Christos Leivadiotis
Enterprise Architect for Cloud and Artificial Intelligence, Coca Cola Hellenic
Christos Leivadiotis is a distinguished technology executive with over 25 years of experience, specializing in artificial intelligence and IT innovation. Based in Athens, Greece, he has a robust background in developing and implementing AI-driven solutions that enhance business operations and customer experiences. As a Chief Technology Officer and EA, Christos has led strategic AI initiatives, integrating machine learning models and AI technologies to drive digital transformation and operational efficiency. His expertise includes AI model development, machine learning frameworks (such as Python, Scikit-learn, Azure and Hadoop), and strategic IT planning. Christos has successfully managed large-scale AI projects, ensuring reliability, transparency, and bias mitigation in AI applications. He is adept at aligning AI solutions with business goals, fostering innovation, and improving team performance through effective leadership. Christos holds a Master of Science in Advanced Computer Science with a specialization in Artificial Intelligence from Manchester University and a Bachelor of Science in Computer Science from Sheffield University. His contributions to AI and technology have been recognized with multiple awards for excellence in eCommerce and customer experience.
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Upcoming Sessions
A.I. Summit
March, 14, 2025
10:55 -
11:25 EEST
30 MINS
Addressing Bias, Transparency, and Reliability in Decision-Making
brAInbank - NextGen Knowledge Management System power by Agentic AI
This session will explore AI applications, focusing on their definition and importance. We'll cover bias in AI, looking at its types, impacts, and ways to reduce it. We'll also discuss transparency in AI, highlighting its importance and how to achieve it through explainable AI and open-source models.
Reliability in AI will be addressed, with an emphasis on thorough testing and error handling. We'll identify challenges like complexity and data privacy, and discuss solutions such as regulatory frameworks. A case study on brAInbank, a NextGen Knowledge Management System powered by Agentic AI, will offer practical insights.
Finally, we'll look at future directions in AI, including emerging trends and innovations, and wrap up with a summary and Q&A session.
Reliability in AI will be addressed, with an emphasis on thorough testing and error handling. We'll identify challenges like complexity and data privacy, and discuss solutions such as regulatory frameworks. A case study on brAInbank, a NextGen Knowledge Management System powered by Agentic AI, will offer practical insights.
Finally, we'll look at future directions in AI, including emerging trends and innovations, and wrap up with a summary and Q&A session.
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