Modernizing L&D in the Age of Intelligent Machines With Matt Beane

Increased automation and use of tools like robotics and
generative AI have fundamentally changed the expert-novice
relationships that organizations and knowledge transfer are built
on. Professor and author Matt Beane joins the Talent Angle to
share his insights on how learning and development (L&D)
leaders can play a strategic role in unlocking human ability in
the age of intelligent machines. Drawing upon examples across
industries and eras, Matt explains why challenge, complexity and
connection are key drivers for effective learning in today’s
working environment.


 






Matt Beane is an assistant professor in the technology
management program at the University of California, Santa
Barbara. Matt does field research on work involving
robots and AI to uncover systematic positive exceptions
that we use across the broader world of work. He received
his Ph.D. from the Sloan School of Management at the
Massachusetts Institute of Technology in the information
technologies department. Matt also took a two-year hiatus
from his doctoral studies to help found and fund
Humatics, an MIT-connected, full-stack IoT startup.


 






Peter Aykens is the chief of research for
Gartner’s HR practice. Aykens is responsible for
building and leading research teams within the
practice to address clients’ key initiatives.
Before his current role, he spent over 25 years
at Gartner leading research teams focused on
banking and financial services strategy,
producing numerous studies that addressed
business strategy, channels, marketing, customer
experience and product challenges. He holds a
bachelor’s degree in political science from St.
Olaf College, a master’s degree in international
politics from Aberystwyth University (formerly
known as the University College of Wales,
Aberystwyth), and a master’s degree and a
doctorate in political science from Brown
University.