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When comparing Cloud Machine Learning Engine and Next IT, it is simple to see which Artificial Intelligence Software product is the more suitable option. This means that your business will be able to choose most productive and efficient program. You can examine the details, like available tools, costs, plans offered by each vendor, offer conditions, and more We also let you check their total scores to know which one seems to be more beneficial for your firm. Cloud Machine Learning Engine has 9.9 points for overall quality and 90% rating for user satisfaction; while Next IT has 7.5 points for overall quality and 93% for user satisfaction. You can also find out which vendor is more reliable by sending an an email question to both and see which one replies without delays. We are aware that not all businesses have enough time to scrutinize a wide range of different solutions, so we prepared a list of suggestions that you may find useful. Our top choices for the category are: How moving to the Oregon/Washington border can save you money, How to get the third best phone Apple has ever made FOR FREE, ShipMonk Reviews: Pricing, Storage and Order Processing.

Compare Cloud Machine Learning Engine vs Next IT

NOAWARDS
YET

SmartScore™

OUR SCORE 9.6

User Satisfaction

CUSTOMER EXPERIENCE 90%

Pricing

Starting from $0.10

Pricing Model

Free

Monthly payment

One-time payment

Annual Subscription

Quote-based

List of Features

  • TensorFlow Framework
  • Prediction Services
  • HyperTune
  • Cloud Datalab
  • Portable Models
  • Machine Learning Samples Sharing

Pricing Info

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.

Model Training

  • US – $0.49/hour/ML Training UNit
  • Europe/ASIA – $0.54/hour/ML Training Unit

Prediction

  • US – $0.10/thousand predictions + $0.40/hour
  • Europe – $0.11/thousand predictions + $0.44/hour

 

Languages Supported

English

Chinese

German

Hindi

Japanese

Spanish

French

Russian

Italian

Dutch

Portugese

Polish

Turkish

Swedish

Prominent Clients

Airbus Defense & Space

Integrations

Cloud Machine Learning Engine integrates with the following business systems and applications.

  • Google Cloud Storage
  • Google BigQuery

 

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 modelling platform for data of all sizes.

Company Email

Contact No.

Company's Address

Google
1600 Amphitheatre Parkway
Mountain View, CA 94043
United States

NOAWARDS
YET

SmartScore™

OUR SCORE 7.5

User Satisfaction

CUSTOMER EXPERIENCE 93%

Pricing

By quote

Pricing Model

Free

Monthly payment

One-time payment

Annual Subscription

Quote-based

List of Features

  • Business Intents Library
  • Business Intent Discovery & Creation
  • Conversations Analysis
  • Conversations Evaluation
  • Reports
  • Custom Applications

Pricing Info

Next IT is an intelligent AI conversations services provider. To learn more about their enterprise pricing for the platform, contact sales through phone or email.

Languages Supported

English

Chinese

German

Hindi

Japanese

Spanish

French

Russian

Italian

Dutch

Portugese

Polish

Turkish

Swedish

Prominent Clients

SWBC, Charter Communications, U.S. Army

Integrations

No information available.

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

An intelligent in-app chatbot provider for enterprises around the globe.

Company Email

contact@nextit.com

Contact No.

Company's Address

12809 E. Mirabeau Pkwy
Spokane Valley, WA 99216
United States

All the data, information and statistics that we presented in this analysis were taken from official vendor websites, promotional content available online, real-life experience from real customers as well as our personal hands-on use of each app by an expert. We pay a lot of attention to comprehensively analyze every software, so we not only analyze it internally, but we also correlate our findings with opinions of other members from the B2B community.

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