Organizations are increasingly focusing on the potential of generative AI (GenAI) to enhance productivity and foster innovation. While customer-facing applications have captured significant executive interest, many organizations recognize that GenAI’s true potential lies in the software development life cycle (SDLC). Recent IDC research highlights that software development and design will be the most impacted areas by GenAI this year, with application modernization and IT automation emerging as key use cases.
Legacy applications pose significant challenges, often hindering organizations from adapting to evolving business requirements. Techniques like rehosting, replatforming, and refactoring are commonly employed for modernization, yet complexities and a shortage of skilled developers impede progress. Additionally, organizations are leveraging IT automation tools, including observability and incident management, enhanced by GenAI’s natural language capabilities. These innovations aim to expedite problem resolution, enhance collaboration, and free up technical staff to focus on strategic initiatives that boost customer experience and drive competitive advantage.
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