Cognizant announced the launch of Cognizant AI Nexus, a modular, multi-model operating layer designed to help enterprises more quickly turn AI investment into proven business value by metering AI spend, governing AI quality and documenting results across every team.
As frontier model capabilities converge and prices compress, the AI model an enterprise chooses is becoming less important in driving differentiation in the market. A more relevant question has emerged: how quickly can an enterprise turn AI investment into value it can measure and defend? That value velocity gap is the operational expression of a larger problem and a larger opportunity. Cognizant research found that the total unrealized annual value of AI across the Global 2000 could be as much as $4.7 trillion.
Enterprises are moving past AI pilots, but many are still waiting for the returns. The same study found that two-thirds of Global 2000 leaders had yet to demonstrate measurable business productivity gains from AI, and one in four had paused or abandoned deployments. AI is also making technology spend both harder to see and harder to forecast. A new Cognizant survey of 250 FinOps leaders found that 72% of organizations exceeded their AI budget in the past 12 months, and 16% overshot by more than 25%.
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“Many enterprises have already made their AI commitments,” said Ravi Kumar S, CEO, Cognizant. “What boards and finance leaders need now is evidence: what that spend returns, who is accountable for it and how to get more from every dollar. Cognizant AI Nexus gives them one governed place to answer those questions and a way to keep improving the answer.”
Cognizant AI Nexus brings together five capabilities that enterprises can adopt independently, or together. Two of them, Engage and Orchestrate, change where work happens. The other three, Reveal, Coach and Route, govern how AI performs in that work.
Source: PRNewswire