Leaders Roundtable: The AI Execution Gap: Building the Data Foundation for Trusted AI

Japanese organisations are moving AI towards production, but legacy technology, fragmented data, and governance models built before generative and agentic AI can create friction. Data remains difficult to access across existing environments, while privacy, security, risk, and third-party technology dependencies add complexity as AI moves into business-critical processes.

The challenge is not simply making data available to AI. It is creating an environment where data can be accessed consistently, governed appropriately, and used across different AI applications without creating new silos or control gaps.

Ecosystm research highlights the gaps in Japanese organisations:

• 72% cite governance and compliance as a key barrier
• Only 33% of leaders express confidence in their data strategy
• 57% are actively working on making data reliably accessible for AI use

This makes the underlying data environment an important part of AI strategy. Data needs to work across structured and unstructured sources, legacy and modern platforms, and increasingly diverse AI workloads. Governance also needs to be built into how data is accessed and used, rather than added after applications are deployed.

Join us for a candid, off-the-record Ecosystm Leaders Roundtable, where senior peers and regional technology experts will examine the practical constraints shaping AI adoption in Japan services and the decisions that matter next.

The discussion will cover:

• Regional and global perspectives. How organisations are evolving data strategy, governance, and AI approaches as AI moves into production.
• Operating model gaps. Where business, technology, data, and risk teams struggle to align, and what is improving decision-making and delivery.
• Regulatory considerations. How organisations are managing data protection, governance, risk, and regulatory expectations as AI use expands.
• Ecosystem decisions. What should be built, bought, or developed with partners as AI architectures and technology providers evolve.
• Value realisation. How organisations are assessing the business case for AI and connecting data investments to measurable business outcomes.

Plus: Attendees receive a standing invitation to a complimentary, tailored data strategy session with the Snowflake x Accenture leadership team.