Four TCP-based Communication Protocols That Are Key to IIoT-Part 4: REST API

Representation State Transfer (REST) summarizes architectural frameworks that simplify and harmonize communication between devices in a network. It was developed in 2000 by Roy Fielding as part of his Ph.D. thesis.

Four TCP-based Communication Protocols That Are Key to IIoT-Part 3: AMQP

The Advanced Message Queuing Protocol (AMQP) is an interoperable asynchronous publish/subscribe communication protocol. It was originally developed in 2003 by the JPMorgan Chase Bank.

Four TCP-based Communication Protocols That Are Key to IIoT-Part 2: OPC UA

OPC Unified Architecture (OPC UA) is a platform-independent, service-based architecture. A successor to Classic OPC, the aim of OPC UA was to eliminate the drawbacks of Classic OPC, especially its dependencies on Microsoft and COM/DCOM.

The Future of Manufacturing: How Digital Twins, 3D AI, Robotics Automation, and Immersive Reality Tech Are Modernizing Industries

The manufacturing sector today is being driven by rapid advancements in sophisticated technology. Among the most significant contributors to this modernization are Digital Twins, 3D AI, robotics automation, and immersive reality technologies.

The AI Imperative: Crafting Your Manufacturing Future

How does a business begin to build a compelling AI case? It starts with a problem worth solving. Here is how businesses can leap onto the AI train with a strategy that is as pragmatic as it is ambitious.

Smarter Manufacturing: Improving Safety and Efficiency With The IoT

Wireless connectivity enables manufacturers to more easily rearrange their production facilities to meet specific needs, minimizing costly downtime between production runs for multiple clients.

The Data Revolution Is Transforming Manufacturing-Don't Fall Behind

Getting a robust, firing-on-all-cylinders data operation is a far less labor-intensive process than many seem to suspect, and the dividends it yields invariably outpace whatever effort is expended on getting it off the ground.

The Role of PLCs in the Modern Industrial Revolution

New kinds of PLCs are contributing to new approaches to manufacturing and industrial systems. Many people are referring to the more general trend as a 'new industrial revolution' or 'industry 4.0.'

The Future Of Industrial Automation - Trends And Technologies To Watch

As industries adopt data-driven operations, there is increased demand for advanced technologies. These technologies maximize the potential and returns on investment in industrial automation systems.

How to get more out of MOM with IIOT & Connected Applications

Mike Bradford, Strategic Business Development Director at DELMIA gave us his expert insight on the impact IIOT can have on a manufacturing firm when used effectively, and how this can provide a real return on investment for business owners.

Raising the Roof (on Network Capacity) - New "Indoor Backhaul" System to Help Meet Rapidly-Growing Bandwidth Requirements for IIoT Applications

Wireless backhaul systems operating in the 60 GHz "millimeter wave" band that can connect through walls and "beam steer" around corners are now available.

Top 5 Questions to Ask When Evaluating IIOT Technology Solutions

After extensive research and analysis with leading industry manufacturers, machine builders and end users, we have compiled the Top 5 Questions to Ask When Evaluating an IIOT Solution.

5 Ways You Can Improve Your Manufacturing Operations with a Data-First Strategy

By going digital and adopting a data-first strategy, manufacturing leaders can transform their operations and better prepare themselves for the future.

Smart Manufacturing - A Layered Approach to Digital Transformation

One of the main goals of digital transformation is to transform the shop floor into smart manufacturing to help manufacturers to manage their core production operations digitally to maximize the production by minimizing machine downtime and quality losses.

Machine Health Is the Key to Fully Realizing Industry 4.0 - and Moving Beyond

Like any new technology, AI solutions face adoption and cultural challenges. Even with Industry 4.0 technology, manufacturers sometimes fail to adapt to the solutions available to them.

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