Generative AI is transforming industries and professions like software development at an unprecedented pace, creating both opportunity and uncertainty.
The current AI revolution mirrors historical patterns like the Industrial Revolution and the dot-com bubble, which both featured societal disruption followed by stabilization.
New technologies like generative AI and the metaverse follow a predictable curve from inflated expectations through a trough of disillusionment to a plateau of productivity.
Many technology initiatives fail to deliver value due to common obstacles like a lack of skills, poor change management, and an inability to demonstrate return on investment.
Organizations can accelerate innovation by democratizing technology, building cross-functional teams, hiring for mindset, and elevating tech strategy to the board level.
By understanding historical patterns and the technology hype cycle, organizations can build resilience and successfully navigate the current technological revolution.
26:25Paul Adams
31:15Thomas Wollmann, Gerrit Einhoff, Kara Sprague & Alexandra Wudel
28:19Jeff Hausmann, Jasmin Kaiser, Bernd Datler & Sonja Alvarez
24:44Constantijn van Oranje
23:35Jessie Schofer
17:01Christian Heilmann
28:29Anu Bharadwaj, Boris Nemsic, Wolfgang Wendt & Tobias Schlottke
27:19Wolfgang Platz
Jobs that call for the skills explored in this talk.
Amazon.com, Inc
München, Germany
Gartner, Inc.
Stamford, United States of America
Collaboration Betters The World GmbH
Genentech
San Francisco, United States of America
Trinamics
Utrecht, Netherlands
Smart Future Campus GmbH
Brandenburg an der Havel, Germany
Valiantys America Inc.
EV Digital GmbH
Berlin, Germany
