LFX Mentorship Active 2026
AI powered mainframe data modernization (unpaid)
About the Organization
<p>Artificial Intelligence (AI) presents an opportunity to accelerate and de‑risk mainframe data modernization by automating the most complex and labor‑intensive aspects of understanding, extracting, and rebuilding legacy workloads.</p><p>This project will deliver a comprehensive framework that guides organizations through understanding legacy mainframe data structures, mapping those datasets to modern cloud‑based platforms, and applying effective methods for data transfer, quality checks, and validation. As part of this effort, the participant will also develop a demonstration application that showcases the practical implementation of key elements of the framework, illustrating how each component works together to support a successful modernization journey.</p><p><br></p><p>Deliverables:</p><p>A technical framework</p><p>A whitepaper to be published under the modernization working group banner.</p><p><br></p><p><strong>Applications closing date: 25-Apr-2026</strong></p><p><br></p><p><strong>Mentee confirmation: 10-May-2026</strong></p>
Primary Technologies & Languages
research skillstechnical writtingaidata architecturemainframesdatabaseframework
Technical Topics & Focus Areas
research skillstechnical writtingaidata architecturemainframesdatabaseframework
Participation Years
Completed Projects Distribution
Annual Completed Projects History
AI powered mainframe data modernization (unpaid)Hover over bars to view completed counts
4
3
2
1
0
2026
Projects1
Years Active1
Stackresearch skills
TierTier 1
Past Projects
Showing 1 of 1 projects. Click any project card for scope, mentors, and proposal studio.
AI powered mainframe data modernization (unpaid) Mentorship Project
Intermediate<p>Artificial Intelligence (AI) presents an opportunity to accelerate and de‑risk mainframe data modernization by automating the most complex and labor‑intensive aspects of understanding, extracting, and rebuilding legacy workloads.</p><p>This project will deliver a comprehensive framework that guides organizations through understanding legacy mainframe data structures, mapping those datasets to modern cloud‑based platforms, and applying effective methods for data transfer, quality checks, and validation. As part of this effort, the participant will also develop a demonstration application that showcases the practical implementation of key elements of the framework, illustrating how each component works together to support a successful modernization journey.</p><p><br></p><p>Deliverables:</p><p>A technical framework</p><p>A whitepaper to be published under the modernization working group banner.</p><p><br></p><p><strong>Applications closing date: 25-Apr-2026</strong></p><p><br></p><p><strong>Mentee confirmation: 10-May-2026</strong></p>