What is better Sentient or Cloud Machine Learning Engine? Specific businesses demand different types of AI Software. To understand well which one fits your needs, think about evaluating various options feature by feature including their terms and costs. Similarly, you will get a quick idea of their general effectiveness and customer feedback by having a look at our smart scoring system.
The results are: Sentient (7.7) vs. Cloud Machine Learning Engine (9.6) for general quality and efficiency; Sentient (82%) vs. Cloud Machine Learning Engine (90%) for user satisfaction rating. Examine their strong and weaker points and decide which software is a better option for your company. An effective, simple way is to list the pros and cons of both applications side by side and see which software is better.
We realize that not all businesses have the time to scrutinize dozens of various services, so we came up with a list of suggestions that you may find useful. Our top choices for the AI Software category are: Azure Machine Learning Studio, Google Vertex AI, Salesforce Einstein.
Sentient offers multiple products for different industries. Companies interested in the cloud-based solutions can request for their enterprise pricing and schedule a demo via phone, email, or web form.
Cloud Machine Learning Engine is available in a free-to-use edition and a paid edition. The following is a summary of enterprise pricing plans for the paid version. Give the details a look, and select the best plan for your business.
Cloud Machine Learning Engine integrates with the following business systems and applications.
Google Cloud Storage
Google BigQuery
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Airbus Defense & Space
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
email
phone
live support
training
tickets
General Info
A cloud-based predictive analytics modeling platform for data of all sizes. Its deep learning capabilities enables it to run any type of TensorFlow model and design machine learning models. Cloud Machine Learning Engine is also integrated with Google Dataflow, thus allowing access to Google BigQuery and Google Storage.
No AI Software will be perfect enough to cover all the requirements of a company. While key features of Sentient and Cloud Machine Learning Engine are obviously a priority you should also carefully analyze the integrations offered by each solution. Quote frequently you will already be making use of various kinds of SaaS software in your company and it’s definitely better to select solutions that integrate well with one another. With that approach you can be certain of a smooth transfer of data between your teams and services, which can considerably reduce time devoted to migrating between one app and the other.
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