Artificial Intelligence

Strategic Value Sharing and Organisational Adaptation: Priorities and Constraints for AI in the Enterprise

The indications that emerged from the States-General for Digital Sustainability point to appropriate strategies for the adoption of technology with a view to sustainability, to be re-evaluated for its content and strategic value

by P.Sol.

(Adobe Stock)

3' min read

3' min read

Moving from a view of artificial intelligence as mere technology to a broader consideration as its content and strategic value to be shared with management and accompanied by an adjustment of the entire internal organisation, under the banner of sustainable solutions resulting from a discussion with technology providers.

These are the strategic priorities in the conscious use of artificial intelligence identified by the C-Levels of the 150 leading Italian companies of the Foundation for Digital Sustainability community gathered in the context of the General States of Digital Sustainability. The aim of the survey is to identify the conditions for developing a shared approach to the adoption of AI, analysing its impact on the corporate organisation, and analysing the priorities and constraints related to adoption.

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At the top of the list of priorities, with a score of 4.4 out of 5, is the need to foster an integrated and shared approach within the frontline management of companies in order to pursue a vision of AI as a strategic value for the company, which goes beyond mere technical expertise through collaboration between different business functions. This implies that companies and CIOs adopt 'an approach to AI as content, not just as technology'.

The third priority is organic sharing with the rest of the company, thus coordinating and transforming the organisation. In fact, management must be able to become more and more a promoter of virtuous processes, indicating the elements on which it is appropriate to focus in order to develop applications, which 'must be designed considering both the technical content and the social, economic and environmental spin-offs'.

In third place is corporate policy: this involves identifying areas where AI can be applied in accordance with corporate policy and the AI Act, to ensure responsible use and alignment with sustainability goals.

In second place as a strategic priority is the relationship with Big tech, based on the opportunity to structure strategic relationships with large technology providers, identifying the distinctive elements of a sustainable AI that reflects the company's cultural heritage and values, referring to the values identified in the Manifesto for Digital AI Sustainability.

Among the obstacles to be overcome on this strategic path, the C-Levels point to the need for a dedicated manager, a chief artificial intelligence officer, in a position to co-ordinate with the other front-line managers, a defined organisation with appropriate role allocation, the provision of expertise, the need for policy conformity and systemisation for technology choices.

In this key, the number one strategic priority in the short term is the availability of quality data and their management. Making sustainable use of AI, in all its possible declinations, cannot in fact disregard the accuracy of the data on which it is applied: all this requires a general awareness of the value of data and of the role each should play in its management, through a structured and secure methodological approach.

Next, the managers pointed out the concerns related to the sustainability of artificial intelligence: from the promotion of a sustainable approach in the life cycle of technologies, from definition to decommissioning, to the definition of criteria for evaluating the sustainability level of solutions to balancing with the environmental impact of AI, these are all issues that companies have to learn to deal with. By investing in widespread understanding and awareness throughout the company.

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