What is AI Maturity? AI maturity measures the degree to which organizations have mastered AI-related capabilities in the right combination to achieve high performance for customers, shareholders and employees. “AI maturity comes down to mastering a set of key capabilities in the right combinations – not only in data and AI but also in organizational strategy, talent and culture. This includes “foundational” AI capabilities – like cloud platforms and tools, data platforms, architecture and governance – that are required to keep pace with competitors. It also includes “differentiation” AI capabilities, like AI strategy and C-suite sponsorship, combined with a culture of innovation that can set companies apart,” Accenture. There are four types of companies with respect to AI maturity:
AI Achievers: show advanced AI maturity enough to achieve ‘superior growth’ and business transformationAI Builders: show strong foundational capabilities and average differentiation capabilitiesAI Innovators: show strong differentiation capabilities and average foundational capabilitiesAI Experimenters: those with average capabilities in both categories – make up the majority (63%) of those surveyed. (See chart below.)
Achievers, Builders and Innovators collectively represent just 37% of surveyed organizations – Achievers accounted for 12%, Builders for 12% and Innovators for 13%. Here are the key AI takeaways from Accenture research: Accenture research concludes that AI Achievers have moved past cloud migration to innovation and have capitalized on cloud’s scale and computing power to tap into new data sources and AI technologies. But it is not the technology but rather their approach with applications of AI that sets this 12% of companies apart. AI Achievers know that AI maturity is as much about people as it is about technology. To learn more about Accenture’s research, you can visit here.
