NCI's Office of Data Sharing Annual Symposium (Abstract Submission): Submission #6
Submission information
Submission Number: 6
Submission ID: 145537
Submission UUID: 7dac85df-a83c-4913-a0c6-201cafa7197b
Submission URI: /ods/annualdatasharingsymposium/abstract
Submission Update: /ods/annualdatasharingsymposium/abstract?token=f7lmK22V0aF4zKGyWS7bS4E3MF9UlR0nzVOuvpcAg_Y
Created: Thu, 06/26/2025 - 12:59
Completed: Thu, 06/26/2025 - 13:02
Changed: Thu, 06/26/2025 - 13:02
Remote IP address: 10.208.24.68
Submitted by: Anonymous
Language: English
Is draft: No
| First Name | Qingying (Ally) |
|---|---|
| Middle Initial | |
| Last Name | Lu |
| Degree(s) | MS |
| Position/Title/Career Status | Associate Partner |
| Organization | IBM |
| Organization Address | Fairfax |
| qingying.lu@us.ibm.com | |
| Abstract Category | Demo Table Request |
| Abstract Keywords | Agentic AI, Automation, Cloud, Platform |
| Abstract Title | Empowering Cancer Data Collaboration through Agentic AI |
| Abstract Summary | IBM’s AI & Data Automation platform, ATOM, provides secure, cloud-based services for data sharing, discovery, and automation. It supports cancer dataset integration through two key capabilities: AI Assistant – Enhances user interaction by responding to questions and facilitating tasks such as understanding data policies, discovering datasets and collaborators, and drafting agreements. Agentic AI – Automates complex workflows, including metadata curation, standards compliance, data quality checks, information extraction from unstructured sources, and data anonymization. |
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