In an increasingly dynamic and interconnected world, organisations must be able to manage complex and innovative projects effectively.

For this reason, in the toolbox of managers, project management becomes fundamental because it provides models, skills, and tools to guide these processes efficiently and effectively while reducing the associated risks.

In particular, project management is important for innovation because:

• It helps to define the objectives of innovation and to develop a plan to achieve them
• It helps coordinate the activities of different teams and stakeholders
• It helps to manage the risks and opportunities associated with innovation
• Helps to communicate change to all stakeholders
• Helps manage resistance to change

Artificial Intelligence and Project Management

In the age of technological innovation, artificial intelligence (AI) is redefining the way companies operate, build knowledge and make decisions. In this context, the role and responsibility of the manager emerges even stronger, not only as a leader of change but also as a connector and interpreter of technology.

Let us analyse together why:

He builds bridges between technology and business: the role of the project manager is fundamental in creating within the organisation the link between the technological world and the needs of the business. Not only because he is the ‘interpreter’ of the technical aspects of ai and the company's strategic objectives, but also because he is responsible for the harmonious integration of technology into business processes.

Change management: the adoption of technologies such as ai often requires significant change in business processes. the project manager drives this change, ensuring that it is well planned and implemented with minimal disruption to the organisation.

Communication and training: a key aspect of the project manager's role is to clearly communicate the benefits and challenges of ai adoption to all levels of the organisation and to build the internal capabilities to bring value to the technology (e.g. training staff on new procedures and systems). Their ability to interpret and connect is not limited to just translating technical terms; it is an art that includes understanding human dynamics, business needs and the potential of technology.

Resource management:implementing AI requires a variety of resources, including time, personnel and budget. The project manager becomes responsible for the efficient management of these resources to ensure the success of the project.

Problem identification and resolution: during the process of adopting new technologies, impactful technical and organisational challenges may arise. The project manager is instrumental in quickly identifying these problems and finding effective solutions to counter and resolve them.

Evaluating impact and measuring results:it is the job of the project manager to assess the impact of AI implementation on business operations and to measure the results against the set objectives.

Continuous innovation: finally, the Project Manager promotes continuous innovation, encouraging the organisation to exploit the new opportunities that AI can offer and to adapt to technological evolutions.

The interpreter, in interlingual and intercultural communication, does not only translate words, but above all contexts, cultures and meanings.

He/she acts and integrates different cultures, enabling communication and mutual understanding between people who otherwise could not communicate due to language barriers, cultural differences, and different knowledge. The interpreter is also able to adapt quickly to various contexts and continue to learn in order to stay up-to-date with linguistic and cultural developments.

Bringing change into organisations means bridging the gap between technological innovation and operational capabilities within organisations. Project managers, with their unique ability to translate technological languages and contexts into understandable strategies and actions, facilitate the adoption and integration of advanced technologies, breaking down barriers and resistance to the adoption of new models and tools.