Revitalizing digital transformation: Harnessing generative AI to improve modern software development. Credit: Drazen Zigic Digital Transformation is critical to modern enterprises, yet creating it remains inefficient. Nearly half of C-suite respondents report that over 30% of tech projects are late or over budget, with one in five dissatisfied with most outcomes. Generative AI is poised to redefine software creation and digital transformation. The traditional software development life cycle (SDLC) is fraught with challenges, particularly requirement gathering, contributing to 40-50% of project failures. A 2024 study found that three-quarters of product features are rarely used, underscoring the need for precision. And the challenges don’t end there. The testing phase, particularly user acceptance testing (UAT), can become a labor-intensive bottleneck — and a budget breaker. According to a 2023 Capgemini report , companies spend about 35% of their IT budget on testing — a figure that has remained stubbornly high despite advancements in automation. These challenges persist because companies still rely on traditional SDLC management methods, which can result in slow, error-prone processes. It’s time we demand a shift in our approach to the SDLC. How generative AI transforms the SDLC GenAI has emerged as a transformative solution to address these […]
