“The solution is to use new technologies to augment rather than replace human activity. The goal is not merely to apply new technologies, but to collectively align the most resourceful people to take on the organization’s most daunting challenges and chase the most compelling business opportunities.”
The U.S. has been named the most promising market for innovation and technology breakthroughs that have global impact for the second year, with China following, both seen as leading regions of innovation and disruption, according to KPMG’s 2018 Global Technology Innovation Report.
From 2016 to 2025, the global revenue of collaborative robotics shipments is set to reach a compound average growth rate of 49.8 percent — that’s compared to 12.1 percent for Industrial robots and 23.2 percent for commercial robotics.
As with most emerging technologies, the early adopters are facing many obstacles to the progress of AI within their organizations. Gartner analysts have identified the following four lessons-learned that have emerged from these early AI projects.
Our first finding is that storytelling isn’t so much a tactic as a mindset. And by that we mean, we’re all showing up every day to publish e-books, publish blogs, to get it done one day after another—and that’s good. But we find that Leaders and Visionaries really have a sense of purpose that’s much bigger.
Senior executives have embraced the concepts of artificial intelligence (AI), deep learning and cognitive computing. Many are already applying these and other intelligent technologies to dramatically improve the productivity of their businesses, while redefining the ways they engage with their key stakeholders.