The Granular Reporting Mandate: Turning a Compliance Burden into an AI Opportunity

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Overview:

Financial institutions across APAC are in a race to harness the power of artificial intelligence (AI) and advanced analytics. Yet, many are finding these ambitions blocked by a fragmented data, legacy systems, and inconsistent data quality. This data debt not only hinders innovation but also creates significant operational and compliance risks, particularly as regulators across the region increasingly move to more granular data reporting requirements.

The solution is not to treat data management as another compliance burden, but as a strategic enterprise-wide initiative. By building a resilient data ecosystem with strong governance and a focus on quality, institutions can create a single source of truth. This becomes the critical enabler for a modern, AI-driven enterprise – powering everything from advanced risk modelling and business insights to the next generation of regulatory reporting.

This webinar will explore how a strategic focus on data governance can power innovation, unlock the potential of AI, and empower organisations in decision-making and regulatory compliance.

Key Themes:

• Data governance and architecture to meet granular data reporting requirements in banking

• Beyond regulatory demand, leverage granular data to enhance standardisation and accelerate AI inclusion

• Data lineage, validation, and enrichment for risk and reporting

• The next generation of regulatory reporting – push and pull

• Using AI to automate data cleansing and enhance data quality at scale

• Implications for compliance, risk monitoring and AI innovation