C-Suite collaboration for sustained AI success
How to create value for organizations with Artificial Intelligence.
The need to adopt GenAI and Agentic AI solutions spans entire organization: both employees and top management are eager to explore their versatile, business-specific capabilities, which can be applied pervasively across all functions. This is creating an environment that fosters rapid experimentation and implementation of these technologies, starting with marketing, HR, finance, IT, legal, and supply chain.
To unlock the long-term value of AI, moving from experimentation to enterprise-wide transformation, leaders must build solid internal structures, address risks related to vendors and technologies, and adapt their roles along the way.
In this context, collaboration among C-Suite leaders is essential for effective and sustainable AI adoption, ensuring alignment with business strategy, driving innovation, and prioritizing data stewardship and governance
The road to effective AI adoption
For C-suite leaders, achieving long-term value from artificial intelligence requires a strategic understanding of this technology as a dynamic, multifaceted domain, embracing its complexity rather than oversimplifying it. It means recognizing that different AI technologies demand distinct infrastructures, talent, governance, and risk management approaches.
Collaboration among executives enables the design and support of an operating model that promotes both exploration and exploitation of AI across the organization.
ENG AI & Data
From Data to Artificial Intelligence: Services, Products, and Processes for Future-Proof Business.
AI end-to-end Journey
From knowledge to impact: understanding Artificial Intelligence to use it responsibly, effectively, and with vision.
5 questions to...
Igor Bailo
Interview to the Executive Director Eng AI & Data of Engineering.
5 questions to...
Gianmarco Ciarfaglia
Interview to the Senior Manager AI & Advanced Analytics of Engineering.
AI Governance: technology, processes, and people to build a responsible and secure ecosystem
AI is increasingly becoming part of production processes, public services, and our everyday lives. It is therefore essential to understand how to guide its development within a responsible and secure ecosystem. We discuss this with Cristian Melloncelli, Pre-Sales Manager, and Ioana Cristina Lupo Cotoi, Functional & Business Analysis Senior at Engineering.
ENG AI & Data
From Data to Artificial Intelligence: Services, Products, and Processes for Future-Proof Business.
AI end-to-end Journey
From knowledge to impact: understanding Artificial Intelligence to use it responsibly, effectively, and with vision.
5 questions to...
Igor Bailo
Interview to the Executive Director Eng AI & Data of Engineering.
5 questions to...
Gianmarco Ciarfaglia
Interview to the Senior Manager AI & Advanced Analytics of Engineering.
AI Governance: technology, processes, and people to build a responsible and secure ecosystem
AI is increasingly becoming part of production processes, public services, and our everyday lives. It is therefore essential to understand how to guide its development within a responsible and secure ecosystem. We discuss this with Cristian Melloncelli, Pre-Sales Manager, and Ioana Cristina Lupo Cotoi, Functional & Business Analysis Senior at Engineering.
Recommended for you
Explore additional content associated with the topic