Analyst Profile
Jackie Fenn
Distinguished VP Analyst
26 years at Gartner
,
37 years industry experience
FL USA
Roles and Responsibilities
Jackie Fenn is a Distinguished VP Analyst and Gartner Fellow Emeritus in Gartner's CIO Research group. Ms. Fenn works with organizations to define and apply best practices in innovation, including assessing innovation maturity, launching an innovation program or group, defining an innovation process and imagining future scenarios. She advises on how to drive a culture of creativity, and the role that behavioral science insights can play in improving innovation, engagement and outcomes. Ms. Fenn is the originator of the Gartner Hype Cycle model, which has been adopted by news media and other organizations worldwide to explain how technologies move from hype to disillusionment and beyond. Her book "Mastering the Hype Cycle: How to Choose the Right Innovation at the Right Time" was published by Harvard Business Press in 2008 and was featured as a CIO Magazine Top Ten Book. She is also author (under the pen name J.A. Knight) of the techno-thriller novel "Gone Viral", which was awarded a starred review by Publisher's Weekly.
Areas of Coverage
- IT Management
Jackie Fenn's Recent Gartner Activity
Latest Research
-
Baby Steps: How to Innovate in a Resource-Constrained or Risk-Averse Environment
15 October 2019 -
4 Psychological Hotspots of Transformation
21 May 2020
On-Demand & Upcoming Webinars
Background
Previous Experience
Prior to joining Gartner, Ms. Fenn was a Principal Consultant at Logica North America, where she was responsible for artificial intelligence activities within the United States. She was a Consultant to commercial and government organizations about the appropriate application of intelligent technologies, and designed and built expert systems for a range of tasks, including product formulation and medical diagnosis.
Professional Background
Logica Cambridge, Senior Consultant, 7 years
Logica North America, Principal Consultant, 5 years
Education
B.S., Applied Language Studies (Computational Linguistics and Modern Languages), University of Manchester Institute of Science and Technology, England
Languages
English
