3rd Annual Conference
Human Capital Innovation in Technology & Analytics
Friday, April 4, 2014
Registration: 12:00 – 12:45PM
Conference Program: 12:45 - 6:30PM
Networking Buffet at Exhibits: 6:30 - 8:30PM
NYU Polytechnic School of Engineering
5 MetroTech Center -- Pfizer Auditorium
Predicting Engagement & Performance Using Human Capital Data Analytics
Employee engagement is a key factor leading to successful performance of individuals and organizations. Firms that utilize human capital analytics (HCA) to understand and predict the critical drivers of engagement and performance achieve a competitive advantage.
The conference will focus on the application of HCA to build a culture of engagement that fosters positive work behaviors and organizational outcomes. Thought leaders will share experiences, challenges and solutions utilizing HCA to attain an engaged and high performing workforce. The assessment of engagement will be addressed as will cutting-edge analytic models utilizing small and Big Data, including causality and linkage analysis.
Vendors with expertise in engagement assessments and HCA will demonstrate their products and services. Conference attendees will have the opportunity to network with leaders in this emerging field of HCA.
Details of the Program (Preliminary)
12:00 - 12:45 PM Registration & Networking at Exhibits
Ongoing through the day
12:45 - 1:00 PM Welcome & Introductory Remarks
Prof. Harold G. Kaufman
Department of Technology Management , NYU-Poly Academic Director - Organizational Behavior & Faculty Advisor PolySHRM
Prof. Paul Horn
VP & Executive Director of Research, IBM
Prof. Judea Pearl
Computer Science Department, Cognitive Systems Lab, UCLA
1:00 - 1:30 PM Keynote Address
Human Capital Analytics & Engagement: Perspectives from the C-Suite
Rebecca L. Ray
Ph.D. Senior Vice President, Human Capital, The Conference Board
1:30- 3:00 PM Applying Analytics to the Drivers & Outcomes of Engagement
Measuring Healthy Leadership as a Driver of Engagement
PhD Executive Vice President, Leadership Development,
Healthy Companies International (HCI)
PhD, CEO, Applied Skills & Knowledge, Inc.
Adjunct Professor, Department of Technology Management & Innovation, NYU Polytechnic School of Engineering
Best Practices in Engagement to Performance Analytics: Causality & Linkage Analysis
PhD, Partner and Global Engagement Practice Leader, Aon Hewitt
Squeezing the Most from Employee Engagement Survey Data via Robust Statistics
Manager, Decision Analytics, Alcoa
3:00 - 3:30 PM Networking Coffee Break at Exhibits of Vendors/Recruiters
3:30 - 5:00 PM Engagement Insights & Interventions Derived from Data Analytics
Using Analytics to Deliver Knowledge about Engagement Needed by Business Leaders
Senior Manager, Workforce Optimization, PepsiCo
PhD, Manager, Talent Analytics, PepsiCo
The Effect of Management Interventions on Engagement & Performance: Big Data Analytics
PhD, Chief Scientist, Workplace Management and Wellbeing, Gallup, Inc.
Title of Presentation TBA
Lead Partner, Human Resources Transformation in Financial Services, Accenture
5:00 - 5:30 PM Networking Break at Exhibits of Vendors/Recruiters
5:30 – 6:30 PM Panel Discussion – Where are We & Future Directions
Participation by All Presenters
PhD Director, Talent Management and Analytics, JetBlue Airways
Adjunct Professor, Department of Technology Management, NYU-Poly
Executive Director, Talent Analytics, Morgan Stanley
6:30 - 8:30 PM Networking Buffet at Exhibits of Vendors/Recruiters
When & Where
Department of Technology Management & Innovation
The Department of Technology Management and Innovation (TMI) at the NYU School of Engineering is the premier learning, research, and development hub in the New York City/Tri-State region explicitly devoted to the increasingly critical arenas of innovation, information, and technology management.
The Department offers pace-setting bachelor’s, master’s, and PhD program focused on innovation and technology management and innovation in the modern knowledge economy. We are committed to wisely integrating technology into all of our educational programs to enhance the learning process for our students. Our faculty and students conduct high-quality, relevant research and development. Our research and development is varied, including scholarly books and articles in the most respected journals, and timely, instructive case studies
The Department represents a major gateway and opportunity for those aiming to be successful in to the emerging knowledge-intensive and technology-demanding business environment that characterizes almost all sectors of the today and tomorrow’s economy.