Digital Insights: Improving Collaboration Across Sites and Global Teams

Insights are more than data, it's about improving how your teams and production lines work together. Insights are crucial as they let cross-functional teams see the same data and understand the real-time state of the entire operation. Learn more in this Q&A.

The Missing Link in Industry 4.0's Connectivity Chain - Overcoming IIot Deployment Challenges Through eSIMs

While IoT SIM cards do the job, these challenges are hard to ignore when there's a solution on hand. eSIMs, or embedded SIMs, are a digital alternative to physical SIMs, connecting devices to a network over the air.

Service buses and their impact on digitalization

One of the biggest challenges that enterprises face in their digitalization efforts is having too many complex data silos and applications that don't follow a common architecture.

Sustainable manufacturing at the edge

In the wake of landmark climate event, COP26, manufacturers are striving to align their activities with the global net zero targets. But the sector has a long way to go. It currently produces more than 16 gigatons of carbon dioxide (CO2) each year.

Major IoT Trends to Expect in 2022

5G networks are opening new opportunities to manufacturers including speeding-up the IoT with faster data transfer rates and more efficient connections and communication between devices. Therefore, 5G will be key to the growth of the IoT in 2022.

2022 Manufacturing Predictions from iBASEt

Naveen Poonian, CEO of iBASEt shares 3 predictions for the manufacturing industry for 2022. Expanded Competition for "Digital First" and Cloud Adoption leads to Improved Analytics, better decision making and improved remote-first operations.

Increasing Rural Broadband Can Help Rural Manufacturers Compete

Rural manufacturing's comparative decline is multifaceted, but the solution may not be. One of the most impactful distinctions between today's most and least competitive manufacturers is access to reliable, high-speed internet.

How Manufacturers Can Invest in IoT

Manufacturing is one of the largest industries in the world, with demand growing every day. The IoT provides countless opportunities for optimization, cost reduction, and improved performance.

It's time for change - Technology essential to tackle climate change

To pursue a sustainable future, manufacturers need to find options to increase energy efficiency. Industrial robotics is an ideal way to help improve sustainability and minimize the environmental impact of manufacturing activities.

Location-Based Automation- Why a Digital Twin of Moving Things is the Missing Piece for Successful Industrial Automation

This article outlines why the promising concept of the digital twin has often fallen short of its goal of end-to-end automation and connectivity.

MQTT and the Purdue Model Work Together for IIoT Security

The demand for data from both OT teams and cloud and enterprise systems has grown exponentially, but the manufacturing industry is still tied closely to the Purdue Model.

Managing Employee Shortages with IIoT

Manufacturers are facing a troubling scenario: the need to maintain production levels in the midst of the largest workforce shakeup in our lifetime. The Industrial Internet of Things (IIoT) provides a highly effective, flexible and cost-efficient solution.

AIoT and Edge Analytics: a Powerful Combination

Swedish philosopher Nick Bostrom once said, "machine intelligence is the last invention that humanity will ever need to make". AI decision making, with real time communication and data analytics, has the ability to transform the way manufacturers understand machines.

How to manage a complex network of new and legacy equipment

With rapid advancement in automated and connected technologies, managing both new and old equipment simultaneously can be a challenging balancing act.

What Does Digital Manufacturing Mean and How Can We Move Toward It?

Siemens used IoT sensors and data analytics to create a digital twin of the factory. By analyzing and adjusting various parts of this model, the facility could see where inefficiencies were and which changes would have the greatest impact.

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