Leadership and Big Data Innovation
Tuesday, December 13, 2016
|12:00 PM - 1:00 PM||US Eastern|
|11:00 AM - 12:00 PM||US Central|
|10:00 AM - 11:00 AM||US Mountain|
|9:00 AM - 10:00 AM||US Pacific|
|5:00 PM - 6:00 PM||GMT|
Every organization is scrambling to realize the value-creation potential of innovation driven by analytics, machine learning, and the Internet of Things (IoT). As they do so, organizations are confronting critical questions.
- With so many opportunities—and challenges—ahead, how will leaders focus their organizations so they can deploy these new technologies in truly game-changing ways?
- How can companies best organize to leverage predictive analytics?
- What shifts will management have to make so the use of big data with IoT drives innovation in products and processes?
- How will machine learning and automation challenge leaders to think differently about “talent” and organizational culture
Michael Schrage, a fellow at the MIT Sloan School’s Initiative on the Digital Economy and popular blogger on HBR.org, has thought deeply about questions at the intersection of big data and leadership.
On December 13, in an interactive HBR webinar, Schrage will examine these questions and others at the intersection of leadership and big data innovation. He will discuss the implications for organizations, and talk about frameworks for leaders who are helping organizations chart a new course.
About the Speaker
A fellow with the Massachusetts Institute of Technology (MIT) Sloan School's Initiative on the Digital Economy and a visiting scholar at Imperial College’s Innovation and Entrepreneurship program, Michael Schrage is author of ’The Innovator’s Hypothesis’ [MIT Press 2014] and ‘Who Do You Want Your Customers To Become?’ [Harvard Business Review Press 2012].
His research, writing and advisory work focuses on the ‘behavioral economics’ of models, prototypes and experiments as collaborative media for managing ‘innovation risk.’ His current research explores how ’network effects’ influence investment in innovation and human capital.
He’s done consulting and innovation/experimentation workshops for firms including Prudential, Microsoft, Siemens, NASDAQ, Mars, BT, Google, SAS, Siemens, BASF and Lego.
Previously, a Merrill Lynch Forum Innovation Fellow and founder/executive director of its Merrill Lynch Innovation Grants Competition for doctoral students worldwide, Schrage is now an angel investor in several digital media and ‘machine learning’ start-ups.
He is a featured and top trafficked blogger on the Harvard Business Review site. His work has been published the Sloan Management Review, the Financial Times, The Wall Street Journal, the Nikkei Asian Review, the CACM as well as other peer-reviewed publications.