FINAL WORD
The solution to this gap lies in how organisations start their AI journeys . They commonly find that they operate a series of information silos , which must be eliminated before the real work can begin . Part of this process may involve developing a shared infrastructure designed for reducing costs and time to value .
An AI Centre of Excellence , composed of varied and complementary talents will work towards building a team of unicorns . They will develop AI products , stay current on technology changes , and nurture AI champions across business units . If the Centre of Excellence demonstrates value , wider programmes may emerge , and AI may be adopted and used more widely and for more critical tasks .
Hub and spoke
At this stage , silos will irrevocably break down and cultural challenges may emerge but with data and AI skills on the rise along with value , the bulk of concerns should erode to make way for a sharing environment where value can be added everywhere . What is created in place of legacy silos is a hub-and-spoke super-team with AI experts in the centre and business units all around .
The old request-and-delivery working model is replaced with collaboration between hub and spokes on every project , the ownership of which is retained by the spokes .
A December 2021 McKinsey global study on business transformation showed that among change projects where frontline employees felt a sense of ownership to drive change , 79 % were successful .
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