Accelerating AI Maturity: A Guide to Reducing Costs and Creating Value With AI Applications
According to a NewVantage Partners executive survey, over 90% of business leaders report that challenges to becoming datadriven are people and business process related and not about technology. Resultantly, while technology still plays a role, there are many other facets for organizations aiming to level up their AI maturity to consider. These facets, whether conspicuous or not, ultimately end up playing part in the cost optimization and value creation associated with AI applications.
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“Maturity is the focus on planning for and adapting to either an incremental or transformational process change. It is measured not only by cost reduction, but also by reduced cycle times, lower error rates, scalability, and business agility (the ability to respond or demonstrate insights previously unavailable).” - Gartner, Artificial Intelligence Maturity Model