Work Stage

AI is transforming the world of work, redefining roles, skills, and operational models. This stage explores how companies can adapt to change, from intelligent automation to human-machine collaboration, to create more efficient, flexible, and innovative work environments.
Note: The program is still being finalized and may be subject to changes.

Work

Room Hosting

Stefano Besana
Stefano Besana
Partner | Human Capital
Deloitte Consulting
26 feb 11:40 - 12:20
40 min
This talk explores how AI is profoundly transforming the world of work, requiring a strategic rethinking within companies and influencing how employees approach their daily tasks. The topic will be examined by combining data on the business landscape with insights from Italian workers.
26 feb 12:30 - 13:10
40 min
Data, AI, GenAI… it seems like these are the only topics being discussed in companies today. However, behind this popularity lies a widespread yet dangerous myth: the belief that competitive advantage comes solely from algorithms, data, and technology. In reality, the successes and failures of businesses in recent months have shown us that the true key to extracting value from data lies in having the right people, with the right mindset, in the right roles. Taking data and AI to the next level is, first and foremost, a cultural and organizational challenge—one that requires specific expertise from both practitioners and leaders. Data professionals have an implicit responsibility to act as agents of change, navigating and leveraging the complex dynamics of power, culture, and informal networks within their organizations. Leaders, on the other hand, must break away from long-established patterns and rethink their approach to decision-making. In this talk, we will explore the main cultural and organizational barriers that hinder effective data management and AI adoption. We will conclude with practical, proven strategies to accelerate the creation of value from data and AI—starting today.
26 feb 14:10 - 14:50
40 min
The GENS Generations Observatory research highlights a complex landscape in how different generations approach AI. The data reveals a significant openness among Baby Boomers to AI’s potential (with 80% holding a positive view), while Gen Z, despite their high usage of AI tools, maintains a more balanced perspective. This talk will analyze these generational patterns, exploring the diverse ways AI is used: from the creative applications of younger users to the efficiency-driven approach of Millennials, and the strategic adoption by senior generations. The goal is to identify effective models for intergenerational collaboration through AI.
26 feb 15:00 - 15:40
40 min
What does it mean to implement AI in a company today? Despite its growing adoption and continuous investments by businesses, there is still considerable uncertainty about its scope of application. What tools can help design and frame AI initiatives in a way that aligns with broader business objectives? And what approaches are effective for implementing an AI system while considering risks, constraints, and organizational aspects? Gianluca Salviotti will explore these questions, drawing from the topics covered in his book “AI Management” (Egea).
26 feb 15:50 - 16:10
20 min
Are we sure that the most useful AI solution for my company should be based on large language models? And is it really relevant to choose between a Chinese, American, or European LLM? The global debate on these topics is extremely important, but perhaps we are confusing it with a simpler question: what do I need to grow, innovate, reduce waste, and create value? Maybe the AI that truly works isn’t the one that talks about itself, but the one that works for you.
26 feb 16:10 - 16:30
20 min
AI has already profoundly transformed the selection and development of the corporate workforce. In a world where candidates and employees have access to GenAI, everything changes. How should candidates be evaluated in this new scenario? And how can companies identify and develop unique skills within their workforce? In this speech, we dive into these challenges, providing solutions and ideas that companies are currently adopting.