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.
Ashutosh Bajpai, Senior Partner Solutions Architect at MongoDB, will show you how to build a financial AI copilot using GPT-5 and MongoDB. You’ll learn how to architect the system, structure your data layer, and evaluate the assistant’s outputs. Whether you’re working on fin-tech, enterprise copilots, or AI for document-heavy domains, this session will show you what’s possible.
Marie Potel-Saville, CEO & Co-founder at FairPatterns, and Sara Vienna, Chief Design Officer at Metalab, will explore what it takes to build AI products that are not only effective, but responsible. You’ll learn how to spot and avoid harmful “dark patterns,” integrate “fair patterns” into your user experience, and assess the business and ethical risks that come with poorly designed AI.
Manasi Vartak, Chief AI Architect at Cloudera, Craig McLuckie CEO at Stacklok, and Stephen Whitworth, CEO at incident.io, will discuss how to design, build, and operate AI products that users can rely on. You’ll learn how teams are aligning people, processes, and technology to create trustworthy systems—and how AI itself can be used to support testing
Sarah Levy, CEO at Euno, Somesh Saxena, Founder & President at Pantomath, Stijn Christiaens, Chief Data Citizen and Co-Founder at Collibra, and Taylor Hersom, CEO at Eden Data, will explore how data governance and AI governance fit together in practice. You’ll learn how teams are automating data processes to strengthen governance, reduce risk, and support compliant AI development—while enabling innovation rather than slowing it down.
Nyah Macklin, a Senior Developer Advocate for AI at Neo4j, will show you how to engineer context effectively for AI applications. You’ll explore multiple context management approaches—including prompt management, retrieval-augmented generation (RAG), and knowledge graphs—and learn how to use Neo4j as a memory layer for AI chatbots and agents. By the end, you’ll have practical patterns you can apply directly to your own AI systems.
Laurie Voss, Head of Developer Relations at Arize, will show you how to automatically test and debug AI agents using the Arize AI engineering platform. You’ll learn core principles of agent evaluation, then build and instrument a simple agent to track performance, behavior, and failure modes. By the end of the session, you’ll have a practical framework for monitoring agents in development and beyond.
Lynn Heidmann, VP of Product Marketing at DataCamp, will unpack the findings from a global survey of enterprise leaders. You’ll gain insight into the biggest challenges facing AI adoption, how organizations are approaching upskilling and transformation, and what separates high-performing companies from those still struggling to scale AI impact.
Tracy Ring, CDO at Accenture, Scott Chetham, CEO at Faro Health, Galia Rosen Schwarz, CEO and Co-founder at C8 Health, and Wardah Inam, CEO at Overjet, will discuss what it really takes to deploy AI in healthcare and life sciences. You’ll learn how teams are building trustworthy AI systems, navigating technical and regulatory constraints, and aligning AI initiatives with clinical and organizational realities.
Nick Desbarats, author of "Practical Charts on Demand", will share proven best practices for designing dashboards that inform and persuade. You’ll learn how to choose the right charts for your message, structure dashboards for clarity, and tailor your visual storytelling to different stakeholders—from executives to operational teams.
Lyndsay Girard, the Manager of Performance Analytics at Halton Healthcare, will guide you through building a healthcare dashboard using Power BI and Copilot. You’ll work through a real-world healthcare case study, learn how to design clear and meaningful visuals, and explore how AI assistance can accelerate dashboard creation and analysis.
Discover the process of developing a business intelligence dashboard using mock data and modern analytics tools. Participants will see how raw data can be shaped, analyzed, and visualized to support decision-making, while exploring practical considerations around metrics, layout, and storytelling. The session will blend live explanation with hands-on demonstration, giving attendees a flexible framework they can adapt to their own BI use cases.
Laura Wiedel, the Senior Director of Lifecycle & Retention at DataCamp, will walk you through building a customer marketing funnel using Excel and Copilot. You’ll learn how to measure each stage of the customer journey, use AI assistance to analyze and visualize your data, and work through a real-world case study that brings marketing analytics to life.
Brent Dykes, Chief Data Storyteller at Analytics Hero, will share practical techniques for creating visualizations that communicate clearly and persuasively. You’ll learn core principles of data storytelling, explore how to tailor visuals for different audiences, and discover best practices for turning complex analyses into compelling narratives.
Mafer Bencomo, a Marketing Manager at DataCamp, will explore what it means to build AI-native learning experiences for the classroom. You’ll learn how AI can act as a personal tutor for every student, discover best practices for online and hybrid teaching, and see how AI-native courses can improve adoption, engagement, and learning outcomes.
Lynn Heidmann, VP of Product Marketing at DataCamp, and Marco Valvassori, Data Analyst at DataCamp, will provide a practical overview of Data Connector 2.0 and demonstrate how it can elevate your learning analytics strategy.