About Ali Rebaie

AI Phenomenologist and Global Keynote Speaker

Ali advises leaders on AI-based scenario planning and strategic adaptability to help them make better decisions during uncertain times.

ali rEBAIE in a nutshell

Short Bio

Ali Rebaie is an AI phenomenologist/ anthropologist, industry analyst and global keynote speaker. He founded Rebaie Analytics Group in his early 20s which had quickly grown a global Fortune 500 clientele base across various industries. He has been listed consecutively among the top 100 AI Influencers globally. Ali studies how human phenomenological experiences with technology have shaped, and been shaped by, societal structures and cultures. Ali started his career in AI creating his first neural network for forensics more than 15 years ago. Recently, Ali spearheaded Kiangle.ai, pioneering the development of an AI-based multi-risk scenario planning platform and leading a team of R&D in Generative AI Agents.

By now, he has delivered keynote speeches in more than 30 cities across all the world’s continents in top technology events like MWC Barcelona and Hannover Messe. Ali also appeared in leading global media outlets including WIRED, Reuters, BBC, El Economista, and Vision Magazine. Ali is also a jury member and reviewer in leading AI competitions and IEEE conferences, visiting professor at leading universities like Tsinghua University in China, developed the Expert Seminar Series on AI at the University of California Berkeley, and was also an Advisory Board member of the internationally renowned Boulder BI Brain Trust (BBBT).

My Main Contributions to AI

In the evolving landscape of Generative Artificial Intelligence, I navigate through its multifaceted impact on our societies, economies, and personal lives. Here is how I help people, corporations, and governments become strategically adaptable for future uncertainties:

How to remain relevant and effective in an AI-driven future? Identify and cultivate the skills and strategies essential for navigating our AI-shaped future, ensuring dexterity, adaptability and resilience amidst technological disruptions.

Helping in taking better decisions at various levels from personal and career decisions to organizational and societal strategy formulation. Engage with an interdisciplinary approach of AI, mathematical simulations, and scenario planning methodologies, understanding how to employ strategic foresight and decision intelligence to navigate through uncertainties and complexities and guiding through the decisions that need to be made at business, personal, career, and societal levels.

Explore the implications of AI on children and future generations, understanding how to shape educational strategies that ensure they are ready to navigate and shape their future effectively. Understanding and mitigating the potential impacts of AI on child development, learning, and societal participation.

How can city architecture shape human lived experience and what should the cities of tomorrow look like from a human science ands AI perspective? Explore how AI is shaping the architecture and planning of future cities, drawing insights from historical architectures and ensuring the creation of human-centric, smart urban environments.

In an era of sophisticated manipulation by AI, the integrity of individual decision-making is at risk. Will we retain the autonomy and know our minds to choose our attitudes, or will powerful arguments strip us of this freedom? The fear lies in the vulnerability of our own minds, as external threats pale in comparison. As Viktor Frankl eloquently stated, “Everything can be taken from a man but one thing: the last of human freedoms – to choose one’s attitude.” This struggle is exacerbated by subtle psychological tactics and the intentional spread of misinformation, which exploit vulnerabilities in our cognitive processes to shape behavior and opinions without our explicit awareness. Business leaders too must be vigilant in recognizing and mitigating these influences to ensure sound decision-making and strategic planning in an increasingly AI-driven world.

My journey in a nutshell

How I Got Into AI?

I enjoyed pattern recognition because I exhibited a curiosity about patterns and relationships in the world around me since I was a toddler. More than 15 years ago, I developed a machine learning neural network to remove blurriness from a very tiny magnifying lens which I mounted to a mobile phone camera, acting as a portable microscope to enable forensic investigators to quickly capture high-resolution images of evidence directly at the scene. Prior to that, I was also fascinated by data warehouses. Right after graduation, I learned from the author of one of best books on data warehousing, Claudia Imhoff when she invited me to her BBBT industry analyst consortium with AI vendors back in 2011. For someone with a passion for analytical thinking, the beauty of geometric forms and the elegance of geometric proofs can be sources of inspiration and fascination. Traveling the world at a young age and visiting all world’s continents in my 20s helped me grew my anthropologist in me, for example, visiting Alhambra’s architectural wonders, I became interested in the multidisciplinary human science and philosophical perspective of AI systems which can be designed with a focus on human-centered principles.. In 2013, I was a public speaker in one of the first big data conferences globally. Once I became in my 30s, I have had founded and led three AI companies in Europe, Middle East, and Asia.