'60 Leaders' is an initiative that brings together diverse views from global thought leaders on a series of topics – from innovation and artificial intelligence to social media and democracy. It is created and distributed on principles of open collaboration and knowledge sharing. Created by many, offered to all.
ABOUT 60 LEADERS
'60 Leaders on Artificial Intelligence' brings together unique insights on the topic of Artificial Intelligence - from the latest technical advances to ethical concerns and risks for humanity. The book is organized into 17 chapters - each addressing one question through multiple answers reflecting a variety of backgrounds and standpoints. Learn how AI is changing how businesses operate, how products are built, and how companies should adapt to the new reality. Understand the risks of AI and what should be done to protect individuals and humanity. View the leaders.
'60 Leaders on Innovation' is the book that brings together unique insights and ‘practical wisdom’ on innovation. The book is organized into 22 chapters, each presenting one question and multiple answers from 60 global leaders. Learn how innovative companies operate and how to adopt effective innovation strategies. Understand how innovation and experimentation methods blend with agile product development. Get insights from the experts on the role of the C-Suite for innovation. Discover ways that Innovation can help humanity solve big problems like climate change.
Do companies need a Chief AI Officer?
To remain competitive, companies across almost every industry are looking toward AI, as this technology is becoming ever more strategic. As AI adoption increases and its capacity to deliver competitiveness and optimization becomes critical, companies need to create new functions to meet the new reality. With the Digital Transformation underway, ensuring solid management and activation of AI plays a fundamental role in the business's success. Hence, it is reasonable to dedicate a C-level chair to AI. In general, companies do need a CAIO, especially if they struggle to understand the numerous opportunities made available by AI – opportunities that can benefit their consumers, teams, and business models; they need an AI leader, capable of leading each step of the delivery and governance of transformational AI initiatives and projects.
The CAIO should be a senior executive who leads the company's AI operations and drives the AI-related business strategy, along with initiatives that transform data into business insights. The AI Officer is typically in charge of a global team that delivers the AI vision, shapes the culture of AI, and helps to accelerate the journey towards a fully AI-driven company. The CAIO must have the capacity to deal with the large number of processes impacted by AI and must be able to apply this technology and the insights obtained to improve the performance of the company as a whole: the CAIO must be an executive who deeply understands the business and can apply AI to improve the way the organization processes information, makes decisions, discovers and fosters new business opportunities - ones that would be invisible without AI.
The role of the CAIO is still not well-defined; we will probably see a more robust definition of the boundaries of the role over the following years. Today, a CAIO is likely a technology person who profoundly understands AI innovation and processes but is not necessarily a data scientist or engineer. Data science skills and solid technical background is necessary, but they are not everything. A good CAIO usually comes with extensive service and consulting experience. Beyond having hard AI skills, the CAIO needs to deeply master corporate dynamics, be able to demonstrate empathy, and spread the word about the benefits of AI, while always keeping an effective balance between service and evangelism. The role also requires the ability to architect solutions that leverage AI.
Considering the disruptive nature of AI, the CAIO is responsible for tremendous organizational change and must be able to share the AI vision, drive adoption, and connect business and technology teams across the organization. Taking into consideration the increased collaboration and cross-functional work required for an effective AI strategy, being a champion of building relationships is vital for a CAIO – to ingrain innovation throughout the organization. In fact, the CAIO role is strongly innovation-driven and requires a deep business understanding and the capacity to identify opportunities to add value with AI and create differentiation.