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Melody Chien
VP Analyst
Gartner
Speaker Topics
- Agentic Analytics and AI
- Data Quality and Governance
- Metadata Management
- Governance for AI
Speaker Bio
Melody Chien is a Senior Research Director with Gartner's Data Management and Data Governance team. Ms. Chien's research includes the best practice for building effective data quality programs, and data and analytics governance strategies. She also covers tool selections and vendor evaluations for data quality solutions, metadata management solutions, and data observability tools. Additionally, her research includes AI/Gen AI in data management practices, AI-ready data for AI initiatives, and unstructured data management and governance.
Ms. Chien has over 30 years of experience in data management and BI analytics. She spent most of these years in California Silicon Valley in U.S. and worked on big-sized data management projects in large organizations, such as SAP, Lenovo and PayPal, where she has built professional expertise in data and analytics management.
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Ms. Chien has over 30 years of experience in data management and BI analytics. She spent most of these years in California Silicon Valley in U.S. and worked on big-sized data management projects in large organizations, such as SAP, Lenovo and PayPal, where she has built professional expertise in data and analytics management.
Sessions
Tuesday, 16 June, 2026 12:00 PM - 12:30 PM AEST
How to Unlock the Value of Unstructured Data for AI: Start With Governing It First
Melody Chien,
VP Analyst, Gartner
As AI shapes business decisions, making unstructured data AI-ready is a key governance priority. The quality, accessibility and security of unstructured data directly determine the performance of AI applications, particularly for GenAI. To unlock its value for AI initiatives, data and business leaders should evolve their governance strategies to effectively manage, protect and utilize unstructured data, ensuring it is AI-ready while meeting compliance and security requirements.
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Wednesday, 17 June, 2026 11:45 AM - 12:30 PM AEST
Ask the Analyst: What Is Data Observability? Why Is it Important to Make Your Data AI-Ready?
Melody Chien,
VP Analyst, Gartner
Data is the lifeblood of enterprises in the digital era, underpinning everything from operational decisions to revolutionary AI models. However, the promise of AI can only be fulfilled if the underlying data is trustworthy, accurate and readily available. This session provides an in‐depth exploration of data observability — what it is, why it is essential and how it plays a pivotal role in making your data AI-ready.
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Wednesday, 17 June, 2026 01:45 PM - 02:15 PM AEST
Build a Solid Foundation for Data and AI Success With Critical Data Management Technologies
Melody Chien,
VP Analyst, Gartner
Data management tools provide significant capabilities to ensure good data for your data and AI initiatives. For example, metadata tools help discover and inventory your data assets. Data quality tools help business users manage their data at sources by setting rules and policies. Data observability tools give organizations integrated visibility over the health of data, data pipeline and data landscape. Together the tools help organizations lay good foundation in data management for data and AI initiatives.
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