C3 AI Platform vs. SAP IoT Application Enablement

For consultants like me, who are not interested in generic LLM's with very deployment costs and payback times, industry specific applications are essential. We are time-bound to deliver value to our clients whether it is improved productivity or revenue uplift, and for this particular reason C3 AI Platform is a particularly good choice.

IoT Application Enablement is particularly useful when developing SAP UI5 applications that consume and use IoT data. There are many such examples in a number of business areas such as logistics, inventory management, process management, asset management, and others. IoT data is a key source of fuel for the intelligent enterprise.

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• Thing modeling is a particularly useful aspect of IoT Application Enablement.
• IoT Application Enablement supports a large number of IoT communication standards and protocols.
• It is quite easy to expose the Thing and IoT data as OData or other RESTful services

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• I believe SAP is currently combining IoT Application Enablement into SAP Leonardo IoT. It will be worth seeing what extra features are available then.

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I’d give it 7.5/10. Its model-driven architecture is powerful for scaling enterprise AI, at pace but it definitely needs some heavy-lifting. The platform can be hard to grasp initially and the steep learning curve, makes change management very important. The framework can be a bit rigid for industry agnostic developers used to flexible, open-source tools. It is excellent for data orchestration but is not as lean as some of the low-code competitors.

While it is a good product, I feel like with SAP Leonardo IoT there will be a lack of support for this specific product. If it becomes part of the whole then this will be a much higher rating as their support is excellent. I'm just cautious while they combine several products into one. I have not used SAP Leonardo IoT yet.

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C3 AI Platform offers much faster deployment through pre-built, industry-specific apps, and comfortably beats the others when it comes to time to deployment and scalability. Palantir on the other hand requires heavy custom engineering. C3 AI Platform does lack the open-source flexibility of Databricks and the cloud native scale of Vertex. I would prefer C3 AI Platform for turnkey enterprise solutions, but for other use cases it can be a bit more complex vs the other three due to its "back-box" environment.

• Being able to incorporate IoT data directly into web applications is quite valuable, both to our customers and to our business as well.
• IoT data has helped us take advantage of other intelligent technologies such as machine learning.
• Many of our clients are looking to integrate their devices into their workflows, and this technology is part of that solution.

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