C3 AI Platform is a platform for designing and deploying enterprise-scale machine learning applications. With a set of low-code development tools and native integrations to a wide array of data sources, C3 AI Suite aims to help enterprises turn raw data into forecasts, insights, and actions.
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Mendix
Score7.1 out of 10
Enterprise companies (1,001+ employees)
Mendix is a low code platform-as-a-service offering with mobile and social extensions. Mendix was acquired by Siemens August 2018.
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.
Mendix excels in scenarios involving Business Process Automation, making it a strong choice for applications requiring workflow automation, including processes like request approvals, document management, and other business workflows.Conversely, Mendix may be less suitable for projects that demand highly customized solutions with extensive custom coding. Its primary focus on low-code development may not align well with the requirements of projects that heavily rely on intricate and specialized coding.
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We're able to really easily develop different views that are very specific to a customer's needs or customer's different types of user needs. So for example, the production managers can have a certain view that's relevant to them and then certain line managers can have views that are specific to them that allow them to run different scenarios which they define. So it allows us to easily build customized apps for each different type of user.
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
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.
A 10 would say I have nothing to wish for. A 9 means I haven't seen anything better.This tool really helps you in the whole creation and maintenace cycle, so from requirements to building/modeling to testing to deploying to capturing feedback.
Response times are quick and you will get updates regularly about the status of your request. Even with very technical questions they have specialists that can help you with your problems it will give you an answer or help you with a work around.
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.
Mendix would be my preferred system all the way. The system is designed for these kinds of works. I've worked with WP and DNN but they should be used just for websites. To create an app for a business value, I would suggest Mendix. Also, the offline capabilities of Mendix have greatly improved since the deployment of Mendix 7.13.
It helps to speed up application development because of its low code by the fact that it's low code. It allows professional developers to focus more on specialized application development rather than the more routine application development that business IT and super users can do for themselves with some coaching from the IT department. So it's just allowing the more specialist professional developers.net, for example, Java in our organization to focus on more complex engineering application developments.
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
