Information technology services company Cognizant Technology Solutions Corp. today unveiled enhancements to its Neuro AI Platform that allow enterprises to discover, prototype and develop artificial intelligence use cases rapidly.
The enhancements allow businesses to quickly identify and address key challenges by generating AI models using synthetic or anonymized data while providing predictive insights and decision-making guidance. The service also offers industry-specific configurations, allowing companies to scale AI use cases and drive measurable outcomes.
The new additions seek to address the issue where, according to a Cognizant and Oxford Economics study, most enterprises are looking to leverage AI to create new revenue but struggle with implementing and scaling cross-enterprise use cases. The same study also found that 70% of enterprises don’t think they’re moving fast enough.
The enhancements to Cognizant Neuro AI address these problems by allowing business leaders to identify what business problems to tackle, scope them and generate synthetic data or import their own anonymized data to start creating AI models. The platform can then predict and provide guidance on meeting business outcomes while also justifying those decisions to allow businesses to assess the impact of a variety of use cases.
Cognizant’s upgraded Neuro AI platform introduces several advanced features, including a multi-agent discovery tool called Opportunity Finder and a suite of large language model assistants. Opportunity Finder helps businesses identify AI decisioning use cases through a guided approach to uncovering potential applications. Clients can then use the drag-and-drop Model Orchestrator tool to prepare data and apply machine learning models, streamlining the process with the help of LLMs.
Once data preparation is complete, machine learning models are employed to predict outcomes, while AI models recommend decisions. The best-performing models can be further explored via a web interface or through interaction with LLM assistants to gain deeper insights and for fine-tuning. Cognizant says the multi-agent system enhances decision-making across a range of business challenges, making AI more accessible to enterprise leaders.
The enhanced Cognizant Neuro AI platform comes with preconfigured templates designed for various industries. The configurations cater to industries such as healthcare, finance and agriculture to help businesses quickly implement use cases such as drug discovery, fraud prevention, crop yield optimization and supply chain management.
“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 Chief Technology Officer Babak Hodjat. “Multi-agent AI systems hold the key to solving these problems, which is why 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,” Hodjat added.
Prashant Gaonkar, vice president of global strategy and planning of enterprise platforms at Cognizant, joined Dan McAllister, senior vice president of global alliances and channels at Boomi LP, on theCUBE, SiliconANGLE Media’s livestreaming studio, in May, when he discussed the use of AI in integrating and automating data: