AI-Accelerated Data Lineage & Certification #148
Description
Objective
AI-Accelerated Data Lineage & Certification
Visualize data trust in real time.
Generate interactive, GPU-accelerated lineage graphs that dynamically reveal data flow, dependencies, and certification status across systems.
Embed intelligent ML agents.
Leverage Isolation Forests for anomaly detection and MPNet-based embeddings for semantic similarity to automatically uncover duplicates, drifts, and lineage gaps.
Automate certification with explainable AI.
Each dataset is assigned a machine-evaluated trust score, combining data quality, lineage consistency, and drift metrics — ensuring transparency and regulatory readiness.
Empower consumers and auditors.
Provide an intuitive visual interface where users can trace data origin, verify accuracy, and audit certification evidence with full explainability.
One can submit a talk on anything related to Python or Open Source and below are the list of categories -
Governance & Maintainability
Title of the talk/workshop
Design and Implement AI-Driven Data Lineage for Data Certification
Abstract of the talk/workshop
Data lineage for the data certification
Category of the talk/workshop
Cata Governanace
Duration (including Q&A)
20 mins
Level of Audience
Intermediate
Speaker Bio
Please do include the following things
Speaker Bio (Brief): Working as VP(Technical) at JPMC
Company/College: NIT Srinagar
Email: [email protected]
Years of Exp : 16 Years
Vice President (Technology) at JP Morgan Chase and Co
https://www.linkedin.com/in/akhil-kumar-gupta-314481102/
https://deducethelogic.com/