Likelihood to Recommend Specifically, it starts processing millions of documents in minutes by leveraging the power of machine learning without having trained models from scratch. If any of the content contains personally identifiable information not only can Amazon Comprehend locate it but it will also redact or mask it. Using NLP techniques Amazon Comprehend goes well beyond keyword search or rules-based tagging to accurately classify documents. For my task or development, I cannot find any difficulties with Amazon Comprehend.
Read full review If you do not have a large budget and are a large organization, I would steer clear of Actuate. If you are looking to do very complex washboarding, I would not use them. Your developers have to be very skilled to work with this. Plan to bring in consultants if necessary to help your process. Adhoc reporting is weak. If your pricing is user based and you expand, this could be very expensive.
Read full review Pros Amazon Comprehend identifies the language of the text and extracts Key-phrases, places, people, brands or events. It can build a custom set of entities or text classification models that are tailored uniquely to the organisation's need Amazon Comprehend's medical can be used to identify medical conditions, medications, dosages, strength and frequencies from sources like doctor's notes, clinical trial reports and patient health records. This service is very good and with well an accuracy or confidence score. Read full review The report outputs can vary across different types such as HTML, PDF, and Excel Their open source offering is very sufficient There are great boards and blogs for developers and engineers to expand and use their features. The people from the company that I've worked with are professional and courteous. Read full review Cons It will be great if Amazon Comprehend provide support specifically for litigation or related text documents to extract insights from it. For REST API support using JAVA SDK, it will be great for developers if they provide support for testing without any credentials or account details. Setting up for REST API integration can be as simple as possible. Read full review The documentation on all the available features, but most importantly on the scripting side, can be improved The standard look & feel of some basic options, like parameter selection or sorting and filtering, looks dated and can't be customized The server portal needs to provide better tools More integration is needed with other OpenText products Read full review Likelihood to Renew I am no longer working for the company that was using Actuate but I believe they would continue to use it because the stitching costs would be to high. It would require a complete rewrite of the reports and the never version of Actuate (BIRT) even required an almost complete report rewrite
Read full review Usability It is quite intuitive to use. It is fit specifically for doing sentiment, emotion, and intention analysis as well as text classification and text summarization. I would have given 10 if it is fit for the purpose of doing image processing and analysis as well. There is a huge market to analyze video and image data.
Read full review Support Rating Always there on the front and backend for us and the client.
Read full review Alternatives Considered For natural language processing tasks or techniques, there are many service providers out there in the market such as Azure Cloud Services, IBM Watson and Google Cloud Platform (GCP), but compared with them, Amazon Comprehend is the best service provider in contents of accuracy, speed of processing multilingual text, supporting SDK for most of the languages and well documented.
Read full review It is vastly superior to these in many ways, for complex reporting it is a much more sophisticated solution. Visualizations are very good. Javascript extensibility is very powerful, others don't support this or as well. Pentaho and MS are both OLAP oriented. Pentaho is moving more toward big data, which was not our primary focus. Others are stuck in the Crystal Reports Band metaphor.
Read full review Return on Investment It supports better and accurately as compared with our existing or old implementations. So, we fulfil our needs as per clients' requirements and it will help to grow or improve client satisfaction. For these specific requirements, we do not require any machine learning engineers or related professionals to hire in our organisation. None of any negative sides can be affected our business or distract existing clients. Read full review Actuate can handle 50 to 60 sub reports inside a report very well. Dynamically creating the datasource, chart, graph, reports are the main advantages. We can do any level of drilling, and can create a performance matrix dashboard efficiently. Read full review ScreenShots OpenText Magellan Screenshots