Generative AI is a branch of artificial intelligence that can create new data or content by learning from existing content. It has applications in various domains such as text, image, audio, video, and code generation. In this session, you will learn how generative AI works, its limitations, the main tools and processes you can use, and where you can use it to enhance your data estate and data projects. You will also explore examples of how generative AI can help you with code generation, debugging, and optimization tasks. You will examine a complete solution using SQL SErver Machine Learning Services and Azure OpenAI integration. This session is suitable for data professionals who have some familiarity with machine learning and want to learn more about the potential and effective uses of generative AI.

GUEST BIO (Buck Woody)
Buck Woody is an Applied Data Scientist working on the Azure Data Services team at Microsoft, and uses data and technology to solve business and science problems. With over 39 years of professional and practical experience in computer technology, he is also a popular speaker at conferences around the world; author of over 700 articles and nine books on databases, machine learning, and R, he also sits on various Data Science Boards at two US Universities and specializes in advanced data analysis techniques. He is passionate about mentoring and growing the next generation of data professionals.

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