About this session
The panel discussion at the conference will be an in-depth exploration of the topic of Generative AI, delving into the latest advancements and trends in the industry. Attendees can expect to gain a deeper understanding of the current state of the field, as well as a glimpse into what the future may hold.
One of the main focuses of the discussion will be the impact of generative AI on various sectors of society such as education, business, and more.
The panelists will explore the ways in which generative AI is being used to drive innovation and efficiency in these areas and discuss the potential implications of these technologies on the workforce and the economy.
Another important aspect of the discussion will be the ethical considerations surrounding generative AI technologies. The panelists will delve into the potential risks and challenges of these technologies, such as chatbots like ChatGPT, DALL-E, and deep fakes, and discuss how best to mitigate them.
The discussion will provide valuable insights into the potential and challenges of this rapidly evolving field and the AI ethical concerns that arise with it.
Speakers
Hamza FarooqSenior Manager Research Science at Google
Hamza has over a decade of experience in leading Data Science/ Machine Learning teams. His tenure spans over three continents and seven countries across APAC, Middle East and Africa and North America and multiple industries, namely, Tech.
Batool HaiderFormer Amazon Applied Scientist
Batool is a skilled data scientist with expertise in machine learning and NLP. She has a strong track record, having worked as an Applied Scientist at Amazon Web Services, where she conducted research in areas such as deep learning, text generation, meta learning.
Raja IqbalCEO and Chief Data Scientist at Data Science Dojo
Raja Iqbal is a data scientist, a passionate educator, and an internationally recognized speaker on data science. Prior to Data Science Dojo, Raja worked at Microsoft in a variety of research and development roles involving machine learning and data mining at very large scale.
Francesca LazzeriPrincipal Data and ML Scientist Manager at Microsoft
Francesca Lazzeri is a data and machine learning scientist with over 15 years of experience in academic research, tech industry and engineering team management. She is author of a few books on machine learning and applied Data Science: "Machine Learning for Time Series Forecasting with Python.
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