The Forces that Drive AI
Learn about the origins of the latest AI hype, the four dimensions that make Generative AI special, and how AI will impact the labor market and the global economy.
 

Aligning AI with Business Goals
Despite the rush toward implementing AI, proven management principles still apply. At the same time, not every business problem should be solved with AI.
 

Leading in the AI Era
A new C-Level role has entered the executive ranks, the Chief AI Officer (CAIO). How can CAIOs enable their organizations and manage expectations towards their stakeholders, and get their buy-in for AI projects?
 

Designing for People
When AI Leaders put the end user first (and not the end date), a product mindset flourishes. But it is not a certain path towards more adoption.
 

Cultivating an AI-Ready Culture
You need to help your organization develop AI literacy to find the most impactful opportunities for using AI in your business.
 

Harnessing Diverse Perspectives
When Humans and AI collaborate the best results are possible. As the AI Leader, your role is pivotal in building an idea pipeline for new AI capabilities as well as bringing business and technology teams together.
 

Establishing Principles for Human-Centered AI
For AI to serve us all, you need to ensure that your data and AI teams are diverse in gender, ethnic and professional background, and base your development on strong, operationalized AI ethics guidelines.
 

Ensuring Relevant Output
Large Language Models can generate human-like language, but they lack specificity. Prompting, retrieval-augmented generation, and fine-tuning can deliver more tailored results.
 

Mitigating Potential Risks and Threats
Given the pace of change and scale of AI, data privacy and ensuring secure operations are critical aspects to incorporate from the get-go.
 

Outlook: Where Are We Headed With AI
Emerging topics such as AI agents and multi-modal models will provide new opportunities for increased automation and autonomy in business.