DAITA IQ - 
not your typical GenAI solution

DAITA IQ -
not your typical GenAI solution

Deploying AI agents to ensure our data is accurate, easy to find, and ready to use - essential for delivering trustworthy AI solutions to our customers.

Unlocking the full potential of Data with GenAI

Unlocking the full potential of Data with GenAI

In today’s fast-moving digital landscape, where millions of data points are generated daily across diverse banking applications, data serves as a critical innovation enabler for UOB.

 

At the core of Data lies Metadata - data about data - which empowers users to seamlessly discover, connect, and unify the right datasets to unlock meaningful insights.

 

However, timely and comprehensive organisation of business and technical metadata requires significant effort - ever so amplified by the complexity and velocity of today’s data ecosystem.

Adopting an Agentic AI approach to overcome Metadata challenges

 

 

Solution Methodology

Decoding DAITA IQ Recipe

Decoding Daita IQ Recipe

 

Working with our partners at Cloudera, we harness the capabilities of their new AI Studio platform to implement a low-code development framework that enables intuitive design and deployment of intelligent workflows via drag-and-drop tools.

 

Guided by the principles of Reusability, Composability, Modularity, and Low Overheads, agent capabilities are organised and designed to work in orchestrated workflows where:

  • Finders decode complex user intent and translate them into actionable system instructions, uncovering relevant information assets across domains
  • Curators bridge the gap between technical and business understanding, refining metadata, enabling natural language discovery for seamless data discovery
  • Governors ensure trust and compliance by enforcing policies, guardrails, and approvals

 

Together, these agents create a continuous feedback loop - turning static metadata into a dynamic, living asset that drives discoverability, governance, and AI-ready data across the Bank.

 

Benefits

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Enhance Data Discoverability

Enables users to find and use data with confidence from up-to-date metadata

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Improved Data Quality & Governance

Dynamically identify gaps in Data Quality

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Accelerated Analytics & AI Delivery

Speeds up model development time by surfacing the most relevant datasets

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Productivity Gains

Save effort on manual documentation and accelerates data onboarding

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Standardise Metadata Models

Ontologies and business glossaries drive consistency across domains and datasets