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aiDM 2026, fully titled the Ninth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, is a one-day international workshop co-located with ACM SIGMOD/PODS 2026. It will take place on May 31, 2026, in Bengaluru, India. It is closer to an academic conference/research workshop than to a conventional online course or career training program.
This workshop focuses on how AI technologies can be deeply integrated into data management systems. Topics include LLM-database integration, RAG, agentic frameworks, natural language queries, SQL copilots, vector databases, self-tuning databases, AI-enabled BI, data governance and security, unstructured data systems, and more. The agenda includes 3 keynotes and multiple paper presentations. Speakers come from institutions such as Oracle, IIT Bombay, and UC Berkeley, while the organizing and program committees also span academic and industry organizations including NVIDIA, IBM, Georgia Tech, Oracle, and ETH Zürich. Based on the website content, the language of instruction/communication appears to be English.
The main text does not provide registration fees, payment methods, online participation options, or replay information, so pricing and payment details cannot be determined. As for certification, the page does not mention participation certificates or completion certificates. However, it clearly states that accepted papers will be indexed and made available through the ACM Digital Library, which has academic value for researchers and paper authors.
Its strengths lie in its strong academic backing, its connection to the SIGMOD/PODS ecosystem, and its focus on timely topics such as AI-native databases, RAG, NL2SQL, and unstructured data analysis. The speakers have solid credentials, combining Oracle’s practical industry experience in databases with research perspectives from IIT Bombay and UC Berkeley. The limitation is that it is not a step-by-step course and lacks assignments, projects, learning paths, or beginner-oriented explanations. The content is highly specialized and requires a background in databases, machine learning, and systems research.
It is better suited for PhD students in databases/AI, researchers, paper authors, enterprise data platform engineers, and technical leaders interested in the integration of LLMs with enterprise-grade data management. It is not very suitable for general learners who want to learn AI or database fundamentals from scratch.
The webpage does not provide information about access from mainland China, livestream platforms, or mirror sites, so china_access can only be rated as “unknown.” If you plan to attend, you will need to separately confirm visa requirements, registration, travel arrangements, and whether remote participation is supported.
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aidm-conf.org is an India Events provider. TG4G tracks its product information, an overall rating of 6.0/10, and a China-accessibility score of China direct-connect friendly. Click "Visit Official Site" to reach aidm-conf.org directly.