Chetu provides a complete software development service, including for the latest AI technologies, helping enterprises fill skill gaps and de-risking use of novel technology.

Summary

Catalyst

The rapid pace of advances in artificial intelligence (AI) capabilities such as large language models (LLMs) is making previous generation AI and machine learning (ML) applications outdated. The challenge for enterprises wishing to exploit this technology is in upskilling their developers with the latest innovations. With AI skills in short supply, Chetu can step in to provide a complete development service, de-risking the use of novel technology and relying on its AI-skilled workforce to rapidly deliver a solution.

Omdia view

The pace of change in software application development has never been so intense and rapid as the period we are currently experiencing. Digital transformation has been a major driver for businesses since the internet changed how business is conducted. On top of this the cloud and cloud native computing have changed optimal application architectures. Legacy systems and applications that are no longer fit for purpose are being modernized to exploit the benefits of containerized microservices and serverless services. Against this background of change, AI adds a new dimension of complexity for beleaguered enterprise developers. Making effective use of deep learning models, generative AI (GenAI) tools, and LLMs requires expertise that enterprises are unable to source. Especially with customer-facing applications, or solutions built for external markets, getting it wrong can destroy an enterprise’s reputation. This is where an application development service provider such as Chetu can help enterprises get up to speed with the latest innovations in AI, as well as in cloud native computing, and fill the gap between an enterprise’s aspirations and ability to deliver.

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