Posted by Bangalore: Enterprise-grade Conversational AI platform Yellow.ai launched its proprietary DynamicNLP on Tuesday. Yellow.ai’s DynamicNLP enables zero training of NLP models helping enterprises go live within minutes with lower operational costs and an intent accuracy of over 97%.
Training AI agents with manual methods can take as long as six to nine months, making it one of the most common setup challenges faced by enterprises, according to a Deloitte study.
Yellow.ai’s DynamicNLP eliminates the tedious process of training and labelling Natural Language Processing (NLP) models manually. This enables Dynamic AI agents to learn on the fly, helping enterprises to set up Conversational AI flows within minutes, and reduce training data-related costs and efforts.
Yellow.ai’s DynamicNLP comes with a pre-trained model built using billions of anonymized conversations, which helps in the reduction of unidentified utterances by up to 60%, making the AI agents more human-like and scalable across industries with wider use-cases.
“Yellow.ai DynamicNLP is a first of its kind proprietary technology in the global enterprise Conversational AI industry; a breakthrough innovation that can help enterprises save time, effort, and operational cost while accelerating their go-live strategy,” said Raghu Ravinutala, Co-founder and CEO of Yellow.ai
“It enables our pre-trained Dynamic AI agents to deliver superlative moments of truth across the entirety of customers’ and employees’ life cycles. As global tech innovators, we see our DynamicNLP as a significant step forward in realizing the true potential of NLP as a game-changing technology,” added Ravinutala.
“Yellow.ai has helped us accelerate our AI automation journey for some of the most important use cases, and with the launch of DynamicNLP which enables zero training for NLP models, would elevate customer and employee experiences from day one,” said Eric Hansen, CIO, Waste Connections.
“We firmly believe that Yellow.ai DynamicNLP will open new avenues to scale up additional use cases of customer support and agent productivity,” added Hansen.