Cassie Kozyrkov is a prominent South African data scientist and statistician, known for founding the field of Decision Intelligence. She served as Google’s first Chief Decision Scientist, where she played a key role in the company's shift towards an AI-first approach. Currently, she is the CEO of Data Scientific and a sought-after AI advisor, collaborating with leaders at organisations such as Lenovo, NASA, and Gucci.
Cassie joined Google in 2014 as a statistician in the Research and Machine Intelligence division. After a brief stint in Mountain View, she relocated to New York City. In 2016, she moved to the Office of the CTO and later joined the Developer Relations Team in 2017, focusing on applied AI and data science process architecture.
As a technology evangelist, Cassie has been recognised as a thought leader in data science. She has delivered keynote speeches at major conferences, including the Web Summit, and her writings have appeared in Harvard Business Review and Forbes. Her workshops at Google were so popular that lotteries were used to manage attendance, and she has trained over 20,000 Googlers in AI and data-driven decision-making.
Cassie is also a member of the Innovation Advisory Council of the Federal Reserve Bank of New York and invests in emerging product companies. Her engaging speaking style, combined with her technical expertise, makes her a captivating presenter who simplifies complex concepts for diverse audiences. She has spoken in over 40 countries and on all seven continents, including prestigious events like the United Nations and the World Economic Forum.
With a background in economics, mathematical statistics, psychology, and neuroscience, Cassie began her studies at Nelson Mandela University at the age of 15. She earned degrees from the University of Chicago, North Carolina State University, and Duke University, which recognised her as a Few-Glasson Distinguished Alumna for her contributions to AI and Decision Intelligence.
Cassie’s videos, articles, and courses aim to enhance decision-making skills, whether for personal dilemmas or organisational optimisation. She continues to inspire and equip individuals to become better decision-makers.
Cassie Kozyrkov, a leader in Decision Intelligence, addresses the complexities of decision-making in a data-saturated world. She demonstrates how businesses can convert overwhelming data into strategic actions, bridging the gap between insights and effective decisions. Attendees will gain practical strategies for leveraging technology and fostering a data-driven culture, ultimately enhancing their organisation's decision-making capabilities and unlocking untapped business potential.
Cassie Kozyrkov, the mastermind behind Google's AI-first transformation, urges leaders to embrace the AI revolution with vision and courage. She presents innovative strategies for integrating AI into business operations, fundamentally changing both work processes and potential outcomes. Attendees will gain a clear roadmap for becoming leaders in AI-driven innovation, empowering them to excel in a fast-evolving technological landscape.
Cassie Kozyrkov addresses the challenges organisations face in effectively implementing artificial intelligence. She clarifies the complexities of AI, identifies genuine opportunities for improvement, and highlights the two main threats in the field. Attendees will gain insights into successful AI innovation, learn to navigate common pitfalls, and discover how to transform current hype into sustainable growth for their businesses.
Cassie Kozyrkov, who led Google's AI-first transformation, emphasises that the true competitive edge lies in human judgement, not technology. She encourages leaders to redefine their roles in an AI-driven world, equipping them with mental agility and decision-making frameworks. Attendees will learn how to effectively harness AI's potential while avoiding the pitfalls of thoughtless automation, enabling them to think faster and lead smarter.
Cassie Kozyrkov addresses the growing trust gap between AI's capabilities and our understanding. Through the lens of a historical hoax, she highlights how even the most knowledgeable can be deceived. By examining both historical and contemporary examples, Kozyrkov emphasises the importance of recognising AI's strengths and limitations. Attendees will learn actionable strategies to enhance tech fluency, cultivate healthy scepticism, and establish digital trust habits for a confident future.
