Skip to content
MarketScale
‹ Back to IndustriesSoftware & Technology

Materializing Industry 4.0 Through Industrial Automation

Industry 4.0 – What is it, and how can manufacturers make it a reality in their operations? In this episode of To the Edge and Beyond, host Daniel Litwin talks with Hector Martinez, an industrial automation expert at Intel, about manufacturing challenges fueling the push towards Industry 4.0 and the technologies that are making Industry…

This story was produced through MarketScale. See how Software & Technology teams put it to work with Executive Thought Leadership.

By Daniel Litwin · AiCloud ComputingCncCobots
Share

Key takeaways

01

Industry 4.0 – What is it, and how can manufacturers make it a reality in their operations?

02

In this episode of To the Edge and Beyond, host Daniel Litwin talks with Hector Martinez, an industrial automation expert at Intel, about manufacturing challenges fueling the push towards Industry 4.0 and the technologies that are making Industry…

Industry 4.0 – What is it, and how can manufacturers make it a reality in their operations? In this episode of To the Edge and Beyond, host Daniel Litwin talks with Hector Martinez, an industrial automation expert at Intel, about manufacturing challenges fueling the push towards Industry 4.0 and the technologies that are making Industry 4.0 possible.

The need for Industry 4.0 solutions is a result of many factors including supply chain disruptions, labor shortages, and rapidly changing customer demands. Adopting 4.0 solutions involves combining new technologies with legacy applications and allocating more power to edge computing, which can lower costs, improve resilience, and increase productivity. “Slowly but surely,” says Martinez, “manufacturers are realizing that incorporating the latest automation technologies will allow them to capitalize on all the data that gets generated during operations. Having this data will increase ease of use, reduce risk, and allow them to create more capable interfaces, algorithms, and models.”

The switch to Industry 4.0 raises challenging questions. How do manufacturers:

  • Maximize return on investments in legacy systems?
  • Collect and use data effectively at the edge?
  • Increase processing power and connectivity speeds?
  • Address the demands of extreme industrial environments?

According to Martinez, successful implementation of Industry 4.0 solutions depends on evaluating each manufacturer’s needs and selecting a high-performing processor designed to excel at the edge. “The differentiator for this technology will be how flexible and easy it is to adopt and whether or not manufacturers can make efficient use of legacy applications and devices by incorporating edge solutions such as AI, digital twins, and robots,” says Martinez.

“When you’re in manufacturing, continuous improvement is part of the job, but the good news is that Industry 4.0 is within reach for most manufacturers.”

To continue the conversation with Hector Martinez, connect with him on LinkedIn.

Learn more about Intel’s industrial automation solutions, visit:

Subscribe to this channel on Apple PodcastsSpotify, or Google Podcasts to hear more from the Intel Internet of Things Group.

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.

Software & Technology: are you visible to AI?

Before they reach out, Software & Technology 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 Software & Technology Insights

Agentic AI, infrastructure risk, and timing: the B2B tech signals operators can't ignore in 2026

Agentic AI, infrastructure risk, and timing: the B2B tech signals operators can't ignore in 2026

The B2B tech landscape in 2026 focuses on more than just technology adoption. Key signals involve the deployment of agentic AI, managing infrastructural risks, and understanding operational readiness across Asian Pacific regions. A notable event includes a 19-day model shutdown, which emphasizes the importance of preparedness in business operations.

  • 01Operational readiness is essential for B2B tech in 2026, beyond just adopting new technologies.
  • 02Agentic AI deployments in the APAC region highlight significant infrastructural risks.
  • 03A 19-day model shutdown in 2026 underscores the need for robust contingency plans.

Jul 16, 2026

Microsoft 365 prices rise up to 43% as Copilot Chat folds into base plans

Microsoft 365 prices rise up to 43% as Copilot Chat folds into base plans

Microsoft has increased the prices for its M365 commercial packages by 5-43% starting July 1. The company has also integrated Copilot Chat into every base plan. This adjustment necessitates a reevaluation of software procurement strategies by businesses.

  • 01Microsoft raised M365 commercial prices by 5-43%.
  • 02Copilot Chat is now included in all Microsoft 365 base plans.
  • 03Companies need to reconsider their software procurement strategies due to these price changes.

Jul 15, 2026

Google Restricted Meta's Access to Gemini Compute. The AI Infrastructure Bottleneck Is Now Visible.

Google Restricted Meta's Access to Gemini Compute. The AI Infrastructure Bottleneck Is Now Visible.

Google informed Meta in March 2026 that it could not provide the requested Gemini compute capacity. This restriction impacted several of Meta's internal AI projects, leading to a need for rationing compute resources. Google is currently leasing $920 million a month in Nvidia GPUs from SpaceX to address its own shortage.

  • 01Google restricted Meta's access to Gemini compute capacity in 2026.
  • 02Meta had to ration compute tokens affecting its AI projects.
  • 03Google is leasing Nvidia GPUs from SpaceX to meet its needs.

Jul 15, 2026

Explore More Software & Technology Insights

Read more expert perspectives from across Software & Technology.

Browse Software & Technology 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 Software & Technology and beyond.

Book a 15-minute demo

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