Closing the AI knowledge gap
Investing in AI-related training will be essential to successful integration.
Engineers and executives are clear on the path forward. Both groups agree that training and upskilling related to AI can help overcome the technical challenges that would otherwise slow down implementation.
Given the widespread belief that AI will quickly become a critical technology, 79% of both groups also expect to invest more in improved training over the next three years. Organizations that deliver on those training plans will be in a better position to capitalize on AI’s potential to accelerate innovation. Organizations that fail to make those investments may lose engineering talent and fall behind their competitors.
Completely new jobs like a machine learning engineer or a data product manager will be created to implement and maintain AI solutions. Existing jobs will have to evolve to incorporate new activities that go along with new AI business models, driving the digital transformation.
Training is the key to success
21% of Engineers
AGREE A LACK OF PROPER AI TRAINING
challenges effective implementation.
86%
of Executives
AGREE CONTINUOUS TRAINING / UPSKILLING
related to AI is essential for engineers.
TE Takeaway
Getting an engineering organization fully prepared for AI will be no small feat, says Phil Gilchrist, Chief Transformation Leader for AI and Sustainability.
Getting an engineering organization fully prepared for AI will be no small feat, says Phil Gilchrist, Chief Transformation Leader for AI and Sustainability.