Sanne Kanis
With 15 years of experience in the big tech and startup landscapes, Sanne Kanis has developed a deep insight into business development and commercial strategies. Her expertise lies in identifying emerging trends and translating these insights into practical solutions that help organizations grow and innovate.
Sanne has previously helped companies like Google, Spotify, and Booking establish successful strategies. She is the founder of the audio startup Abel, a columnist at the FD, and the author of three industry-focused books: the novel De bubbel, the book Digital Dilemmas: How Technology Affects Our Lives, and the etiquette guide Don’t Text During Dinner. These publications reflect her passion for understanding market trends and translating complex concepts into actionable insights.
As a keynote speaker, Sanne offers valuable perspectives on commercial opportunities and strategic growth. She is ready to inspire and assist you in elevating your concepts and ambitions to the next level.
Some of her lectures:
Content Creation as a Business Model
In this lecture, Sanne discusses the monetization and exploitation of content. Drawing from her experience at Spotify, various startups she has worked with, and her own audio startup, Abel Entertainment, she provides an overview of new opportunities and revenue models for content creation. She delves into new technologies such as AI, machine learning, and data analytics, and how these can transform content creation.
Innovation in the Dutch Startup Ecosystem: Success Factors and Opportunities for Growth
From startup to scale-up. Based on her experience at Spotify, Booking, and other startups, Sanne shares the challenges of growth and how companies can scale internationally. How can you use innovation as a driver? And how are Dutch companies innovating with a focus on sustainability and technological advancement, like AI?
Inclusive Algorithms
A timely and engaging lecture on the impact of diversity in technology and the role of algorithms in our daily lives. This presentation examines how algorithms often disadvantage women and other underrepresented groups, with recent examples such as the rise of OpenAI and the ongoing discussion around the ethics of artificial intelligence. We look at cases where algorithms have led to discrimination, such as in recruitment processes and facial recognition technology.
The FD Column by Sanne Kanis