Generative AI has sparked a paradigm shift in how organizations approach complex challenges to drive digital transformation initiatives. Application modernization is intricately linked to digital transformation as it represents a crucial component of an enterprise’s broader digital transformation journey. While the latter broadly entails leveraging digital technologies to revamp operations and processes, the former is essential in transforming legacy applications to mitigate overheads like capex and continual legacy costs. The success of an application modernization project hinges heavily on a well-defined strategy that aligns with an organization’s broader goals and stakeholder buy-in. High latencies often occur due to unplanned downtime when creating new features, which leads to subpar product releases and delayed ROI realization.
A robust application modernization strategy with GenAI and AI solutions can catalyze the transformation of legacy systems into future-ready applications. Future-focused enterprises win big on their application modernization projects when they shift their outlook to a vision of embedding AI as the enabler into every aspect of the application modernization pipeline. AI-led modernization initiatives will vastly improve team productivity and engineering efficiencies while enhancing time to market and costs. Becoming a leader in modern application development entails building strategic partnerships with hyper scalers and designing proprietary AI platforms and accelerators that aid in quicker time to market for customers to realize better product outcomes.
