Cognizant announced significant enhancements to its Cognizant Neuro AI platform, aimed at enabling enterprises to rapidly discover, prototype, and develop AI use cases that can improve decision-making, leading to better company performance and new revenue opportunities.
Cognizant Neuro AI platform predicts and guides meeting business outcomes while justifying those decisions, enabling businesses to quickly assess the impact of various use cases.
The enhanced Cognizant Neuro AI includes a multi-agent powered discovery tool to identify use cases, called Opportunity Finder, as well as a suite of large language model (LLM) assistants that form a powerful AI decision engine.
According to data from a Cognizant and Oxford Economics study, most enterprises (76%) are looking to leverage AI to create new revenue streams but struggle with implementing and scaling cross-enterprise use cases. Many (70%) also don’t think they’re moving fast enough.
The enhancements to Cognizant Neuro AI address these problems — in just minutes, business leaders can identify what business problems to tackle, scope them, and generate synthetic data or import their own anonymized data to start creating AI models.
Now available to Cognizant clients, the enhanced Cognizant Neuro AI platform has been tested, piloted and used by dozens of clients already and is backed by multiple patents. It can be leveraged for almost any industry or business challenge involving data analysis, from inventory management and dynamic pricing to fraud reduction and efficient staff allocation.
Gilead Sciences, a leading biopharmaceutical company and Cognizant client, commented on the enhanced Neuro AI platform:
“Many enterprises struggle to apply AI beyond predicting outcomes, and that’s because solving real business problems usually involves thousands of different scenarios often with conflicting priorities,” said Murali Vridhachalam, Head of Cloud, Data, and Analytics at Gilead Sciences.
“With these latest updates, Cognizant Neuro AI is the only platform I’ve seen that empowers businesses to quickly deploy end-to-end Gen AI use cases across various applications, and to uncover tangible, revenue-generating opportunities. Its innovative, multi-agent approach to managing decision workflows sets it apart in the industry,” he added.
The enhanced Cognizant Neuro AI platform has pre-built configurations that provide easy starting points for healthcare, finance, agriculture, and general templates for supply chain, call centers, customer retention, and price optimization.
“Businesses are struggling with how and where to apply AI to solve business problems, and that’s why we’ve seen most AI use cases limited to prediction-based outcomes or single LLM chat-based solutions,” said Babak Hodjat, Chief Technology Officer of AI at Cognizant.
“Multi-agent AI systems hold the key to solving these problems, which is why Cognizant Neuro AI is now built with one at its core. This platform puts business leaders – not just data scientists — in the driver’s seat so they can tap into their own domain knowledge to quickly test and establish decision-making use cases for AI in minutes and then provide the resulting model code to iterate at scale,” he added.
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