Opening — Exploring Japan's new possibilities

Enterprise AI is moving from management to the next stage of value creation. As the opening of Dataiku Summit 2026, this session charts a path to AI success built on human expertise, trust, and governance.

Dataiku keynote: The Platform for AI Success (1)

Turning AI's potential into results takes more than model performance. This session introduces Dataiku's approach to combining human expertise, orchestration, and governance to embed AI in everyday work and scale trusted use across the enterprise.

Dataiku keynote: The Platform for AI Success (2)

Through a live demo of Cobuild, this session shows how to build agents grounded in expert knowledge, develop AI apps in natural language, and centrally manage AI agents safely and practically at enterprise scale.

Leadership and the front line as one — NTT East's transformation into an AI-first company

This talk shares how NTT East has driven AI implementation by combining leadership vision with front-line capability, and explains why the company chose Dataiku as one of its partners.

Starting real collaboration between people and AI with Dataiku

For nearly a decade, Sumitomo Mitsui Card has pursued AI initiatives starting with the democratization of machine learning. With generative and agentic AI now emerging, this session shares its new challenge, starting with Dataiku.

How to achieve AI success: enterprise transformation in the age of autonomous AI agents — panel 1

This panel discusses the role data competitions play in enterprise transformation, exploring AI adoption and talent development challenges, and how to build a foundation that strengthens competitiveness.

Leaders panel talk: how data competitions are driving transformation at Japanese companies

This session focuses on the importance of talent development in Japan, especially for data and AI roles. Experts discuss the factors behind AI success and how data competitions can advance industry talent.

Turning individual AI use into organizational competitiveness

While generative AI adoption is growing, it often stays confined to individual use. Drawing on SoftBank's enterprise business, this session shares how to scale individual AI use into organization-wide value.

From regulatory compliance to the front line — a record of data transformation with Dataiku

This talk shows how Dataiku helped organize and streamline the analytics process, along with the outlook for democratizing data use through a company-wide rollout.

Using data accumulation, AI agents, and Dataiku to improve product quality

Panasonic Group researches efficient manufacturing using knowledge and data integrated across sites. This talk explains an in-house design-support system and how Dataiku and AI agents are used within it.

Democratizing data use — the challenge of a company-wide rollout starting with Dataiku

This talk shows how Dataiku helped organize and streamline the analytics process, along with the outlook for democratizing data use through a company-wide rollout.

Data scientist lightning talks — Women in Data Science

In this session, women data scientists and analysts working in the field share practical insights and experience from their work.

The growing reach of AI, seen through use cases and where Dataiku fits

Drawing on examples of legacy modernization, operational efficiency, and cross-department adoption, this session maps out which problems Dataiku solves and how, with real use cases.

Turning the AI and data flywheel with Dataiku

Success in AI and data use depends on keeping a company-wide flywheel turning. NSSOL has placed Dataiku at the core of its AI-ready foundation, turning investment into enterprise value through its Corepeak offering.

The first six months: a prescription for AI project success or failure

AI project success is decided in the first six months. Based on Dataiku's global analysis, this session explains common early pitfalls and shares how Professional Services helped customers overcome them.

[Data Science] Advancing fraud detection with machine learning and graph analysis in Dataiku

Using anti-money laundering as an example, this session shows how to detect fraud in data with Dataiku, covering visualization, candidate detection, explainability, and monitoring using machine learning and graph analysis.

[Dataiku for beginners] From data prep to AI agent development

Aimed at those new to Dataiku, this session walks through everything from data preparation to AI agent development, centered on live demos covering the product's core and newer features.

[AI Governance] Speed and trust, together — safe human-AI collaboration with Dataiku

Governance is the key to taking AI beyond experimentation. Dataiku combines centralized management of data and AI with human collaboration, demonstrated here in a next-generation operating style.

[Data Science] Orchestration in building data science models

"Orchestration" is a word often used to describe Dataiku. Using the flow of building a data science model as an example, this session shows how orchestration works and adds value, with a live demo.

[Agents in practice] Designing agents, workflows, and web deployment with Dataiku

This session explains how to build task-oriented AI agents that go beyond simple chat, walking step by step through integrating agents, tools, and workflows in Dataiku as practical web applications.