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Average Ratings 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

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Description

Amazon SageMaker equips users with an extensive suite of tools and libraries essential for developing machine learning models, emphasizing an iterative approach to experimenting with various algorithms and assessing their performance to identify the optimal solution for specific needs. Within SageMaker, you can select from a diverse range of algorithms, including more than 15 that are specifically designed and enhanced for the platform, as well as access over 150 pre-existing models from well-known model repositories with just a few clicks. Additionally, SageMaker includes a wide array of model-building resources, such as Amazon SageMaker Studio Notebooks and RStudio, which allow you to execute machine learning models on a smaller scale to evaluate outcomes and generate performance reports, facilitating the creation of high-quality prototypes. The integration of Amazon SageMaker Studio Notebooks accelerates the model development process and fosters collaboration among team members. These notebooks offer one-click access to Jupyter environments, enabling you to begin working almost immediately, and they also feature functionality for easy sharing of your work with others. Furthermore, the platform's overall design encourages continuous improvement and innovation in machine learning projects.

Description

Go.AI is a comprehensive AI infrastructure solution tailored for organizations that operate under strict regulations, such as financial institutions, insurance companies, and healthcare providers. The centerpiece of this platform is the Go1, a dedicated hardware appliance that operates on Go.OS, an operating system designed specifically for the deployment and management of AI models, as well as overseeing permissions and compliance processes. Its suite of software tools features Index Studio, which allows for the indexing of data across multiple connected systems without the need to relocate the original data, Go Assist to address inquiries from both customers and employees, and Go Studio to oversee knowledge management and workflow governance. The platform is versatile, supporting various deployment options, including on-premises, air-gapped, private-cloud, and hybrid environments. Additionally, it offers API access and software development kits (SDKs) for seamless integration with applications, enhancing the user experience with features like model monitoring, access controls, and comprehensive audit logging. These capabilities make Go.AI highly suitable for a range of applications, including knowledge retrieval, customer service optimization, document intelligence, and policy-driven assistance, ensuring that regulated organizations can leverage AI technology while maintaining compliance and security.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

No images available

Integrations

GitHub Yes 
Amazon S3 No 
Amazon SageMaker Yes 
Amazon Web Services (AWS) Yes 
Confluence No 
Databricks No 
Gmail No 
Google Cloud AutoML Yes 
Google Cloud BigQuery No 
Google Drive No 
Jira No 
Jupyter Notebook Yes 
MXNet Yes 
Microsoft Azure No 
Microsoft Teams No 
Python Yes 
R Yes 
R Markdown Yes 
Slack No 
TensorFlow Yes 

Integrations

GitHub Yes 
Amazon S3 Yes 
Amazon SageMaker No 
Amazon Web Services (AWS) No 
Confluence Yes 
Databricks Yes 
Gmail Yes 
Google Cloud AutoML No 
Google Cloud BigQuery Yes 
Google Drive Yes 
Jira Yes 
Jupyter Notebook No 
MXNet No 
Microsoft Azure Yes 
Microsoft Teams Yes 
Python No 
R No 
R Markdown No 
Slack Yes 
TensorFlow No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Enterprise plans use fixed per-seat pricing with unlimited queries; pricing is custom quoted. Deployment options include on-premises hardware, a dedicated private cloud (VPC), and hybrid configurations.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/sagemaker/build/

Vendor Details

Company Name

Go Abacus

Founded

2018

Country

United States

Website

go.ai/

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Product Features

Alternatives

Alternatives

No Alternatives