Join our webinars and live training sessions to learn how to build a data-driven organization. Even if you can’t attend live, we encourage you to register to receive a link to the on-demand recording.
For previously recorded webinars, view our on-demand webinars.
In this second session of a two-part series, Abi Aryan, Founder at Abide AI, will walk you through how to build a RAG-powered chatbot using Python. You’ll learn how to construct the RAG pipeline, evaluate response quality, and apply it to a real-world use case: creating a chatbot that can answer user questions about the NYSE
Tanya Akumu, an AI Researcher at University of Barcelona, will demonstrate how to use Hugging Face tools to analyze ultrasound image data. You’ll learn how to apply AI models to image data, explore techniques for interpreting results, and work through a real-world use case focused on improving fetal health outcomes.
Francisco Quintana, a Senior Machine Learning Engineer at Huda Beauty, will walk you through building a portfolio management AI agent using Google Gemini and Vertex AI. You’ll learn how to retrieve and process investment data using AI, explore the fundamentals of portfolio management, and create an agent that can support financial decision-making.
Katherine Melchior Ray, a Lecturer at UC Berkeley Haas School of Business, and Nataly Kelly, Chief Marketing Officer at Zappi, will teach you how to use data and AI to shape a modern branding strategy. You’ll learn how to uncover actionable customer insights, adapt campaigns across different markets, and localize content while maintaining a consistent brand identity. This session is ideal for marketing leaders looking to build smarter, more scalable brand strategies.
Michael Jesmin, a Generative AI Architect at Capgemini, will teach you how to create an AI agent using LangGraph and MCP. You’ll explore how the Model Context Protocol works, what problems it solves, and how to spin up your own MCP server. Whether you’re experimenting with agents or building production-grade workflows, this session will give you the practical foundation you need.
Sagar Paul, SVP of Global Growth and Solutions at The Modern Data Company, and Vikram Sharma, Global Head of Engineering for Cloud & Software at Lenovo, will discuss how data products can accelerate your generative AI roadmap. You’ll explore what data products are, how to build them, and why they’re key to increasing both model performance and user trust. This session is designed for data and AI leaders looking to bridge the gap between infrastructure and impact.
Anurag Gangal, a Data Science Manager at Spotify, will teach you how to navigate the two most popular career paths in data. You’ll learn how these roles compare, what skills you’ll need for each, and where they sit within an AI-first modern data team. You’ll also get tips on building a strong portfolio and setting yourself up for long-term success in the data world.
Apoorva Joshi, a Senior AI Developer Advocate at MongoDB, will teach you how to build a simple multimodal AI application using MongoDB and Voyage AI. You’ll learn how to structure and query image and video data, apply retrieval techniques with Voyage AI, and connect everything in a functional pipeline. This session is ideal for data scientists and AI engineers looking to expand their application-building toolkit.
Helen Marshall, Chief Learning Officer at Thrive, will share practical strategies for creating and nurturing a learning community that enhances training outcomes.
Ollie Hughes, the CEO at Count.co, will teach you how to apply the four tenets of high-impact data teams: seeking operational clarity, solving business problems, minimizing time to decision, and measuring performance. You’ll learn how to embed these principles into your team’s day-to-day work and unlock greater outcomes with fewer inputs.