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Xingyu Gu
Sr Director Analyst
Gartner
Speaker Topics
- Agentic Analytics and AI
- Data Ecosystems
- Ready Your Data for AI
Speaker Bio
Xingyu is a Sr. Director Analyst of Data & Analytics team.
Xingyu's areas of specialization is Data Management, including cloud DBMS, Data Warehouse/lake, Data & Analytics Architecture, AI ready data.
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Xingyu's areas of specialization is Data Management, including cloud DBMS, Data Warehouse/lake, Data & Analytics Architecture, AI ready data.
Sessions
Wednesday, 20 May, 2026 12:30 PM - 01:00 PM JST
AI-Ready Data--Lessons Learned Become Practices to Follow
Xingyu Gu,
Sr Director Analyst, Gartner
No data? No AI! No metadata? No data! Gartner codified AI-ready data concepts and crafted the language in mid-2022. Practices have evolved for the four AI-ready data modes and 30 expected data evaluation and preparation steps. In this session, we recap the approach combined with how organizations are using AI data readiness as a foundation to evolve toward standardizing data for production AI.
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Wednesday, 20 May, 2026 04:15 PM - 05:00 PM JST
Ask the Expert: Should We Move to Databricks for Data, Analytics and AI?
Xingyu Gu,
Sr Director Analyst, Gartner
Databricks has achieved rapid growth globally, including Japan, due to its cloud-neutral approach and comprehensive capabilities in data management, analytics and AI. However, Japanese users face challenges like cost management and integration with existing platforms. This session covers key considerations for vendor selection, including Databricks. D&A leaders should understand how to estimate future needs and mitigate risks when engaging with this vendor, especially compared to competitors.
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Thursday, 21 May, 2026 01:30 PM - 02:00 PM JST
How is Agentic AI Impacting and Disrupting Your Data Management Discipline and Technology NOW?
Xingyu Gu,
Sr Director Analyst, Gartner
This session details how Agentic AI will impact existing data management architecture and technologies, which new use cases it enables in data management and engineering, and which skills will be needed or become obsolete. We’ll also cover how to prepare budgets, teams, and operating models for these changes. These are now valid, frequently debated questions as Agentic AI evolves.
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