Cognizant revolutionizes AI: New software for agent networks!

Cognizant revolutionizes AI: New software for agent networks!

Keine Adresse oder Ort angegeben. - Today, Cognizant (Nasdaq: CTSH) has announced the publication of the neuro® AI Multi-Agent Accelerator as spring-open software for research and academic purposes. This step aims to enable prototyping and structure of agent networks for different applications. By promoting cooperation in the development of multi-agent systems, Cognizant wants to accelerate the introduction of artificial intelligence (AI).

companies have the option of using the multi-agent services suite from cognizant for large-scale use in commercial environments. According to estimates, the market for AI agents will grow from $ 5.1 billion in 2024 to $ 47.1 billion by 2030. Cognizant himself works with customers such as Telstra to test multi-agent systems and use it in various industries.

functions of the neuro ai multi-agent accelerator

The software offers a variety of functions that aim to create tailor -made agent networks and optimize their operation. The main features include:

• Intelligent discovery of opportunities for the creation of tailor -made agent networks.
• Fast adaptation of multi-agent systems using natural language or templates.
• scalable, distributed operation with support for self -developed tools and apis.
• Safe handling of private data for compliance with compliance requirements.
• Independence of LLM and cloud providers.

In addition, an optional protocol for coordination between agents enables self-organization and duties distribution, the agent2Agent (A2A) protocol promotes cooperation between agents across various platforms. Cognizant currently has over 65 discussions with various customers about agent -based AI.

applications in practice

The company has already successfully developed a contractor negotiator agent network with a health company and helped a company in the area of consumer goods to analyze supply chains. Such applications illustrate the versatility and efficiency of multi-agent systems that are increasingly being used for automation of complex tasks.

The integration of the platforms and the support of APIS, Retrieval Augmented Generation (RAG) and third-party agent further expand the possible uses. 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 several agents to work on various tasks, which is also reflected in the Azure AI platform, such as Microsoft reported.

The Neuro Ai Multi-Agent Accelerator is currently used by cognizant to support 330,000 employees via the intranet with the 1Cognizant assistant in various tasks. This implementation illustrates how extensive the open source solution in the corporate structure can be anchored and how it can contribute to increasing efficiency.