Iacovone (Bip): “AI only creates value with reliable data and shared leadership”
Artificial intelligence has now become an integral part of corporate decision-making processes, but simply adopting new tools is not enough to bring about a structural increase in productivity. The challenge lies in the quality of the data, the review of processes, the ability to integrate AI systems into organisational models, and leadership capable of driving change. According to Donato Iacovone, chairman of Bip, simply distributing AI licences to employees is not enough to generate value: a shared vision is needed, one capable of transforming AI from a collection of individual tools into a widespread organisational capability.
How can artificial intelligence add value for businesses?
“Let’s start with a simple observation: we operate in a part of the world that, to a large extent, adopts AI models developed by others. This means that the competitive advantage does not lie in the model itself, but in the ability to adapt it to business contexts, changing the way we work. It is not enough simply to introduce a new technology: we need to review the operating model and ensure that agent-based artificial intelligence works alongside people.”
Why isn’t it enough for companies to focus solely on technology?
“The commercial drive of those producing artificial intelligence solutions can lead companies to believe that simply increasing the number of AI licences in use is enough. The result is a ‘fragmentation’ of initiatives, with departments within the same company using AI models in an isolated and uncoordinated manner. To generate value, however, a genuine evolution of the management model is required – one capable of integrating AI into processes, responsibilities and decision-making models.”
