Ricardo Cappra is a researcher in analytical culture, author, and entrepreneur.
He is the founder of the Cappra Institute, an international research institute based in the USA, with laboratories and consulting and education initiatives in Latin America and Europe. His research focuses on the impact of data and artificial intelligence on society and business, exploring how these technologies transform decision-making, innovation, and organizational dynamics. Based on his studies, he develops innovative methods, projects, laboratories, and startups that drive analytical development in people and organizations worldwide.
With a career that began in data science and information technology in 1998, Cappra expanded his focus to understand the interdependence between data, humans, and machines. As a researcher and philosopher of analytical culture, he explores the relationship between technology and society, combining his technical expertise with a strategic vision of digital transformation and data-driven decision-making.
Cappra is a postgraduate and MBA professor and is deeply involved in corporate education, helping companies develop analytical and cultural skills for data-driven decision-making, enhanced by artificial intelligence. His expertise has been crucial in transforming the analytical culture of major organizations, including the U.S. Government, Abbott Laboratories, Unilever, B3, Banco do Brasil, Gol Linhas Aéreas, Banco Santander, UOL, Whirlpool, World Bank, Sebrae, Rede Globo, Banco Itaú, Ambev, among others. His work has been widely featured in global conferences and specialized media, solidifying his position as a reference in the intersection of data, human behavior, and organizational strategies.
What does he talk about?
Ricardo Cappra’s talks focus on the impact of data on organizational culture, decision-making, and human behavior. He explores how analytical culture can transform organizations, drive innovation, and improve strategic efficiency. His topics include business adaptation to the data era, human-machine interdependence, AI ethics, and the future of data-driven decision-making. He connects different disciplines to offer a comprehensive view of the information revolution and its effects on society.
Key Topics:
Analytical Culture in Organizations: How to develop a data-driven mindset and integrate analytical culture into corporate decision-making, automated by artificial intelligence.
The Data and AI Revolution: How technological advancements are transforming markets, professions, and the daily operations of organizations.
Human-Machine Interdependence: Insights on the collaboration between human intelligence and artificial intelligence in the workplace and society.
AI Ethics and Responsibility: Challenges and responsibilities of AI-assisted decision-making and the ethical implications of data usage.
Data-Driven Decision-Making: How to leverage data for business strategies, optimize processes, and enhance organizational efficiency.
Innovation and Data: How organizations can use data analytics to foster innovation and stay competitive in a rapidly evolving landscape.