Cognizant revolutionizes AI: New software for agent networks!

Cognizant revolutionizes AI: New software for agent networks!

Today Cognizant (Nasdaq: CTSH) announced the release of theNeuro® AI Multi-Agent Acceleratorsannounced as open source software for research and academic purposes. This step aims to enable prototyping and building agent networks for different use cases. By fostering collaboration in the development of multi-agent systems, Cognizant aims to accelerate the adoption of artificial intelligence (AI).

Companies have the opportunity to...Multi-Agent Services Suitefrom Cognizant for large-scale use in commercial environments. The AI ​​agent market is estimated to grow from $5.1 billion in 2024 to $47.1 billion by 2030. Cognizant itself works with customers like Telstra to test and deploy multi-agent systems in various industries.

Neuro AI Multi-Agent Accelerator Features

The software offers a variety of features aimed at creating customized agent networks and optimizing their operations. Key features include:

• Intelligente Entdeckung von Gelegenheiten zur Erstellung maßgeschneiderter Agentennetzwerke.
• Schnelle Anpassung von Multi-Agenten-Systemen mithilfe natürlicher Sprache oder Vorlagen.
• Skalierbarer, verteilter Betrieb mit Unterstützung für selbst entwickelte Tools und APIs.
• Sicherer Umgang mit privaten Daten zur Einhaltung von Compliance-Vorgaben.
• Unabhängigkeit von LLM- und Cloud-Anbietern.

In addition, an optional protocol for coordination between agents enables self-organization and task distributionAgent2Agent (A2A) protocolpromotes collaboration between agents across different platforms. Cognizant is currently in over 65 conversations with various customers about agent-based AI.

Applications in practice

The company has already had success with a healthcare companyContract negotiatorAgent network developed and helped a consumer goods company analyze supply chains. Such applications demonstrate the versatility and efficiency of multi-agent systems, which are increasingly being used to automate complex tasks.

The integration of the platforms and the support of APIs, Retrieval-Augmented Generation (RAG) and third-party agents further expand the usage options. The software is characterized by its flexibility, which is also supported by the advantages of multi-agent systems such as scalability, specialization and flexibility. These systems enable more dynamic automation by using multiple agents to collaborate on different tasks, which is also reflected in the Azure AI platform, such as Microsoft reported.

The Neuro AI Multi-Agent Accelerator is currently being used by Cognizant to train 330,000 employees via the intranet1CognizantAssist assistants with various tasks. This implementation illustrates how comprehensively the open source solution can be anchored in the corporate structure and how it can contribute to increasing efficiency.