IBM Watson Visual Recognition (discontinued) vs. MineralTree

As I mentioned before, it can only be employed in simple basic visual recognition applications. It can be employed in large projects and relying it on completely is not encouraged. It's better to create your own algorithms rather than using it. If you are from a non-programming background, then I may suggest you rely on this and use it to develop simple apps that can predict a few plants and animals.

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If you are looking to save time on recording transactions. This has been a great time saver, all transactions are easily reconciled and they are automatically posted in Netsuite.

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• Food recognition
• High reliability
• Speed

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• Great Customer Service. Whenever there is an issue they are very responsive in helping with the issue.
• At the time it was cheaper than Bill.com for most of the same functionality.
• Integrated with QuickBooks relatively well.

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• Not perfect
• Accuracy is doubted and sometimes it may not predict correctly.
• I think it should be improved and should add a few more functionalities.

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• We had some improvements that wanted to be made but so far over the 2 years with them they have made the updates we wanted.

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I am giving this rating on the basis of its usability in real-time applications and based on the interface to upload negative and positive images to train the AI. But it's not perfect and sometimes its predictions are wrong. On overall usability, it's better if you are planning on working with UI rather than using complex programs and algorithms on your own.

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It doesn't. Hands down Bill.com is a better platform that over time has only gotten better.

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• High cost if models are trained

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• Cost of AP.
• AmEx integration will allow us to accrue points on our card.

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Independently Invited by TrustRadius

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