Date and Time: Wed 21st Feb 2024, 7:00 pm – 11:00 pm AEDT
Location: Villa Blanca Reception, 53 Raymond St, Bankstown NSW 2200, Australia
Synopsis:
This presentation offers an overview of the rapidly evolving landscape of artificial intelligence (AI) and its subfield, Generative AI. The session begins with an introduction to the history and core concepts of AI, including machine learning and deep learning. The discussion then covers the applications of AI and Generative AI across various industries, such as healthcare, manufacturing, and customer service.
As we explore the transformative potential of AI and Generative AI, the presentation also addresses the challenges and ethical considerations that accompany these technologies. By examining these issues, we aim to foster a responsible approach to AI.
Finally, we look ahead to the future of AI and Generative AI; attendees will gain a deeper understanding of the opportunities and challenges presented by AI and Generative AI, as well as the importance of embracing and navigating this groundbreaking technology responsibly.
About Mutaz Abu Ghazaleh:
Mutaz Abu Ghazaleh is an accomplished AI and Data Science professional with over 20 years of experience in the technology industry. He currently serves as a Global Black Belt and AI/ML Lead for ANZ at Microsoft, where he has been instrumental in driving AI and Machine Learning initiatives. Mutaz has held various roles within Microsoft, including Architect for Data and AI, Architect CoE, and Solutions Architect in the Azure Apps and IoT Center of Excellence.
Prior to joining Microsoft, Mutaz worked as a Software Development Team Lead in various roles in Jordan. Throughout his career, Mutaz has honed his expertise in various domains, ranging from data science and AI to IoT and cloud computing.
In addition to his extensive professional experience, Mutaz holds a Master’s degree in Data Science and Innovation from the University of Technology Sydney, as well as a Bachelor of Science degree in Electronics Engineering from Princess Sumaya University for Technology. His academic background, coupled with his diverse work experience, positions him as a thought leader and expert in the field of AI and Data Science.
With his passion for AI and commitment to driving innovation, Mutaz continues to lead in the era of AI and contribute to the advancement of technology across industries.
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