2022 Manufacturing Predictions from iBASEt
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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
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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
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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?
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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.
Lessons to Learn from Intel's $20 Billion Manufacturing Investment
The Intel announcement is a recognition of the value of U.S.-based manufacturing, and the business will support a very long supply chain of semiconductor assembly tool designs and manufacturing in the U.S.
To Overcome Capacity Constraints, Industry 4.0 Implementations Must Follow These 3 Steps
The benefits of industry 4.0 in manufacturing are clear, but unlocking them requires organizations to overcome capacity constraints. The keys are in these change management strategies.
6 AI Driven Ideas to boost Asset Performance Management
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Asset Performance Management software must evolve into knowledge hubs that not only deal with monitoring, but also gathering data from other dependent systems to provide much deeper insights and greater control.
Benefits of VFD Cables Over THHN
Cables with the proper shielding, i.e. foil plus braided shield or semi-conductive fleece with foil and a braid shield, prevent the VFD system from radiating electrical noise that can interfere with the surrounding networking, wireless communication, and industrial devices.
Is now the time for Manufacturers to accelerate the Digital Transformation process?
Those manufacturers that digitize their operations will gain significant advantages, and those that don't will have a more difficult time catching up.
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