Engineering and development departments face a pressing need to transform. While AI can be used to support growth and provide productivity gains in various areas, questions often concern where to start and how to scale.
Research conducted by international management consulting Arthur D. Little identified a staggering 900 potential use cases of AI within engineering and development.
As such, choosing those use cases that will scale and deliver lasting benefits can be difficult.
Putting people at the heart of AI
As well as picking the right areas for AI deployment, organisations have to ensure that projects actually deliver on their promised benefits. This requires looking beyond technology and overcoming a range of people-based challenges around capabilities, culture and building trust in AI.
Without engaging engineers and developers, any AI projects will suffer from a lack of adoption and fail to deliver lasting results.
The key to success is therefore to begin with users and their needs...