Harnessing AI for Development and Engineering Transformation

This report focuses on the transformative role of artificial intelligence (AI) in development and engineering practices. It outlines the urgent need for companies to evolve from traditional product-centric approaches to more integrated, smart system solutions. The report identifies significant challenges such as complexity, skills gaps, and limited data access, while also highlighting substantial opportunities for growth and productivity improvements. According to an Arthur D. Little (ADL) study, overcoming these challenges could potentially double growth and productivity and triple profitability for some organizations by 2030. The report emphasizes that AI is a critical technology for addressing these challenges, yet many companies are still in the early stages of AI adoption. It presents a roadmap for successful AI integration, detailing four key factors: AI democratization, ambidextrous organizations, robust governance, and scalable technology stacks. The report concludes with actionable recommendations for organizations aiming to lead in the evolving landscape of development and engineering.