Hear talks from leaders around the world
who are making Everyday AI a reality,
from Generative AI to MLOps and much more.

Learn how Air Canada has built and runs democratized processes across multiple functions, teams, and experts to achieve extraordinary ways to improve work and customer experience.

This panel of visionaries and real application innovators covers how they're taking Generative AI — more specifically large language models (LLMs) — from theory to practice.

Conor Jenson, Field CDO, and Abdul Shaik from Regeneron discuss how they are harnessing exponential scale data and utilizing dynamic insights to process AI-supported improvements.

The Insperity team discusses how they’re transforming their data practice from the inside out to set themselves up for scale, while balancing a unique data governance challenge.

Dataiku CTO and Co-Founder Clément Stenac discuss how Dataiku helps control costs, decouple applications and service layers, and ensure safe use of Generative AI technology via the LLM Mesh.

Dataiku CEO and Co-Founder Florian Douetteau and Pinecone CEO Edo Liberty cover how organizations can go from theory to action, implementing real-life use cases that bring real business value.

Hear from Dan Darnell, our VP of Product Marketing, and Elise Salamanca, our Senior Director of Product Management, on how to build Generative AI Apps with new features in Dataiku.

Discover how Dataiku Solutions — off-the-shelf, starter projects and assets for common use cases — can help accelerate your team's speed to value and solve industry challenges in a fraction of the time.

Dive into the opportunities and recent advancements in Generative AI, discussing its value proposition and its potential to revolutionize various industries.

Dive into strategic approaches and recent advancements in Generative AI with a roadmap to effectively leverage its value and catalyze transformative changes across various business sectors.

Experts from SLB, Deloitte, and Dataiku explore best practices for building an operating model aligned to an organization’s goals.

Gain insights into best practices and strategies for efficiently productionizing and monitoring ML models, including the latest features from Dataiku.

This session will guide you through the complete journey, spanning from the initial stages to deployment, while emphasizing the crucial aspects of ongoing maintenance and monitoring.

Learn how Dataiku can establish governance processes to monitor project progress, keep stakeholders in the loop, and identify potential risks and expected value to safely and efficiently deliver AI.

Learn how Dataiku supports the maintenance and operations of data pipelines through metrics, checks, and data drift notifications for clean, reliable, and timely data across the enterprise.

Discover creative model strategies and 7 stops for improving model accuracy in your AI projects.

This talk will showcase the ease in extensibility features between the technologies and feature a thought-provoking fireside chat.

Discover how Dataiku and Snowflake have created a secure, performant, and scalable environment to help customers leverage Generative AI.

Learn how to use Snowflake to power your AI and ML workloads and bring generative AI and LLMs to your enterprise, governed data with the latest innovations coming to the Data Cloud.