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Average Ratings 0 Ratings

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ease
features
design
support

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Description

AWS Transform is an innovative AI service offered by Amazon Web Services that facilitates the rapid modernization of outdated workloads, particularly those associated with .NET, mainframe systems, and VMware setups. Leveraging AWS's extensive experience in migration and modernization, this service utilizes specialized AI agents to perform a variety of tasks, including assessment, code analysis, dependency mapping, refactoring, decomposition, validation, and planning, all of which can occur simultaneously to enhance the efficiency of large-scale transformations. Teams from different disciplines can work together and oversee modernization projects from start to finish using a collaborative workspace and a natural-language chat interface. According to AWS, AWS Transform can accelerate the porting of .NET applications by up to four times, significantly hasten VMware configuration conversion, and shorten mainframe migration timelines from years to mere months. Furthermore, this service aims to lower costs associated with legacy licensing, infrastructure, and ongoing maintenance, making it a valuable tool for organizations looking to streamline their operations. Overall, AWS Transform appears to be a comprehensive solution that not only simplifies the modernization process but also enhances collaboration among teams.

Description

Introducing a comprehensive solution for navigating the complexities of Digital Reinvention. This highly automated and reliable platform allows for swift deployment while minimizing both risk and costs. Transformer adeptly analyzes software applications, extracting their original coding structures and semantics to produce models that can be either tidied up by eliminating redundant code or transitioned into a new programming language, or even restructured into a sophisticated multi-tier architecture. With automation rates exceeding 80%, the platform ensures precise syntactic and semantic translations of legacy systems, effectively safeguarding business logic and significantly shortening the time-to-market compared to traditional methods. By employing cutting-edge analysis and detection algorithms, it adeptly identifies and eliminates dead and duplicate code, substantially lowering your technical debt. In addition, the platform features over 50 aesthetically pleasing widgets and layout templates that allow the modernized applications to function seamlessly across all contemporary screens and mobile devices. Enhanced with Localization and Accessibility support, these applications are designed to be inclusive, ensuring availability for all users, regardless of their location. This comprehensive approach not only streamlines the digital transformation process but also enhances the overall user experience.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

.NET
Amazon Web Services (AWS)
IBM z/OS
VMware Cloud

Integrations

.NET
Amazon Web Services (AWS)
IBM z/OS
VMware Cloud

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/transform/

Vendor Details

Company Name

Morphis Tech

Country

Portugal

Website

morphis-tech.com

Product Features

Forms Automation

Approval Process Control
Archiving & Retention
Collaboration
Document Indexing
Drag & Drop
Full Text Search
Remote Document Access
Rules-Based Workflow
Text Editing
Version Control

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