation developments have direct implications for operations and procurement teams.

Jul 16, 2026

The automation visibility gap: why FactoryOps is becoming the missing layer in manufacturing stacks

The automation visibility gap: why FactoryOps is becoming the missing layer in manufacturing stacks

FactoryOps is an emerging operations layer aimed at addressing the visibility gaps in heavily automated manufacturing environments. It operates alongside existing systems like PLCs and SCADA without replacing them. The goal is to enhance operational efficiency by closing existing blind spots that can negatively impact margins in automated plants.

  • 01FactoryOps aims to close visibility gaps in automated manufacturing systems.
  • 02It functions alongside existing PLCs and SCADA systems without replacements.
  • 03By addressing blind spots, FactoryOps seeks to improve operational efficiency and margins.

Jul 16, 2026

Explore More Industrial IoT Insights

Read more expert perspectives from across Industrial IoT.

Browse Industrial IoT Hub

About the Expert

Daniel Litwin
Daniel Litwin

Editor, B2B Media

MarketScale

Daniel Litwin is a journalist of multiple disciplines focused on finding and telling engaging stories for B2B communities. He has interviewed executives from Fortune 500 companies including Honeywell, Microsoft, John Deere, and Chipotle, and leads editorial direction at MarketScale. Litwin hosts weekly shows and podcasts while helping develop new content approaches across the MarketScale platform. He holds a B.J. in Radio/Television Reporting/Anchoring and a B.A. in Spanish from the University of Missouri-Columbia.

For B2B teams

Your experts could be publishing here

Stories like this one run on content MarketScale captures from real practitioners. See how your team's expertise becomes coverage in Industrial IoT and beyond.

Book a 15-minute demo

Or call us. No forms required. We pick up. 214-945-2512