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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Amazon SageMaker Unified Studio provides a seamless and integrated environment for data teams to manage AI and machine learning projects from start to finish. It combines the power of AWS’s analytics tools—like Amazon Athena, Redshift, and Glue—with machine learning workflows, enabling users to build, train, and deploy models more effectively. The platform supports collaborative project work, secure data sharing, and access to Amazon’s AI services for generative AI app development. With built-in tools for model training, inference, and evaluation, SageMaker Unified Studio accelerates the AI development lifecycle.

Description

Enhancing model performance and conducting scenario analyses through simulations with historical datasets is essential for progress. Collaboration is streamlined across data governance, access management, and version control. With Ikigai's ready-to-use integrations, you can effortlessly incorporate a wide range of tools that fit seamlessly into your existing workflows. Ikigai offers over 200 connectors, allowing you to connect to virtually any data source you can imagine. If you're looking to deploy your machine learning pipeline to a website or dashboard, Ikigai’s web integrations make that process straightforward. Utilize triggers to initiate data synchronizations and obtain updates every time you execute a data automation flow. In addition, you can connect to your own APIs or develop new ones for your data stack, ensuring a smooth integration with Ikigai. This flexibility empowers teams to adapt quickly to changing data landscapes and leverage insights effectively.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

SQL
Amazon DocumentDB
Amplitude
App Store
AppsFlyer
Braintree
Dropbox
Freshdesk
HubSpot CRM
LinkedIn
LinkedIn Ads
MongoDB
Pendo
PyTorch
QuickBooks Online
RingCentral RingCX
Salesforce Agentforce Marketing
Segment
Xero
YouTube

Integrations

SQL
Amazon DocumentDB
Amplitude
App Store
AppsFlyer
Braintree
Dropbox
Freshdesk
HubSpot CRM
LinkedIn
LinkedIn Ads
MongoDB
Pendo
PyTorch
QuickBooks Online
RingCentral RingCX
Salesforce Agentforce Marketing
Segment
Xero
YouTube

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/sagemaker/unified-studio/

Vendor Details

Company Name

Ikigai

Website

www.ikigailabs.io

Product Features

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Product Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Alternatives