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
Presenter Information
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First Name: Qingying (Ally)
Middle Initial: {Empty}
Last Name: Lu
Degree(s): MS
Position/Title/Career Status: Associate Partner
Organization: IBM
Organization Address:
Fairfax
Email: qingying.lu@us.ibm.com
Abstract Information
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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.
Upload Abstract: https://events.cancer.gov/sites/default/files/webform/office_of_data_sharing_abstract/145537/Demo%20of%20ATOM%20Platform%20Abstract.pdf