Where: Bldg 9, Lecture Hall 2322
Credit: 4
Description
Join us at this insightful session during the WEP event in KAUST, where we delve into the transformative world of generative AI and machine learning, focusing on their impact in reshaping user experiences. This session is crafted for innovators, technology leaders, and business strategists eager to explore the frontiers of AI applications in enterprise environments. Discover how cutting-edge technologies like ChatGPT and generative user interfaces are revolutionizing the way businesses interact with their customers, streamline operations, and foster innovation. We will explore practical examples and case studies demonstrating how AI can be leveraged to create more engaging, efficient, and personalized user experiences. Attendees will gain valuable insights into: The role of AI in enhancing customer engagement and satisfaction. Strategies for integrating generative AI and machine learning into existing business models. The future landscape of AI-driven solutions in various industries. Best practices for implementing AI technologies to maximize business value and stay ahead in the competitive market. This session is an unmissable opportunity for anyone looking to stay at the forefront of technological innovation and harness the power of AI to drive enterprise growth and success. Join us to unlock the potential of AI and transform your organization's approach to user experience and customer interaction.
Ayad (Ed) Sleiman
Ayad (Ed) Sleiman is the Head of Special Projects and former Head of Information Security at
King Abdullah University of Science and Technology (KAUST) with previous responsibility for
managing the university and city cybersecurity function as well as capacity building with focus on
diversity and inclusion in Cybersecurity. He has over 38 years of experience in the IT industry.
Prior to joining KAUST, Ed worked in security program management, executive management, and
deployment of country-scale security management systems at several companies, including Science
Applications International Corporation (SAIC), Informobiliy, Inc., The Orkand Corporation, and
CACI among others. Notable is his almost a decade as the Chief Information Security Officer of
KAUST.
He’s a frequent keynote speaker, panel moderator, panelist, and/or review board member at
numerous cybersecurity and risk management conferences and his claim to fame is The Human
Firewall Program™. In addition, he serves as an advisory board member for world leading
cybersecurity companies. He was recently honored with the “CISO of the Year Award” for his
contributions to the Cybersecurity field.
Ed received various degrees, the last out of which is a PhD ABD in Software Engineering from the
George Washington University in 2014. He is the recipient of 5 CISO awards and holds more
than a dozen professional certifications in the field.
Neel Jadhav
Neel is the VP of Customer Success at Katonic AI and looks after the successful delivery of Generative AI projects for Katonic AI's global customer base. Katonic AI is an Australian AI company that combines the revolutionary capabilities of Generative AI and the power of traditional machine learning all in one place. The Katonic Generative AI Platform is loved by Enterprises for its power and intuitiveness, allowing them to rapidly build Enterprise-grade AI Applications in days. This no-code platform is powered by the highly awarded Katonic Machine Learning Operations (MLOps) that Enterprises use to manage the entire process of data preparation, model training, model deployment, model monitoring, and automation end-to-end with high accuracy, reliability, and efficiency.
Subhrajit Mohanty
Subhrajit is the VP of Engineering at Katonic AI and looks after the development of the overall platform and heads research and development. Katonic AI is an Australian AI company that combines the revolutionary capabilities of Generative AI and the power of traditional machine learning all in one place. The Katonic Generative AI Platform is loved by Enterprises for its power and intuitiveness, allowing them to rapidly build Enterprise-grade AI Applications in days. This no-code platform is powered by the highly awarded Katonic Machine Learning Operations (MLOps) that Enterprises use to manage the entire process of data preparation, model training, model deployment, model monitoring, and automation end-to-end with high accuracy, reliability, and efficiency.
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