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What is Sogeti Artificial Data Amplifier (ADA)?

In today's business landscape, data is a vital resource that organizations rely on heavily. By utilizing advanced AI models, companies can create and analyze detailed customer profiles, spot new trends, and explore additional growth opportunities. Nevertheless, the creation of accurate and dependable AI models requires extensive datasets, which brings forth challenges concerning both the quality and the volume of the information gathered. Additionally, stringent regulations like GDPR restrict the handling of certain sensitive data, including that which pertains to customers. This situation necessitates a novel approach, especially in software testing scenarios where acquiring high-quality test data is often challenging. Frequently, businesses turn to actual customer data, which can lead to potential breaches of GDPR and the accompanying threat of hefty penalties. Although experts predict that AI could boost productivity by at least 40%, many companies struggle to implement or fully leverage AI technologies due to these data-related challenges. To overcome these hurdles, ADA harnesses state-of-the-art deep learning methods to create synthetic data, offering a practical alternative for businesses looking to manage the intricacies of data use effectively. This forward-thinking strategy not only reduces compliance risks but also facilitates a smoother and more efficient integration of AI solutions into business operations, ultimately helping companies to thrive in a competitive environment.

What is GenRocket?

Solutions for synthetic test data in enterprises are crucial for ensuring that the test data mirrors the architecture of your database or application accurately. This necessitates that you can easily design and maintain your projects effectively. It's important to uphold the referential integrity of various relationships, such as parent, child, and sibling relations, across different data domains within a single application database or even across various databases used by multiple applications. Moreover, maintaining consistency and integrity of synthetic attributes across diverse applications, data sources, and targets is vital. For instance, a customer's name should consistently correspond to the same customer ID across numerous simulated transactions generated in real-time. Customers must be able to swiftly and accurately construct their data models for testing projects. GenRocket provides ten distinct methods for establishing your data model, including XTS, DDL, Scratchpad, Presets, XSD, CSV, YAML, JSON, Spark Schema, and Salesforce, ensuring flexibility and adaptability in data management processes. These various methods empower users to choose the best fit for their specific testing needs and project requirements.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Ansible
BlueSwan
Capgemini Intelligent Automation Platform
Chef
Cognizant
Cucumber
DXC Cloud
FitNesse
Gatling
GitHub
IBM Rational Build Forge
Jenkins
Kubernetes
Mercurial
Nexus AP & Payments Automation
Rackspace OpenStack
Salesforce
SaltStack
VMware Cloud

Integrations Supported

Amazon Web Services (AWS)
Ansible
BlueSwan
Capgemini Intelligent Automation Platform
Chef
Cognizant
Cucumber
DXC Cloud
FitNesse
Gatling
GitHub
IBM Rational Build Forge
Jenkins
Kubernetes
Mercurial
Nexus AP & Payments Automation
Rackspace OpenStack
Salesforce
SaltStack
VMware Cloud

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

Sogeti

Company Location

France

Company Website

www.sogeti.com/services/artificial-intelligence/artificial-data-amplifier/

Company Facts

Organization Name

GenRocket

Date Founded

2012

Company Location

United States

Company Website

www.genrocket.com/enterprise-features/

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