Data-Driven Presentations with AI and Code-Based Frameworks скачать в хорошем качестве

Data-Driven Presentations with AI and Code-Based Frameworks

How can AI transform the way we create presentations? In this session from Winter Data & AI Meetup 2026, Alexander Dainiak, Senior Data Scientist, demonstrates how to build interactive, data-driven presentations using AI-assisted coding and modern code-based frameworks like Reveal.js. Instead of static slides and bullet points, this talk shows how Large Language Models (LLMs) can generate HTML, CSS, and JavaScript for dynamic slide decks with live charts, embedded demos, and real data visualizations. You will learn a practical workflow for creating version-controlled, reusable, and scalable presentations that are easier to maintain and more engaging for technical audiences. If you are a data scientist, data engineer, analytics professional, AI practitioner, or technical speaker, this session will help you improve your data storytelling skills and modernize the way you present machine learning models, analytics results, and engineering solutions. This talk covers AI-assisted development, data storytelling, interactive presentations, Reveal.js, LLM-generated code, and reproducible presentation workflows for data and AI projects. Talk page and presentation slides: https://wearecommunity.io/events/wint... If you found this session valuable, please visit the talk page to rate the session and give the speaker a “Thank you” badge. Your feedback helps support our speakers and grow the Data Zen Community. Winter Data & AI Meetup is a public and free community event focused on practical Data Engineering, Artificial Intelligence, Machine Learning, analytics platforms, and real production use cases. Speaker: Alexander Dainiak, Senior Data Scientist Say “Thank you” by rating the talk on the event page.