Session Outline

In this session you will learn how knowledge graphs and graph data science algorithms can be used to enhance your People Analytics capabilities and data driven decisions. We will explore how to extract information from documents and map your workforce to skillsets to enrich your knowledge graph through NLP and graph data science methods providing insights on career planning, skill alignment, training paths and more.

Key Takeaways
  • Knowledge Graphs
  • Graph Data Science


Speaker Bio
David Meza – AIML R&D Lead, Sr. Data Scientist People Analytics | NASA

David Meza currently serves as AIML R&D Lead and Sr. Data Scientist at NASA Headquarters and formerly Chief Knowledge Architect at NASA Johnson Space Center (JSC). During his tenure at NASA, he has worked in all aspects of the Information Technology field developing and deploying several IT systems. In his role at JSC, he established the Knowledge Architecture framework, promoting a viewpoint of organizational leadership that stresses the use of knowledge management, informatics, and data science as methods to turn data into actionable knowledge. He holds a Master’s in EngineeringManagement from the University of Houston Clear Lake and a Doctorate in Education.

May 18 @ 15:30
15:30 — 16:00 (30′)

2022 Day 2 | Stage 3 – 2 Advanced People Analytics & Data Management

David Meza – AIML R&D Lead – Sr. Data Scientist People Analytics | NASA