Unlocking GenAI's potential for Application Modernization

The must-read White Paper to discover the key success factors for fully harnessing GenAI to effectively transform outdated legacy systems into cutting-edge applications.

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The pressing need to update legacy system

Despite legacy and monolithic applications still being used to support core processes, their technological obsolescence is limiting business innovation.

IT executives face daily challenges such as:

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    A shortage of talent skilled in obsolete systems
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    Limited knowledge of the applications themselves
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    Rising operational costs associated with legacy infrastructure
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    Compliance and security concerns
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    Inability to leverage the benefits of cloud and modern technologies

The advent and rapid evolution of GenAI has introduced a convenient new way to modernize applications while reducing the cost, time, and risk of migration projects.

 Discover more in our White Paper!

More than simple code translation: a full application transformation powered by GenAI

GenAI offers the opportunity to semi-automate the reengineering and modernization of applications, not only translating code from legacy to modern programming languages, but also transforming the application's structure and its architecture through an iterative approach.
It can also generate technical documentation and produce test cases.

The high level of automation enabled by GenAI significantly reduces the effort and cost of modernization projects compared to traditional approaches,
with savings ranging from:

30% to 70%

Discover the full set of benefits in our White Paper

Avoid the Do-It-Yourself (DIY) approach

Simply plugging in an LLM is not enough for successful application modernization.
Effectively managing GenAI is key to achieving project success. Applications are complex and built with many interdependent components, so using an off-the-shelf LLM alone doesn’t solve the problem. To achieve project goals, it is necessary to combine:

  • Know how

    Solid know-how and experience in GenAI tools, LLM models, prompt engineering, directives, source and target application technologies, frameworks, and architectural patterns.
  • GenAI Engine

    An engine that industrializes the modernization process, capable of handling various source and target architectures, integrating with different LLMs to automate, orchestrate, and accelerate migration through an iterative approach.
  • Methodology

    A structured methodology that covers all phases of the migration journey, from source application analysis to code conversion and testing.

Discover how to approach your modernization project the right way, with the right tools, in our White Paper

Don’t miss the chance to discover how to harness GenAI for future-proof applications

Download the free White Paper, which includes:

  • an analysis of the limitations and risks posed by legacy systems;
  • a comparison of traditional modernization approaches;
  • an exploration of GenAI's unique advantages in code transformation, architecture upgrades, and documentation;
  • an outline of the challenges posed by AI and how to overcome them;
  • the fundamental role of modernization engines in accelerating and orchestrating transformation;
  • a structured four-phase methodology for successful GenAI-powered modernization.
Unlocking GenAI's potential for Application Modernization
Unlocking GenAI's potential for Application Modernization

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