An extensive comparative guide to IIoT automation technologies

Waylay Marketing

Marketing Team

An extensive comparative guide to IIoT automation technologies

An extensive comparative guide to IIoT automation technologies

Waylay Marketing

Marketing Team

As the IIoT is picking up speed in consumer and industrial markets, IIoT application development is becoming increasingly complex. Solution architects and enterprise developers are looking for tools that can abstract away the complexity and accelerate solution design and time to market.

Today we are launching an extensive comparative guide to rule-based automation technologies that can be used in the IIoT domain: A Comparative Guide To Rules Engines. The guide evaluates automation technologies against a set of criteria that we have identified as vital for IIoT applications, both from the point of view of the technology itself and from that of the implementation.

Although automation technologies may not be in the spotlight as much as the actual tools that different vendors build on them, it’s important to understand the limits of the technology so that you can assess whether that tool will ever fully meet your needs or not.

In other words, you may feel that you need a Node-RED or an ifttt, or a drools – type of tool, when actually neither flow processing engines (node-red) nor condition-action engines (ifttt) nor forward-chaining engines (drools) may be a good fit for your business case requirements. What’s more, the vast majority of real-life IIoT use cases usually require using more than one type of technology. When vendors are offering you integrated solutions or when you are looking at building your own stack with the best of breed, you should be able to easily and quickly identify the strong points of the underlying technology behind each tool or combination of tools and map out who plays nice with whom.

This guide will help you achieve this goal.

Great article on IIoT automation & forward chaining engines


20%

avg.
Cost saving

36%

AVG. reduction in
travel distance and time

11%

AVG. increase in
capacity

1.3

AVG. additional
appointments per shift

99.5%

Improved
SLA adherence

20- 30%

Improvement in
First-time fix-rate

See the video below to see the combination of Waylay and FLS VISITOUR in action:

What’s next?

Autonomous service operations is getting supercharged by the advent of smart synthetic software agents, powered by Large Language Models (LLMs). These synthetic agents will assist human service agents to increase capacity and reduce tedious manual work, like root cause analysis of asset performance issues, updating work plans to deal with impending asset shut downs, etc. 

LLM technologies have matured enough to couple automated asset health monitoring with autonomous field job scheduling to improve asset uptime and Service Level Agreement adherence. Waylay’s analytics and orchestration platform can serve various agentic LLM applications for autonomous service operations that leverages the FLS VISITOUR scheduling engine to optimize the field force load and reduce wasted travel hours. The result is  faster preventive asset maintenance activities, less human error during scheduling and an overall better end customer experience.

Want to know more? Please get in touch with us here

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