single-click integrations
Agent Assist, Bot Builder, Contact Center Automation, Conversational AI

Integrations Simplified With Gnani.ai’s Automate365

Bot building is generally complicated. One of the trickiest steps of the bot-building process is integrating the bot to various business systems. Gnani.ai has managed to achieve the seemingly impossible with its low-code/no-code bot builder platform. This platform simplifies the entire bot-building process including integrations by using single-click integrations.  Channels

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conversational AI tech
Artificial Intelligence, Bot Builder, Contact Center Automation, Generative artificial intelligence, Natural Language Understanding, Speech Recognition, Voice Biometrics

Gnani.ai Empowers Business Growth Through Their Industry-Leading Tech Capabilities

The conversational AI tech market is supposed to grow from US$9.6 billion in 2023 to US$47.6 billion in 2033. Gnani.ai has been part of this market for a while and has taken many technical leaps in this time.  As research and innovation continued at Gnani.ai, they were soon far ahead

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Customer Experience
Artificial Intelligence, Bot Builder, Conversational AI, Customer Service Automation, Generative artificial intelligence

How Gnani.ai Gains an Edge Over the Competition

Gnani.ai’s bot builder platform is one of the most preferred customer experience (CX) design platforms across domains. Read on to find out how Gnani.ai manages to be an enterprise favorite. A Platform to Solve All Your Bot Building Woes   Gnani.ai has a low-code/no-code bot builder platform which has a

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Semantic Analysis v/s Syntactic Analysis in NLP
Artificial Intelligence, Bot Builder, Conversational AI, Voice Technology

Semantic Analysis v/s Syntactic Analysis in NLP

Semantic Analysis and Syntactic Analysis are two essential elements of NLP. Learn how these two benefit the advances in deep learning and AI. Understanding Natural Language Processing Natural Language Processing or NLP is a branch of computer science that deals with analyzing spoken and written language. Advances in NLP have

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