One of the front-row candidates for disruption by artificial intelligence (AI) is software product and service development. AI is already leading to a paradigm shift in aspects such as coding, architecture, security, service management and ticketing, and personalization, providing new opportunities and risks. But the implications go well beyond new products and services and improved development approaches, into how software enterprises need to transform themselves across the board, from strategy and organization through to capabilities, resources, and ways of working.

In a data-driven world, product manufacturers have a stark choice – either digitize to become more flexible and customer-centric or be sidelined by nimbler competitors. They need to embrace the transformative opportunities that data and the Internet of Things bring to add value to their offerings and change their business models. All businesses understand the vital importance of collecting, analyzing, and acting on data to enable: New business models, such as offering as-a-service or outcome-based pricing, and entering the Industrial Metaverse