12-04, 17:00–17:30 (UTC), AI/ML Track
Generative AI is revolutionizing industries by enhancing efficiency, personalization, and insight. This talk explores how a robust Python ecosystem, including Streamlit, various libraries, and APIs, is harnessed to build powerful generative AI applications. Attendees will gain insights into the practical implementation of these technologies and their transformative impact on business operations.
In the dynamic world of AI, generative models are leading the charge in innovation, offering groundbreaking capabilities in content creation and data analysis. This session will delve into the practical applications of generative AI, focusing on how a comprehensive Python ecosystem is utilized to develop solutions that address real-world challenges.
We will begin with a brief overview of generative AI, highlighting its key capabilities and the industries it is transforming. The talk will then showcase three demos, each of which will illustrate how these applications (built using Python, Streamlit, and a variety of libraries and APIs) enhance efficiency, personalize interactions, and provide actionable insights.
The applications demonstrated will include:
- A Data Analysis Assistant app
- A Briefing Generator app
- A Collaborating Agents app
Attendees will learn about the technical architecture and tools that power these applications, gaining a deeper understanding of how to integrate generative AI into their own projects. The session will also discuss the broader implications of generative AI, including its potential to drive innovation and its role in shaping the future of data-driven decision-making.
Join us to explore the transformative power of generative AI and discover how you can harness the Python ecosystem to unlock new opportunities in your field. Whether you're a data scientist, developer, or business leader, this talk will provide valuable insights and practical knowledge to help you stay ahead in the AI revolution.
No previous knowledge expected
Tony Ojeda is an accomplished analytics executive and thought leader with over 20 years of experience in data science, machine learning, and generative AI. As Chief Data Scientist at Fulcrum Analytics, he spearheads the development of cutting-edge AI-powered solutions that transform how businesses operate and make decisions in industries such as healthcare, financial services, marketing, and customer service.
Tony is the author of Applied Text Analysis with Python and the Practical Data Science Cookbook. A frequent speaker at PyData and other industry events, he is committed to advancing AI innovation and empowering data professionals to harness the full potential of AI and automation, enabling organizations to derive deeper insights, streamline operations, and make data-driven decisions more effectively.