NCI's Office of Data Sharing Annual Symposium (Abstract Submission): Submission #6

serial: '6'
sid: '145537'
uuid: 7dac85df-a83c-4913-a0c6-201cafa7197b
uri: /ods/annualdatasharingsymposium/abstract
created: '1750957153'
completed: '1750957321'
changed: '1750957321'
in_draft: '0'
current_page: ''
remote_addr: 10.208.24.68
uid: '0'
langcode: en
webform_id: office_of_data_sharing_abstract
entity_type: node
entity_id: '2141'
locked: '0'
sticky: '0'
notes: ''
metatag: meta
data:
  category: 'Demo Table Request'
  degree_s_: MS
  email: qingying.lu@us.ibm.com
  first_name: 'Qingying (Ally)'
  keywords_abstracts: 'Agentic AI, Automation, Cloud, Platform'
  last_name: Lu
  middle_initial: ''
  organization: IBM
  organization_address:
    address: ''
    address_2: ''
    city: Fairfax
    country: ''
    postal_code: ''
    state_province: ''
  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.
  title: 'Associate Partner'
  ttile: 'Empowering Cancer Data Collaboration through Agentic AI'
  upload_abstract: '65644'