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Cem Otkun is a distinguished and forward-thinking leader in the fields of Artificial Intelligence, Data Science, and Machine Learning. With over two decades of experience, he has been instrumental in driving innovation and shaping AI strategy at Microsoft, where he currently holds a significant leadership role, such as Chief Data & AI Officer for specific divisions or global functions. Cem is recognized for his deep technical expertise combined with a strong business acumen, enabling him to translate complex technological advancements into tangible business value and customer-centric solutions. He is passionate about building and leading high-performing, diverse teams to tackle some of the most challenging problems using data and AI, with a focus on responsible AI development and deployment. His work often involves pioneering new approaches in areas like large-scale machine learning, generative AI, data platforms, and driving digital transformation initiatives for enterprise customers.
Cem Otkun's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Successfully architected and executed comprehensive AI and data strategies for major business units/product groups within Microsoft, leading to significant advancements in product capabilities, operational efficiency, and market differentiation.
Championed and led the development and integration of cutting-edge Generative AI and Large Language Model (LLM) technologies into core products and services, enhancing user experiences and unlocking new business opportunities.
Instrumental in recruiting, mentoring, and leading world-class data science, machine learning engineering, and AI research teams, fostering a culture of innovation, collaboration, and continuous learning.
Key contributor to enabling large enterprise customers to leverage data and AI for their digital transformation journeys, providing thought leadership and overseeing the development of scalable AI solutions and platforms.
Actively promotes and implements principles of Responsible AI, ensuring that AI systems are developed and deployed in a fair, transparent, secure, and accountable manner, contributing to industry best practices.
INSEAD - Year 2017
Koç University - Year 2017
Northwestern University - Kellogg School of Management - Year 2019
Harvard Business School - Year 2018
The London School of Economics and Political Science (LSE) - Year 2018
Università Bocconi - Year 2016
Özyeğin Üniversitesi - Year 2012
Başkent Üniversitesi - Year 2005
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