Microsoft Azure IoT Edge vs. Watson IoT Platform

Deployment of mission critical business support solutions particularly those that support virtual learning and video conferencing environments. This is because they help organisations such as the university to effectively transition to a digitally compliant organisation.

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For large companies with large-scale manufacturing, electronics management, and infrastructures that require lots of maintenance, IBM Watson IoT is a must-have. It greatly increases performance, decreases downtime, and is an all-around great management dashboard. This is best for infrastructures that have a larger infrastructures of IoT devices in an enterprise/manufacturing setting, otherwise IBM Watson may not bring many benefits to your team.

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• It works even if there is no internet at client location. It will record all the generated data and only send them to cloud storage when there is internet connection.
• It allows you to bring cloud functionality down to Edge location in the form of docker container.
• It also supports two way communication from device to cloud and vice-versa.

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• The asset information is available in both static and dynamic format (from thermal images, to OEM data, to time series data). The ability to ingest all the information using a single platform has great value.
• Another benefit is a seamless integration with Maximo. This has been a challenge with other 3rd party systems available.
• The experience of IBM Maximo systems updates is positive.

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• For some reason, the containerized architecture was also making this very hard
• Had some issues when debugging edge modules, needs a professional grade remote debugging
• Industrial automation still requires attention. OPC-UA was good but Modbus or custom PLCs etc was painful to set up

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• Some of the tutorials could use a little more improvement - While there is a considerable amount of documentation, most of the good documentation for Watson IoT we found to be from third-parties.
• Administration and billing tools could use a bit more improvement - The UI is a bit clunky and poorly-designed here.
• Be prepared to work with IBM support to get this going - Their turn-around support for inquiries can be lengthy, and setup time may also be quite lengthy because of this.

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Most of the time it works perfectly, does not require any attention, but when there is a problem, it's really hard to diagnose it. I think the documentation for the positive scenarios are good on the Microsoft side, but for negative scenarios, I don't think there is enough community help out there, in my opinion.

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The reason Behind this is the cost, as Microsoft provides solutions and integrations of services cheaper than AWS.

Predix has recently launched their Asset Performance management Unified system. I am keen to see how it stacks up against Watson.

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• Very valuable return on investment for IT capex committed to the deployment
• Improvements in overall organisational efficiency and agility
• Repositioning the organisation to become digitally transformed

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• Positive - This tool greatly increases most company's manufacturing and production efficiency, and the use-cases are extensive. It was a great way of decreasing down-time for us.
• Negative - Took lots of work and energy to get up and running, we had to rely on IBM support and tutorials many times during this process.
• Positive - Quite cheap, most of the tiers of pricing cost very little, and it's possible to use Watson IoT for a few months for free to see if it is beneficial for your company.

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info