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Cognizant Announces Multi-Agent Orchestration for its Neuro® AI Platform
Enhanced platform integrates powerful multi-agent AI orchestration that can accelerate the enterprise AI productivity-to-growth journey Dozens of businesses have already leveraged the platform to rapidly identify, build and pilot AI decisioning use cases that can deliver business value at scale , /CNW/ -- Cognizant (NASDAQ:CTSH) today 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. 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. The platform can then predict and provide guidance on meeting business outcomes while justifying those decisions, thereby enabling businesses to quickly assess the impact of a variety of use cases. 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. The enhancements to the Neuro AI platform began as research projects at the , which launched earlier this year. The lab focuses on researching and developing decision-based AI systems, and these enhancements are the first developments from the lab that have been integrated into a commercial offering. 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 , 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." Another Cognizant client, Bayer Crop Science, also commented on their experience using the enhanced platform: "Agriculture is one of the most challenging professions, requiring intricate decision-making amid environmental uncertainties and the need to balance social, economic, and environmental objectives," said , Head of Decision Science at Bayer Crop Science. "We have directly tested several foundational components of Cognizant Neuro AI, especially LEAF, which has empowered us to navigate complex scenarios effectively. By harnessing the collaborative capabilities of specialized Gen AI agents, we look forward to addressing intricate decision-making challenges in a reliable, transparent, and trustworthy manner." Cognizant has integrated powerful new features as part of the enhancements to Cognizant Neuro AI, including 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 decisioning engine. Clients first interact with the platform through Opportunity Finder, an LLM-assistant that helps identify potential AI decisioning use cases for their businesses. The Model Orchestrator, featuring a drag-and-drop interface, then enables users to clean up the data and apply a variety of machine learning models to it. Data preparation is streamlined through LLMs and then machine learning models are applied to predict outcomes while evolutionary AI models prescribe decisions. Once trained, the best models can be further interrogated through a web interface or queried via an LLM assistant. The enhanced Cognizant Neuro AI platform is available with pre-built configurations that provide easy starting points for various use cases. These include healthcare (like drug discovery and treatment plans), finance (such as cybersecurity and fraud prevention), agriculture (like crop yield optimization and pesticide development), 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 , 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." According to Gartner, "Multiple agents can work toward a common goal that goes beyond the ability of individual agents. The combined application of multiple agents can tackle complex tasks that individual agents cannot, while creating more adaptable, scalable and robust solutions." , VP Automation, AI and Analytics at IDC also commented: "As enterprises start to try to approach AI strategically, and move beyond experimentation, they are crying out to understand how to identify and prioritize use cases. Providers that can use technology to help accelerate the identification of use cases, and then use that technology to test and scale implementations, will be in a strong position." To learn more about the enhanced Cognizant Neuro AI platform and sign up for a demo, visit cognizant.com/neuroai. About Cognizant Cognizant (Nasdaq: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we're improving everyday life. See how at www.cognizant.com or @cognizant. About the Cognizant AI Research Lab The mission of the is to maximize human potential with Decision AI, a form of AI that combines generative AI, multi-agent architecture, deep learning, and evolutionary AI to create sophisticated decision-making systems. Decision AI powers Cognizant's Neuro AI platform, which is utilized by Fortune 500 companies and non-profits to discover new ways to exceed their goals. The platform enables organizations to rapidly build AI that optimizes decision-making, leading to revenue growth and societal progress. Led by AI pioneers and Risto Miikkulainen, the lab collaborates with institutions, academia, and technology partners to develop groundbreaking AI solutions responsibly. With over 75 patents (issued or pending), the lab excels at combining scientific innovation with commercial application. It supports Cognizant's goal of improving everyday life, focusing on business and AI-for-good applications. Forward-Looking Statements This press release includes statements that may constitute forward-looking statements made pursuant to the safe harbor provisions of the Private Securities Litigation Reform Act of 1995, the accuracy of which are necessarily subject to risks, uncertainties and assumptions as to future events that may not prove to be accurate. These statements include, but are not limited to, express or implied forward-looking statements relating to the adoption of generative artificial intelligence and the effects of generative artificial intelligence on the workforce, businesses and economy. These statements are neither promises nor guarantees but are the findings of the study discussed above and remain subject to a variety of risks and uncertainties, many of which are beyond our control, which could cause actual results to differ materially from those contemplated in these forward-looking statements. Existing and prospective investors are cautioned not to place undue reliance on these forward-looking statements, which speak only as of the date hereof. Factors that could cause outcomes to differ materially from those expressed or implied include general economic conditions, the impact of technological development and competition, the competitive and rapidly changing nature of the markets we compete in, the competitive marketplace for talent and its impact on employee recruitment and retention, and the other factors discussed in our most recent Annual Report on Form 10-K and other filings with the . Cognizant undertakes no obligation to update or revise any forward-looking statements, whether as a result of new information, future events, or otherwise, except as may be required under applicable securities law. Gartner: Innovation Insight: AI Agents, . GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the and internationally and is used herein with permission. All rights reserved. For more information, contact: View original content to download multimedia:https://www.prnewswire.com/news-releases/cognizant-announces-multi-agent-orchestration-for-its-neuro-ai-platform-302277022.html
[2]
Cognizant Announces Multi-Agent Orchestration for its Neuro ® AI Platform By Investing.com
Enhanced platform integrates powerful multi-agent AI orchestration that can accelerate the enterprise AI productivity-to-growth journey Dozens of businesses have already leveraged the platform to rapidly identify, build and pilot AI decisioning use cases that can deliver business value at scale , /PRNewswire/ -- Cognizant (NASDAQ:CTSH) today 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. 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. The platform can then predict and provide guidance on meeting business outcomes while justifying those decisions, thereby enabling businesses to quickly assess the impact of a variety of use cases. 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. The enhancements to the Neuro AI platform began as research projects at the Cognizant AI Research Lab, which launched earlier this year. The lab focuses on researching and developing decision-based AI systems, and these enhancements are the first developments from the lab that have been integrated into a commercial offering. Gilead Sciences (NASDAQ:GILD), 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 , 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." Another Cognizant client, Bayer (OTC:BAYRY) Crop Science, also commented on their experience using the enhanced platform: "Agriculture is one of the most challenging professions, requiring intricate decision-making amid environmental uncertainties and the need to balance social, economic, and environmental objectives," said , Head of Decision Science at Bayer Crop Science. "We have directly tested several foundational components of Cognizant Neuro AI, especially LEAF, which has empowered us to navigate complex scenarios effectively. By harnessing the collaborative capabilities of specialized Gen AI agents, we look forward to addressing intricate decision-making challenges in a reliable, transparent, and trustworthy manner." Cognizant has integrated powerful new features as part of the enhancements to Cognizant Neuro AI, including 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 decisioning engine. Clients first interact with the platform through Opportunity Finder, an LLM-assistant that helps identify potential AI decisioning use cases for their businesses. The Model Orchestrator, featuring a drag-and-drop interface, then enables users to clean up the data and apply a variety of machine learning models to it. Data preparation is streamlined through LLMs and then machine learning models are applied to predict outcomes while evolutionary AI models prescribe decisions. Once trained, the best models can be further interrogated through a web interface or queried via an LLM assistant. The enhanced Cognizant Neuro AI platform is available with pre-built configurations that provide easy starting points for various use cases. These include healthcare (like drug discovery and treatment plans), finance (such as cybersecurity and fraud prevention), agriculture (like crop yield optimization and pesticide development), 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 , 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." According to Gartner (NYSE:IT), "Multiple agents can work toward a common goal that goes beyond the ability of individual agents. The combined application of multiple agents can tackle complex tasks that individual agents cannot, while creating more adaptable, scalable and robust solutions." , VP Automation, AI and Analytics at IDC also commented: "As enterprises start to try to approach AI strategically, and move beyond experimentation, they are crying out to understand how to identify and prioritize use cases. Providers that can use technology to help accelerate the identification of use cases, and then use that technology to test and scale implementations, will be in a strong position." To learn more about the enhanced Cognizant Neuro AI platform and sign up for a demo, visit cognizant.com/neuroai. About Cognizant Cognizant (Nasdaq: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we're improving everyday life. See how at www.cognizant.com or @cognizant. About the Cognizant AI Research Lab The mission of the Cognizant AI Research Lab is to maximize human potential with Decision AI, a form of AI that combines generative AI, multi-agent architecture, deep learning, and evolutionary AI to create sophisticated decision-making systems. Decision AI powers Cognizant's Neuro AI platform, which is utilized by Fortune 500 companies and non-profits to discover new ways to exceed their goals. The platform enables organizations to rapidly build AI that optimizes decision-making, leading to revenue growth and societal progress. Led by AI pioneers and Risto Miikkulainen, the lab collaborates with institutions, academia, and technology partners to develop groundbreaking AI solutions responsibly. With over 75 patents (issued or pending), the lab excels at combining scientific innovation with commercial application. It supports Cognizant's goal of improving everyday life, focusing on business and AI-for-good applications. Forward-Looking Statements This press release includes statements that may constitute forward-looking statements made pursuant to the safe harbor provisions of the Private Securities Litigation Reform Act of 1995, the accuracy of which are necessarily subject to risks, uncertainties and assumptions as to future events that may not prove to be accurate. These statements include, but are not limited to, express or implied forward-looking statements relating to the adoption of generative artificial intelligence and the effects of generative artificial intelligence on the workforce, businesses and economy. These statements are neither promises nor guarantees but are the findings of the study discussed above and remain subject to a variety of risks and uncertainties, many of which are beyond our control, which could cause actual results to differ materially from those contemplated in these forward-looking statements. Existing and prospective investors are cautioned not to place undue reliance on these forward-looking statements, which speak only as of the date hereof. Factors that could cause outcomes to differ materially from those expressed or implied include general economic conditions, the impact of technological development and competition, the competitive and rapidly changing nature of the markets we compete in, the competitive marketplace for talent and its impact on employee recruitment and retention, and the other factors discussed in our most recent Annual Report on Form 10-K and other filings with the Securities and Exchange Commission. Cognizant undertakes no obligation to update or revise any forward-looking statements, whether as a result of new information, future events, or otherwise, except as may be required under applicable securities law. Gartner: Innovation Insight: AI Agents, . GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the and internationally and is used herein with permission. All rights reserved.
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Cognizant announces significant upgrades to its Neuro AI platform, introducing multi-agent orchestration to help businesses rapidly develop and implement AI use cases for improved decision-making and revenue generation.
Cognizant (NASDAQ:CTSH) has announced significant enhancements to its Cognizant Neuro AI platform, aimed at accelerating enterprise AI adoption and productivity 12. The upgraded platform introduces multi-agent orchestration, a powerful feature designed to help businesses quickly identify, prototype, and develop AI use cases for improved decision-making and revenue generation.
According to a Cognizant and Oxford Economics study, 76% of enterprises are seeking to leverage AI for new revenue streams, but many struggle with implementation and scaling 1. The enhanced Neuro AI platform addresses these challenges by enabling business leaders to:
The platform can predict outcomes and provide guidance while justifying decisions, allowing businesses to quickly assess the impact of various use cases 2.
The upgraded Cognizant Neuro AI platform includes several new features:
These features work together to streamline data preparation, apply machine learning models for outcome prediction, and use evolutionary AI models for decision prescription 12.
The enhanced platform offers pre-built configurations for various industries and use cases, including:
Gilead Sciences and Bayer Crop Science, both Cognizant clients, have praised the enhanced platform:
"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," said the Head of Cloud, Data, and Analytics at Gilead Sciences 1.
Bayer Crop Science's Head of Decision Science highlighted the platform's ability to navigate complex scenarios effectively, particularly in agriculture, where decision-making involves balancing social, economic, and environmental objectives 2.
Cognizant's Chief Technology Officer of AI emphasized the importance of multi-agent AI systems in solving complex business problems. The Neuro AI platform's core now features a multi-agent system, putting business leaders in the driver's seat to leverage their domain knowledge for quick testing and establishment of AI use cases 12.
Gartner, a leading research and advisory company, supports this approach, stating that multiple agents can work towards common goals beyond the abilities of individual agents, creating more adaptable, scalable, and robust solutions 12.
As enterprises continue to seek ways to harness AI for business growth, Cognizant's enhanced Neuro AI platform represents a significant step forward in making advanced AI capabilities more accessible and actionable for businesses across various industries.
Reference
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Cognizant introduces a new no-code development framework and services suite to accelerate the adoption of multi-agent AI systems in enterprises, aiming to transform business processes and enhance collaboration between AI agents.
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