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Explore Gretel.ai's Self-Guided Tours

Gretel.ai and Carahsoft have partnered together to provide a series of self-guided tours of Gretel.ai's products and features. Similar to a live demo, the self-guided tours explores how Gretel.ai's products and features applies to a specific technology vertical such as Artificial Intelligence.

 

Learn about Gretel.ai's benefits, watch a short pre-recorded demo video, and download related resources. If interested in furthering the conversation, you can also schedule a live demo with a Gretel.ai expert from Carahsoft. Start a Self-Guided Tour now by selecting one below: 

 

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Gretel.ai Artificial Intelligence Self-Guided Tour  

Gretel.ai Artificial Intelligence Self-Guided Tour

Gretel was created to help data scientists and developers test AI models without worry or security compromises through the usage of synthetic data. By developing artificial datasets with the same characteristics as an organization’s real data, developers can still create, develop, and test AI models that will work once launched into their organization’s live landscape. Available via AWS Marketplace, Google Cloud Marketplace, and Azure Marketplace, Gretel can start generating safe and accurate synthetic data and data models for your developers within minutes of downloading. Organizations can have peace of mind with Gretel as their synthetic data is provably private to mitigate GDPR, CCPA and HIPAA risks, and has led to zero fines from those safeguarding organizations.


Want to dive further into Gretel.ai's analytical tools and features?

Benefits Snapshot:

 

  • Built with compliance organizations like GDPR, CCPA and HIPAA in mind.
  • Can synthesize all types of data sets from Tabular, Unstructured Text, Time-Series, Relational and Images.
  • Available immediately via AWS Marketplace, Google Cloud Marketplace, and Azure Marketplace.
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Gretel Workflows

Gretel Workflows are automated, end-to-end solutions for integrating synthetic data into your existing pipelines using scheduling, cloud storage, database, data warehouse connectors and no-code configurations. This allows synthetic data to be created on-demand and made accessible wherever and whenever you need it.

Benefits:

  • Zero-shot prompting-no training data needed to generate correlated datasets
  • Augment-automatically add columns and records to existing data
  • Fill-in gaps-replace nulls and missing fields with realistic values
  • SQL-use a SQL schema or query to create an entire dataset with the correct datatypes
  • Regionalize-build datasets for different regions, including names, email domains, addresses and company names
  • Operationalize-generate millions of records and integrate them into your MLOps pipelines
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Gretel Workflows

Gretel Workflows are automated, end-to-end solutions for integrating synthetic data into your existing pipelines using scheduling, cloud storage, database, data warehouse connectors and no-code configurations. This allows synthetic data to be created on-demand and made accessible wherever and whenever you need it.

Benefits:

  • Easy to use, configure driven API
  • Can connect to various data sources such as S3 or MYSQL and schedule recurring jobs
  • Data is secure and easily shareable across an organization
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Gretel Evaluate

Gretel Evaluate is an integral component of Gretel's toolset tailored for both generating and evaluating synthetic data. Its primary purpose revolves around gauging the effectiveness and usefulness of synthetic data derived from Gretel's generation methods. This solution offers capabilities to gauge the resemblance between synthetic data and the initial dataset. It assesses parameters such as statistical congruity, correlations, distributions and other traits. This assessment is vital for users in determining the applicability of synthetic data across different scenarios, including machine learning model training or analytical tasks, ensuring it retains essential attributes of the original data while safeguarding privacy.

Benefits:

  • Gretel Evaluate furnishes an immediate report for each model you train, simplifying the comprehension of your data's performance across critical metrics and enabling direct comparison of results
  • Swiftly understands the performance of your synthetic data through a comprehensive Synthetic Data Quality Score (SQS) providing an overarching assessment
  • Monitor experiments or track data drift effortlessly by comparing numerous models and datasets using a concise 5-line code snippet

View Gretel's AI Resources