Bringing GenAI into real-world use is often harder than it looks. Many organizations get stuck in pilots, struggling to scale responsibly.

This session shows how Dataiku lowers the barrier to entry for GenAI so both technical and non-technical teams can build, deploy, and govern projects at scale. With the right platform, tools, and controls, organizations can unlock GenAI’s potential without requiring deep expertise.

We’ll explore:

• How the Dataiku LLM Mesh, along with code and visual agents, makes GenAI projects faster and more transparent.
• Real-world success stories, including Novartis, which cut time-to-insight by 90% using GenAI, and System1, which used the Dataiku LLM Mesh to launch 107 campaigns in just 10 minutes — a task that previously took their team an entire week.
• Key features like Trace Explorer and flexible model integration that make governance seamless.

Whether you’re a builder or a decision-maker, you’ll leave with practical strategies to enhance GenAI adoption across your organization, ensuring it’s accessible, scalable, and trusted.