HARNESSING ARTIFICIAL INTELLIGENCE: ELEVATING AGILE DESIGN AND FOSTERING INNOVATION IN THE IT LANDSCAPE

Abstract

Objective: To investigate the integration of AI in Agile design and product innovation processes within the IT industry.

Methodology: A mixed-methods approach was employed, combining quantitative surveys and qualitative interviews/case studies. Data was collected from 265 respondents, capturing diverse perspectives on AI adoption levels, specific applications, and the associated challenges in Agile design and product innovation.

Key Findings: The study supported AI's positive impact on efficiency, productivity, and innovation. AI significantly enhances Agile methodologies' time efficiency, defect detection, risk identification, and real-time adjustments. It also accelerates data analysis and innovation processes and provides valuable market insights for product innovation. However, significant challenges related to skill gaps and privacy concerns were identified, highlighting the need for specialized training and robust privacy measures.

Conclusion: AI is a valuable asset in Agile methodologies and product innovation, enhancing various aspects of these processes. However, addressing skill gaps and privacy concerns is crucial for maximizing AI's potential and ensuring its effective and responsible use in the IT industry.