Presentation

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Beyond Content Management for Real Knowledge Sharing

February 19, 2025
Urmi Majumder Maryam Nozari

Enterprise Knowledge’s Urmi Majumder and Maryam Nozari presented “AI-Based Access Management: Ensuring Real-time Data and Knowledge Control” on November 21 at KMWorld in Washington, D.C.

In this presentation, Urmi and Maryam explored the crucial role of AI in enhancing data governance through Role-Based Access Control (RBAC), and discussed how the Adaptable Rule Foundation (ARF) system uses metadata and labels to classify and manage data effectively across three levels: Core, Common, and Unique. This system allows domain experts to participate actively in the AI-driven governance processes without needing deep technical expertise, promoting a secure and collaborative development environment.

Check out the presentation below to learn how to:

  • Implement AI to streamline RBAC processes, enhancing data security and operational efficiency.
  • Understand the impact of real-time data control on organizational dynamics.
  • Enable domain experts to contribute securely and effectively to the AI development process.
  • Leverage the ARF system to adapt security measures tailored to the specific needs of various organizational units.

Slide Deck

Urmi Majumder Urmi is a Principal Consultant and hands-on architect with broad experience across many areas of technology including semantic data engineering, machine learning, application development, databases, search engines, analytics, infrastructure, DevOps and security. She has deep expertise in knowledge graphs, enterprise AI, application architecture, design and development, relational databases, Lucene-based search engines, large scale computing solutions and AWS. She is passionate about problem solving, irrespective of the domain. More from Urmi Majumder »
Maryam Nozari is an experienced and motivated Data Scientist with years of experience in designing and deploying industry-leading algorithms and predictive models using Python, SQL, and Machine Learning techniques. She is skilled in collaborating with cross-functional teams, implementing statistical modeling and simulation, and utilizing Deep Learning techniques to build powerful predictive models and provide actionable insights for data-driven solutions. More from Maryam Nozari »