A new AI development framework and services are said to fast track multi-agent adoption by enabling interoperability and scalability to transform business processes.
AI is nervy. We know that a certain amount of Artificial Intelligence is somewhat nervy in its implementation because of concerns over decisioning bias, questions over the provenance of the datasets and foundation models that it is composed of… and due to the environments it is allowed to operate in and whether or not there are guardrails in place at the back end to make sure AI does what we humans intended.
The company’s recent development of its Neuro AI Multi-Agent Accelerator and Multi-Agent Service Suite is designed to help organizations accelerate the development of AI agents. As we know by now,of AI functionality that work increasingly autonomously without human intervention towards defined goals while learning as they go so that they become more adept at their tasks over time.
As we know from the current hype-cycle, agentic AI systems are helping bridge the gap that plain old-fashioned fixed-wheel automation used to offer us.Designed to speed up agentic AI adoption, Cognizant’s neuro AI tool can be described as a no-code development framework which includes a collection of pre-built, reference agent networks to enable businesses to rapidly prototype, customize and scale multi-agent systems.
"We are entering a pivotal era for human-plus-machine collaboration. Enterprises persisting with stand-alone agents to duplicate human work will struggle to achieve value," said Phil Fersht, CEO and chief analyst, HFS Research."Rather, they must deploy genuine organizational intelligence where agents and their human counterparts bring contextual intelligence to enhance workflows, datasets, and processes to deliver outcomes.
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