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What is TAZI?

TAZI focuses on delivering concrete business outcomes and enhancing return on investment through predictive insights powered by artificial intelligence. Its user-friendly platform caters to a diverse range of business professionals, from analysts to top executives, ensuring accessibility for all. With the TAZI Profiler, users can swiftly understand and extract valuable insights from their machine learning-ready data sources. Furthermore, TAZI offers business dashboards and explanatory models that aid in comprehending and validating AI models before their implementation. The platform is also adept at pinpointing and predicting various operational segments to boost ROI effectiveness. In addition, it simplifies the evaluation of data quality and the extraction of essential statistics by automating the often time-consuming processes of data discovery and preparation. TAZI enhances the feature engineering process by providing recommendations, including those for intricate features and data transformations, enabling users to effectively tap into their data's full capabilities. Ultimately, TAZI stands out as a holistic solution for businesses eager to harness the power of AI to drive success. The platform not only facilitates informed decision-making but also encourages a data-driven culture within organizations.

What is Amazon SageMaker Data Wrangler?

Amazon SageMaker Data Wrangler dramatically reduces the time necessary for data collection and preparation for machine learning, transforming a multi-week process into mere minutes. By employing SageMaker Data Wrangler, users can simplify the data preparation and feature engineering stages, efficiently managing every component of the workflow—ranging from selecting, cleaning, exploring, visualizing, to processing large datasets—all within a cohesive visual interface. With the ability to query desired data from a wide variety of sources using SQL, rapid data importation becomes possible. After this, the Data Quality and Insights report can be utilized to automatically evaluate the integrity of your data, identifying any anomalies like duplicate entries and potential target leakage problems. Additionally, SageMaker Data Wrangler provides over 300 pre-built data transformations, facilitating swift modifications without requiring any coding skills. Upon completion of data preparation, users can scale their workflows to manage entire datasets through SageMaker's data processing capabilities, which ultimately supports the training, tuning, and deployment of machine learning models. This all-encompassing tool not only boosts productivity but also enables users to concentrate on effectively constructing and enhancing their models. As a result, the overall machine learning workflow becomes smoother and more efficient, paving the way for better outcomes in data-driven projects.

Media

Media

Integrations Supported

Amazon Athena
Amazon EMR
Amazon Redshift
Amazon S3
Amazon SageMaker
Amazon SageMaker Feature Store
Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Apache Parquet
Apache Spark
Databricks Data Intelligence Platform
Facebook Ads
Google Analytics
JSON
PySpark
SAP Cloud Platform
Salesforce
Snowflake
pandas

Integrations Supported

Amazon Athena
Amazon EMR
Amazon Redshift
Amazon S3
Amazon SageMaker
Amazon SageMaker Feature Store
Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Apache Parquet
Apache Spark
Databricks Data Intelligence Platform
Facebook Ads
Google Analytics
JSON
PySpark
SAP Cloud Platform
Salesforce
Snowflake
pandas

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

TAZI

Date Founded

2015

Company Location

United States

Company Website

www.tazi.ai/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/sagemaker/data-wrangler/

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Categories and Features

Data Preparation

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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