Gartner Data & Analytics Summit 2026 Tokyo

Sensitive Data Discovery: Find and classify regulated and critical data across Snowflake, Databricks, cloud storage, and data lakes.

AI Data Governance: Identify sensitive data used in AI and ML pipelines and apply controls for responsible AI.

Data Risk & Exposure: Detect overexposed data, risky access, and sensitive data in shared analytics environments.

Data Lineage & Intelligence: Understand how sensitive data flows across pipelines, dashboards, and analytics platforms.

Privacy & Regulatory Compliance: Automatically identify personal data and support compliance with regulations such as GDPR and Japan’s APPI.

AI adoption is accelerating, but hidden data risk still blocks real results. Sensitive, regulated data spread across hybrid and multi-cloud environments creates privacy exposure, security gaps, and compliance pressure.

Join this session to:

• See how to uncover hidden sensitive data across hybrid and multi-cloud environments
• Learn how to reduce privacy, security, and compliance risk with automated controls
• Understand how to build a trusted, AI-ready data foundation that drives faster outcomes

• Walk away with practical steps to operationalize data governance for AI at scale 

Take a self-guided, interactive tour of the BigID Next platform to see how BigID helps organizations embrace AI innovation and accelerate adoption — while continuously monitoring and reducing risk at enterprise scale.

We’re bringing together a select group of data and AI leaders for a relaxed dinner built for real conversation.

No presentations. No pitches. Just sharp minds, great food, and even better company.

Connect with peers who care about the same things you do: data risk, AI governance, and turning data into real business value. Share what’s working, what’s not, and what’s next.

Email: jgibson@bigid.com