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"AI and ML have the potential to transform a business through incremental improvements in decision making over a long-term strategy. Business leaders recognize this potential: 74% of adopters believe AI will be integrated into all enterprise applications.
Despite this enthusiasm, IDC estimates 50% to 85% of AI deployments fail. The problem is these companies apply AI in a pointed fashion rather than within the context of a decision system. To extract value from AI, companies need to incorporate the technology into a formal decision process and define one if it doesn’t exist already. [Decision Intelligence] ensures that the decision is a first-class citizen and AI is orchestrated to support that."
We're reaching the end of an era in which we focused too much on data, separate from organizational outcomes and values. Decision Intelligence fills this gap by giving us a "decision blueprint" which connects data to actions and outcomes.
This year, DI is recognized as a top-ten technology by several organizations: it's hitting a "J curve" moment of big growth. This article explains why.
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